Search

Your search keyword '"Hawkes, David J."' showing total 811 results
Start Over Author "Hawkes, David J."
811 results on '"Hawkes, David J."'

1. Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks

Author

Brandao, Patrick, Zisimopoulos, Odysseas, Mazomenos, Evangelos, Ciuti, Gastone, Bernal, Jorge, Visentini-Scarzanella, Marco, Menciassi, Arianna, Dario, Paolo, Koulaouzidis, Anastasios, Arezzo, Alberto, Hawkes, David J, and Stoyanov, Danail

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning
Abstract

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable diagnostic tool when combined with automated image analysis. We present a deep learning rooted detection and segmentation framework for recognizing lesions in colonoscopy and capsule endoscopy images. We restructure established convolution architectures, such as VGG and ResNets, by converting them into fully-connected convolution networks (FCNs), fine-tune them and study their capabilities for polyp segmentation and detection. We additionally use Shape from-Shading (SfS) to recover depth and provide a richer representation of the tissue's structure in colonoscopy images. Depth is incorporated into our network models as an additional input channel to the RGB information and we demonstrate that the resulting network yields improved performance. Our networks are tested on publicly available datasets and the most accurate segmentation model achieved a mean segmentation IU of 47.78% and 56.95% on the ETIS-Larib and CVC-Colon datasets, respectively. For polyp detection, the top performing models we propose surpass the current state of the art with detection recalls superior to 90% for all datasets tested. To our knowledge, we present the first work to use FCNs for polyp segmentation in addition to proposing a novel combination of SfS and RGB that boosts performance, Comment: 10 pages, 6 figures

Published
2021
Full Text
View/download PDF

2. Image quality assessment for closed-loop computer-assisted lung ultrasound

Author

Baum, Zachary M C, Bonmati, Ester, Cristoni, Lorenzo, Walden, Andrew, Prados, Ferran, Kanber, Baris, Barratt, Dean C, Hawkes, David J, Parker, Geoffrey J M, Wheeler-Kingshott, Claudia A M Gandini, and Hu, Yipeng

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Machine Learning
Abstract

We describe a novel, two-stage computer assistance system for lung anomaly detection using ultrasound imaging in the intensive care setting to improve operator performance and patient stratification during coronavirus pandemics. The proposed system consists of two deep-learning-based models: a quality assessment module that automates predictions of image quality, and a diagnosis assistance module that determines the likelihood-oh-anomaly in ultrasound images of sufficient quality. Our two-stage strategy uses a novelty detection algorithm to address the lack of control cases available for training the quality assessment classifier. The diagnosis assistance module can then be trained with data that are deemed of sufficient quality, guaranteed by the closed-loop feedback mechanism from the quality assessment module. Using more than 25000 ultrasound images from 37 COVID-19-positive patients scanned at two hospitals, plus 12 control cases, this study demonstrates the feasibility of using the proposed machine learning approach. We report an accuracy of 86% when classifying between sufficient and insufficient quality images by the quality assessment module. For data of sufficient quality - as determined by the quality assessment module - the mean classification accuracy, sensitivity, and specificity in detecting COVID-19-positive cases were 0.95, 0.91, and 0.97, respectively, across five holdout test data sets unseen during the training of any networks within the proposed system. Overall, the integration of the two modules yields accurate, fast, and practical acquisition guidance and diagnostic assistance for patients with suspected respiratory conditions at point-of-care., Comment: 7 pages, 3 figures - Accepted to SPIE Medical Imaging 2021

Published
2020

3. The challenges of deploying artificial intelligence models in a rapidly evolving pandemic

Author

Hu, Yipeng, Jacob, Joseph, Parker, Geoffrey JM, Hawkes, David J, Hurst, John R, and Stoyanov, Danail

Subjects
Computer Science - Computers and Society, Computer Science - Machine Learning
Abstract

The COVID-19 pandemic, caused by the severe acute respiratory syndrome coronavirus 2, emerged into a world being rapidly transformed by artificial intelligence (AI) based on big data, computational power and neural networks. The gaze of these networks has in recent years turned increasingly towards applications in healthcare. It was perhaps inevitable that COVID-19, a global disease propagating health and economic devastation, should capture the attention and resources of the world's computer scientists in academia and industry. The potential for AI to support the response to the pandemic has been proposed across a wide range of clinical and societal challenges, including disease forecasting, surveillance and antiviral drug discovery. This is likely to continue as the impact of the pandemic unfolds on the world's people, industries and economy but a surprising observation on the current pandemic has been the limited impact AI has had to date in the management of COVID-19. This correspondence focuses on exploring potential reasons behind the lack of successful adoption of AI models developed for COVID-19 diagnosis and prognosis, in front-line healthcare services. We highlight the moving clinical needs that models have had to address at different stages of the epidemic, and explain the importance of translating models to reflect local healthcare environments. We argue that both basic and applied research are essential to accelerate the potential of AI models, and this is particularly so during a rapidly evolving pandemic. This perspective on the response to COVID-19, may provide a glimpse into how the global scientific community should react to combat future disease outbreaks more effectively., Comment: Accepted in Nature Machine Intelligence

Published
2020
Full Text
View/download PDF

7. Reproducibility of an airway tapering measurement in CT with application to bronchiectasis

Author

Quan, Kin, Tanno, Ryutaro, Shipley, Rebecca J., Brown, Jeremy S., Jacob, Joseph, Hurst, John R., and Hawkes, David J.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics
Abstract

Purpose: This paper proposes a pipeline to acquire a scalar tapering measurement from the carina to the most distal point of an individual airway visible on CT. We show the applicability of using tapering measurements on clinically acquired data by quantifying the reproducibility of the tapering measure. Methods: We generate a spline from the centreline of an airway to measure the area and arclength at contiguous intervals. The tapering measurement is the gradient of the linear regression between area in log space and arclength. The reproducibility of the measure was assessed by analysing different radiation doses, voxel sizes and reconstruction kernel on single timepoint and longitudinal CT scans and by evaluating the effct of airway bifurcations. Results: Using 74 airways from 10 CT scans, we show a statistical difference, p = 3.4 $\times$ 10$^{-4}$ in tapering between healthy airways (n = 35) and those affected by bronchiectasis (n = 39). The difference between the mean of the two populations was 0.011mm$^{-1}$ and the difference between the medians of the two populations was 0.006mm$^{-1}$. The tapering measurement retained a 95\% confidence interval of $\pm$0.005mm$^{-1}$ in a simulated 25 mAs scan and retained a 95% confidence of $\pm$0.005mm$^{-1}$ on simulated CTs up to 1.5 times the original voxel size. Conclusion: We have established an estimate of the precision of the tapering measurement and estimated the effect on precision of simulated voxel size and CT scan dose. We recommend that the scanner calibration be undertaken with the phantoms as described, on the specific CT scanner, radiation dose and reconstruction algorithm that is to be used in any quantitative studies. Our code is available at https://github.com/quan14/AirwayTaperingInCT, Comment: 55 pages, 18 figures, The manuscript was originally published in Journal of Medical Imaging

Published
2019
Full Text
View/download PDF

8. Tapering Analysis of Airways with Bronchiectasis

Author

Quan, Kin, Shipley, Rebecca J., Tanno, Ryutaro, McPhillips, Graeme, Vavourakis, Vasileios, Edwards, David, Jacob, Joseph, Hurst, John R., and Hawkes, David J.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics, Quantitative Biology - Quantitative Methods
Abstract

Bronchiectasis is the permanent dilation of airways. Patients with the disease can suffer recurrent exacerbations, reducing their quality of life. The gold standard to diagnose and monitor bronchiectasis is accomplished by inspection of chest computed tomography (CT) scans. A clinician examines the broncho-arterial ratio to determine if an airway is brochiectatic. The visual analysis assumes the blood vessel diameter remains constant, although this assumption is disputed in the literature. We propose a simple measurement of tapering along the airways to diagnose and monitor bronchiectasis. To this end, we constructed a pipeline to measure the cross-sectional area along the airways at contiguous intervals, starting from the carina to the most distal point observable. Using a phantom with calibrated 3D printed structures, the precision and accuracy of our algorithm extends to the sub voxel level. The tapering measurement is robust to bifurcations along the airway and was applied to chest CT images acquired in clinical practice. The result is a statistical difference in tapering rate between airways with bronchiectasis and controls. Our code is available at https://github.com/quan14/AirwayTaperingInCT., Comment: 12 pages, 7 figures. Previously submitted for SPIE Medical Imaging, 2018, Houston, Texas, United States

Published
2019
Full Text
View/download PDF

10. Spectral imaging of thermal damage induced during microwave ablation in the liver

Author

Clancy, Neil T., Gurusamy, Kurinchi, Jones, Geoffrey, Davidson, Brian, Clarkson, Matthew J., Hawkes, David J., and Stoyanov, Danail

Subjects
Physics - Medical Physics, 78A70 (Primary), 92C55, 78M22 (Secondary)
Abstract

Induction of thermal damage to tissue through delivery of microwave energy is frequently applied in surgery to destroy diseased tissue such as cancer cells. Minimization of unwanted harm to healthy tissue is still achieved subjectively, and the surgeon has few tools at their disposal to monitor the spread of the induced damage. This work describes the use of optical methods to monitor the time course of changes to the tissue during delivery of microwave energy in the porcine liver. Multispectral imaging and diffuse reflectance spectroscopy are used to monitor temporal changes in optical properties in parallel with thermal imaging. The results demonstrate the ability to monitor the spatial extent of thermal damage on a whole organ, including possible secondary effects due to vascular damage. Future applications of this type of imaging may see the multispectral data used as a feedback mechanism to avoid collateral damage to critical healthy structures and to potentially verify sufficient application of energy to the diseased tissue., Comment: 4pg,6fig. Copyright 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

Published
2018
Full Text
View/download PDF

11. Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning

Author

Bragman, Felix J. S., Tanno, Ryutaro, Eaton-Rosen, Zach, Li, Wenqi, Hawkes, David J., Ourselin, Sebastien, Alexander, Daniel C., McClelland, Jamie R., and Cardoso, M. Jorge

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Multi-task neural network architectures provide a mechanism that jointly integrates information from distinct sources. It is ideal in the context of MR-only radiotherapy planning as it can jointly regress a synthetic CT (synCT) scan and segment organs-at-risk (OAR) from MRI. We propose a probabilistic multi-task network that estimates: 1) intrinsic uncertainty through a heteroscedastic noise model for spatially-adaptive task loss weighting and 2) parameter uncertainty through approximate Bayesian inference. This allows sampling of multiple segmentations and synCTs that share their network representation. We test our model on prostate cancer scans and show that it produces more accurate and consistent synCTs with a better estimation in the variance of the errors, state of the art results in OAR segmentation and a methodology for quality assurance in radiotherapy treatment planning., Comment: Early-accept at MICCAI 2018, 8 pages, 4 figures

Published
2018
Full Text
View/download PDF

12. Disease Progression Modeling in Chronic Obstructive Pulmonary Disease

Author

Young, Alexandra L, Bragman, Felix JS, Rangelov, Bojidar, Han, MeiLan K, Galbán, Craig J, Lynch, David A, Hawkes, David J, Alexander, Daniel C, Hurst, John R, Crapo, James D, Silverman, Edwin K, Make, Barry J, Regan, Elizabeth A, Beaty, Terri, Begum, Ferdouse, Castaldi, Peter J, Cho, Michael, DeMeo, Dawn L, Boueiz, Adel R, Foreman, Marilyn G, Halper-Stromberg, Eitan, Hayden, Lystra P, Hersh, Craig P, Hetmanski, Jacqueline, Hobbs, Brian D, Hokanson, John E, Laird, Nan, Lange, Christoph, Lutz, Sharon M, McDonald, Merry-Lynn, Parker, Margaret M, Qiao, Dandi, Wan, Emily S, Won, Sungho, Sakornsakolpat, Phuwanat, Prokopenko, Dmitry, Al Qaisi, Mustafa, Coxson, Harvey O, Gray, Teresa, Hoffman, Eric A, Humphries, Stephen, Jacobson, Francine L, Judy, Philip F, Kazerooni, Ella A, Kluiber, Alex, Newell, John D, Ross, James C, Estepar, Raul San Jose, Schroeder, Joyce, Sieren, Jered, Stinson, Douglas, Stoel, Berend C, Tschirren, Juerg, Van Beek, Edwin, van Ginneken, Bram, van Rikxoort, Eva, Washko, George, Wilson, Carla G, Jensen, Robert, Everett, Douglas, Crooks, Jim, Moore, Camille, Strand, Matt, Hughes, John, Kinney, Gregory, Pratte, Katherine, Young, Kendra A, Bhatt, Surya, Bon, Jessica, Martinez, Carlos, Murray, Susan, Soler, Xavier, Bowler, Russell P, Kechris, Katerina, Banaei-Kashani, Farnoush, Curtis, Jeffrey L, Martinez, Carlos H, Pernicano, Perry G, Hanania, Nicola, Alapat, Philip, Atik, Mustafa, Bandi, Venkata, Boriek, Aladin, Guntupalli, Kalpatha, Guy, Elizabeth, Nachiappan, Arun, Parulekar, Amit, Barr, R Graham, Austin, John, D’Souza, Belinda, Pearson, Gregory DN, Rozenshtein, Anna, Thomashow, Byron, MacIntyre, Neil, McAdams, H Page, Washington, Lacey, McEvoy, Charlene, and Tashjian, Joseph

Subjects
Biomedical Imaging, Lung, Clinical Research, Chronic Obstructive Pulmonary Disease, Aetiology, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, 4.1 Discovery and preclinical testing of markers and technologies, 2.1 Biological and endogenous factors, Respiratory, Aged, Disease Progression, Female, Humans, Male, Middle Aged, Models, Theoretical, Pulmonary Disease, Chronic Obstructive, Tomography, X-Ray Computed, clustering, CT imaging, emphysema, bronchitis, chronic obstructive pulmonary disease, COPDGene Investigators, Medical and Health Sciences, Respiratory System
Abstract

Rationale: The decades-long progression of chronic obstructive pulmonary disease (COPD) renders identifying different trajectories of disease progression challenging.Objectives: To identify subtypes of patients with COPD with distinct longitudinal progression patterns using a novel machine-learning tool called "Subtype and Stage Inference" (SuStaIn) and to evaluate the utility of SuStaIn for patient stratification in COPD.Methods: We applied SuStaIn to cross-sectional computed tomography imaging markers in 3,698 Global Initiative for Chronic Obstructive Lung Disease (GOLD) 1-4 patients and 3,479 controls from the COPDGene (COPD Genetic Epidemiology) study to identify subtypes of patients with COPD. We confirmed the identified subtypes and progression patterns using ECLIPSE (Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints) data. We assessed the utility of SuStaIn for patient stratification by comparing SuStaIn subtypes and stages at baseline with longitudinal follow-up data.Measurements and Main Results: We identified two trajectories of disease progression in COPD: a "Tissue→Airway" subtype (n = 2,354, 70.4%), in which small airway dysfunction and emphysema precede large airway wall abnormalities, and an "Airway→Tissue" subtype (n = 988, 29.6%), in which large airway wall abnormalities precede emphysema and small airway dysfunction. Subtypes were reproducible in ECLIPSE. Baseline stage in both subtypes correlated with future FEV1/FVC decline (r = -0.16 [P

Published
2020

13. Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas

Author

Kuzhagaliyev, Timur, Clancy, Neil T., Janatka, Mirek, Tchaka, Kevin, Vasconcelos, Francisco, Clarkson, Matthew J., Gurusamy, Kurinchi, Hawkes, David J., Davidson, Brian, and Stoyanov, Danail

Subjects
Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics
Abstract

Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas. The process involves applying a high voltage electric field to the tissue containing the mass using needle electrodes, leaving cancerous cells irreversibly damaged and vulnerable to apoptosis. Efficacy of the treatment depends heavily on the accuracy of needle placement and requires a high degree of skill from the operator. In this paper, we describe an Augmented Reality (AR) system designed to overcome the challenges associated with planning and guiding the needle insertion process. Our solution, based on the HoloLens (Microsoft, USA) platform, tracks the position of the headset, needle electrodes and ultrasound (US) probe in space. The proof of concept implementation of the system uses this tracking data to render real-time holographic guides on the HoloLens, giving the user insight into the current progress of needle insertion and an indication of the target needle trajectory. The operator's field of view is augmented using visual guides and real-time US feed rendered on a holographic plane, eliminating the need to consult external monitors. Based on these early prototypes, we are aiming to develop a system that will lower the skill level required for IRE while increasing overall accuracy of needle insertion and, hence, the likelihood of successful treatment., Comment: 6 pages, 5 figures. Proc. SPIE 10576 (2018) Copyright 2018 Society of Photo Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, or modification of the contents of the publication are prohibited

Published
2018
Full Text
View/download PDF

14. A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images

Author

McClelland, Jamie R, Modat, Marc, Arridge, Simon, Grimes, Helen, D’Souza, Derek, Thomas, David, Connell, Dylan O’, Low, Daniel A, Kaza, Evangelia, Collins, David J, Leach, Martin O, and Hawkes, David J

Subjects
Medical and Biological Physics, Physical Sciences, Bioengineering, Biomedical Imaging, Algorithms, Four-Dimensional Computed Tomography, Humans, Image Processing, Computer-Assisted, Models, Biological, Movement, Phantoms, Imaging, Respiration, respiratory motion modelling, image registration, respiratory surrogate signals, motion compensated image reconstruction, super-resolution, CT, MR, Other Physical Sciences, Biomedical Engineering, Clinical Sciences, Nuclear Medicine & Medical Imaging, Medical and biological physics
Abstract

Surrogate-driven respiratory motion models relate the motion of the internal anatomy to easily acquired respiratory surrogate signals, such as the motion of the skin surface. They are usually built by first using image registration to determine the motion from a number of dynamic images, and then fitting a correspondence model relating the motion to the surrogate signals. In this paper we present a generalized framework that unifies the image registration and correspondence model fitting into a single optimization. This allows the use of 'partial' imaging data, such as individual slices, projections, or k-space data, where it would not be possible to determine the motion from an individual frame of data. Motion compensated image reconstruction can also be incorporated using an iterative approach, so that both the motion and a motion-free image can be estimated from the partial image data. The framework has been applied to real 4DCT, Cine CT, multi-slice CT, and multi-slice MR data, as well as simulated datasets from a computer phantom. This includes the use of a super-resolution reconstruction method for the multi-slice MR data. Good results were obtained for all datasets, including quantitative results for the 4DCT and phantom datasets where the ground truth motion was known or could be estimated.

Published
2017

16. Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study

Author

Roth, Holger R., Hampshire, Thomas E., Helbren, Emma, Hu, Mingxing, Vega, Roser, Halligan, Steve, and Hawkes, David J.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Potentially precancerous polyps detected with CT colonography (CTC) need to be removed subsequently, using an optical colonoscope (OC). Due to large colonic deformations induced by the colonoscope, even very experienced colonoscopists find it difficult to pinpoint the exact location of the colonoscope tip in relation to polyps reported on CTC. This can cause unduly prolonged OC examinations that are stressful for the patient, colonoscopist and supporting staff. We developed a method, based on monocular 3D reconstruction from OC images, that automatically matches polyps observed in OC with polyps reported on prior CTC. A matching cost is computed, using rigid point-based registration between surface point clouds extracted from both modalities. A 3D printed and painted phantom of a 25 cm long transverse colon segment was used to validate the method on two medium sized polyps. Results indicate that the matching cost is smaller at the correct corresponding polyp between OC and CTC: the value is 3.9 times higher at the incorrect polyp, comparing the correct match between polyps to the incorrect match. Furthermore, we evaluate the matching of the reconstructed polyp from OC with other colonic endoluminal surface structures such as haustral folds and show that there is a minimum at the correct polyp from CTC. Automated matching between polyps observed at OC and prior CTC would facilitate the biopsy or removal of true-positive pathology or exclusion of false-positive CTC findings, and would reduce colonoscopy false-negative (missed) polyps. Ultimately, such a method might reduce healthcare costs, patient inconvenience and discomfort., Comment: This paper was presented at the SPIE Medical Imaging 2014 conference

Published
2015
Full Text
View/download PDF

17. Numerical Methods for Coupled Reconstruction and Registration in Digital Breast Tomosynthesis

Author

Yang, Guang, Hipwell, John H., Hawkes, David J., and Arridge, Simon R.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Physics - Medical Physics
Abstract

Digital Breast Tomosynthesis (DBT) provides an insight into the fine details of normal fibroglandular tissues and abnormal lesions by reconstructing a pseudo-3D image of the breast. In this respect, DBT overcomes a major limitation of conventional X-ray mammography by reducing the confounding effects caused by the superposition of breast tissue. In a breast cancer screening or diagnostic context, a radiologist is interested in detecting change, which might be indicative of malignant disease. To help automate this task image registration is required to establish spatial correspondence between time points. Typically, images, such as MRI or CT, are first reconstructed and then registered. This approach can be effective if reconstructing using a complete set of data. However, for ill-posed, limited-angle problems such as DBT, estimating the deformation is complicated by the significant artefacts associated with the reconstruction, leading to severe inaccuracies in the registration. This paper presents a mathematical framework, which couples the two tasks and jointly estimates both image intensities and the parameters of a transformation. We evaluate our methods using various computational digital phantoms, uncompressed breast MR images, and in-vivo DBT simulations. Firstly, we compare both iterative and simultaneous methods to the conventional, sequential method using an affine transformation model. We show that jointly estimating image intensities and parametric transformations gives superior results with respect to reconstruction fidelity and registration accuracy. Also, we incorporate a non-rigid B-spline transformation model into our simultaneous method. The results demonstrate a visually plausible recovery of the deformation with preservation of the reconstruction fidelity., Comment: 29 pages, 22 figures; The Annals of the British Machine Vision Association and Society for Pattern Recognition (BMVA) 2013

Published
2013

18. VERDICT Prostate Parameter Estimation with AMICO

Author

Bonet-Carne, Elisenda, Daducci, Alessandro, Johnston, Edward, Jacobs, Joseph, Freeman, Alex, Atkinson, David, Hawkes, David J., Punwani, Shonit, Alexander, Daniel C., Panagiotaki, Eleftheria, Hege, Hans-Christian, Series Editor, Hoffman, David, Series Editor, Johnson, Christopher R., Series Editor, Polthier, Konrad, Series Editor, Rumpf, Martin, Series Editor, Kaden, Enrico, editor, Grussu, Francesco, editor, Ning, Lipeng, editor, Tax, Chantal M. W., editor, and Veraart, Jelle, editor

Published
2018
Full Text
View/download PDF

19. Statistical Motion Mask and Sliding Registration

Author

Eiben, Björn, Tran, Elena H., Menten, Martin J., Oelfke, Uwe, Hawkes, David J., McClelland, Jamie R., Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Klein, Stefan, editor, Staring, Marius, editor, Durrleman, Stanley, editor, and Sommer, Stefan, editor

Published
2018
Full Text
View/download PDF

20. A Comparative Study of Breast Surface Reconstruction for Aesthetic Outcome Assessment

Author

Lacher, René M., Vasconcelos, Francisco, Bishop, David C., Williams, Norman R., Keshtgar, Mohammed, Hawkes, David J., Hipwell, John H., Stoyanov, Danail, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Descoteaux, Maxime, editor, Maier-Hein, Lena, editor, Franz, Alfred, editor, Jannin, Pierre, editor, Collins, D. Louis, editor, and Duchesne, Simon, editor

Published
2017
Full Text
View/download PDF

21. Manifold Learning of COPD

Author

Bragman, Felix J. S., McClelland, Jamie R., Jacob, Joseph, Hurst, John R., Hawkes, David J., Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Weikum, Gerhard, Series Editor, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Descoteaux, Maxime, editor, Maier-Hein, Lena, editor, Franz, Alfred, editor, Jannin, Pierre, editor, Collins, D. Louis, editor, and Duchesne, Simon, editor

Published
2017
Full Text
View/download PDF

24. Whole Mastectomy Volume Reconstruction from 2D Radiographs and Its Mapping to Histology

Author

Mertzanidou, Thomy, Hipwell, John H., Reis, Sara, Bejnordi, Babak Ehteshami, Hermsen, Meyke, Dalmis, Mehmet, Vreemann, Suzan, Platel, Bram, van der Laak, Jeroen, Karssemeijer, Nico, Mann, Ritse, Bult, Peter, Hawkes, David J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tingberg, Anders, editor, Lång, Kristina, editor, and Timberg, Pontus, editor

Published
2016
Full Text
View/download PDF

25. Breast Conserving Surgery Outcome Prediction: A Patient-Specific, Integrated Multi-modal Imaging and Mechano-Biological Modelling Framework

Author

Eiben, Björn, Lacher, Rene, Vavourakis, Vasileios, Hipwell, John H., Stoyanov, Danail, Williams, Norman R., Sabczynski, Jörg, Bülow, Thomas, Kutra, Dominik, Meetz, Kirsten, Young, Stewart, Barschdorf, Hans, Oliveira, Hélder P., Cardoso, Jaime S., Monteiro, João P., Zolfagharnasab, Hooshiar, Sinkus, Ralph, Gouveia, Pedro, Liefers, Gerrit-Jan, Molenkamp, Barbara, van de Velde, Cornelis J. H., Hawkes, David J., Cardoso, Maria João, Keshtgar, Mohammed, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Tingberg, Anders, editor, Lång, Kristina, editor, and Timberg, Pontus, editor

Published
2016
Full Text
View/download PDF

26. 2D-3D Registration Accuracy Estimation for Optimised Planning of Image-Guided Pancreatobiliary Interventions

Author

Hu, Yipeng, Bonmati, Ester, Gibson, Eli, Hipwell, John H., Hawkes, David J., Bandula, Steven, Pereira, Stephen P., Barratt, Dean C., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Ourselin, Sebastien, editor, Joskowicz, Leo, editor, Sabuncu, Mert R., editor, Unal, Gozde, editor, and Wells, William, editor

Published
2016
Full Text
View/download PDF

27. Image Based Surgical Instrument Pose Estimation with Multi-class Labelling and Optical Flow

Author

Allan, Max, Chang, Ping-Lin, Ourselin, Sébastien, Hawkes, David J., Sridhar, Ashwin, Kelly, John, Stoyanov, Danail, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Navab, Nassir, editor, Hornegger, Joachim, editor, Wells, William M., editor, and Frangi, Alejandro, editor

Published
2015
Full Text
View/download PDF

28. Multi-scale Analysis of Imaging Features and Its Use in the Study of COPD Exacerbation Susceptible Phenotypes

Author

Bragman, Felix J. S., McClelland, Jamie R., Modat, Marc, Ourselin, Sébastien, Hurst, John R., Hawkes, David J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Golland, Polina, editor, Hata, Nobuhiko, editor, Barillot, Christian, editor, Hornegger, Joachim, editor, and Howe, Robert, editor

Published
2014
Full Text
View/download PDF

29. Combining Image Registration, Respiratory Motion Modelling, and Motion Compensated Image Reconstruction

Author

McClelland, Jamie R., Champion, Benjamin A. S., Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Ourselin, Sébastien, editor, and Modat, Marc, editor

Published
2014
Full Text
View/download PDF

30. Modelling Vascularity in Breast Cancer and Surrounding Stroma Using Diffusion MRI and Intravoxel Incoherent Motion

Author

Bailey, Colleen, Vinnicombe, Sarah, Panagiotaki, Eleftheria, Waugh, Shelley A., Hipwell, John H., Alexander, Daniel C., Kitching, Kathryn, Whelehan, Patsy, Pinder, Sarah E., Evans, Andrew, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Fujita, Hiroshi, editor, Hara, Takeshi, editor, and Muramatsu, Chisako, editor

Published
2014
Full Text
View/download PDF

31. Fast Semi-dense Surface Reconstruction from Stereoscopic Video in Laparoscopic Surgery

Author

Totz, Johannes, Thompson, Stephen, Stoyanov, Danail, Gurusamy, Kurinchi, Davidson, Brian R., Hawkes, David J., Clarkson, Matthew J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Stoyanov, Danail, editor, Collins, D. Louis, editor, Sakuma, Ichiro, editor, Abolmaesumi, Purang, editor, and Jannin, Pierre, editor

Published
2014
Full Text
View/download PDF

32. Building Surrogate-Driven Motion Models from Cone-Beam CT via Surrogate-Correlated Optical Flow

Author

Martin, James, McClelland, Jamie, Champion, Benjamin, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Stoyanov, Danail, editor, Collins, D. Louis, editor, Sakuma, Ichiro, editor, Abolmaesumi, Purang, editor, and Jannin, Pierre, editor

Published
2014
Full Text
View/download PDF

33. 2D-3D Pose Tracking of Rigid Instruments in Minimally Invasive Surgery

Author

Allan, Max, Thompson, Steve, Clarkson, Matthew J., Ourselin, Sébastien, Hawkes, David J., Kelly, John, Stoyanov, Danail, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Kobsa, Alfred, editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Weikum, Gerhard, editor, Stoyanov, Danail, editor, Collins, D. Louis, editor, Sakuma, Ichiro, editor, Abolmaesumi, Purang, editor, and Jannin, Pierre, editor

Published
2014
Full Text
View/download PDF

34. Registration of Temporally Separated CT Colonography Cases

Author

Roth, Holger R., Helbren, Emma, Hampshire, Thomas E., Pickhardt, Perry J., Halligan, Steve, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yoshida, Hiroyuki, editor, Warfield, Simon, editor, and Vannier, Michael W., editor

Published
2013
Full Text
View/download PDF

35. Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension

Author

Roth, Holger R., McClelland, Jamie R., Hampshire, Thomas E., Boone, Darren J., Hu, Yipeng, Modat, Marc, Zhang, Hui, Ourselin, Sebastien, Halligan, Steve, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yoshida, Hiroyuki, editor, Warfield, Simon, editor, and Vannier, Michael W., editor

Published
2013
Full Text
View/download PDF

36. External Clinical Validation of Prone and Supine CT Colonography Registration

Author

Roth, Holger R., Boone, Darren J., Halligan, Steve, Hampshire, Thomas E., McClelland, Jamie R., Hu, Mingxing, Punwani, Shonit, Taylor, Stuart, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yoshida, Hiroyuki, editor, Hawkes, David, editor, and Vannier, Michael W., editor

Published
2012
Full Text
View/download PDF

37. Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method

Author

Hampshire, Thomas E., Roth, Holger R., Boone, Darren J., Slabaugh, Greg, Halligan, Steve, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yoshida, Hiroyuki, editor, Hawkes, David, editor, and Vannier, Michael W., editor

Published
2012
Full Text
View/download PDF

38. Characterizing Breast Phenotype with a Novel Measure of Fibroglandular Structure

Author

Hipwell, John H., Griffin, Lewis D., Whelehan, Patsy J., Song, Wenlong, Zhang, Xiying, Lesniak, Jan M., Vinnicombe, Sarah, Evans, Andy, Berg, Jonathan, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Maidment, Andrew D. A., editor, Bakic, Predrag R., editor, and Gavenonis, Sara, editor

Published
2012
Full Text
View/download PDF

39. Intensity-Based MRI to X-ray Mammography Registration with an Integrated Fast Biomechanical Transformation

Author

Mertzanidou, Thomy, Hipwell, John H., Han, Lianghao, Taylor, Zeike, Huisman, Henkjan, Bick, Ulrich, Karssemeijer, Nico, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Maidment, Andrew D. A., editor, Bakic, Predrag R., editor, and Gavenonis, Sara, editor

Published
2012
Full Text
View/download PDF

40. Joint Registration and Limited-Angle Reconstruction of Digital Breast Tomosynthesis

Author

Yang, Guang, Hipwell, John H., Tanner, Christine, Hawkes, David J., Arridge, Simon R., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Maidment, Andrew D. A., editor, Bakic, Predrag R., editor, and Gavenonis, Sara, editor

Published
2012
Full Text
View/download PDF

41. Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography

Author

Roth, Holger R., Hampshire, Thomas E., McClelland, Jamie R., Hu, Mingxing, Boone, Darren J., Slabaugh, Greg G., Halligan, Steve, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Yoshida, Hiroyuki, editor, Sakas, Georgios, editor, and Linguraru, Marius George, editor

Published
2012
Full Text
View/download PDF

42. A System for Biopsy Site Re-targeting with Uncertainty in Gastroenterology and Oropharyngeal Examinations

Author

Allain, Baptiste, Hu, Mingxing, Lovat, Laurence B., Cook, Richard J., Vercauteren, Tom, Ourselin, Sebastien, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Jiang, Tianzi, editor, Navab, Nassir, editor, Pluim, Josien P. W., editor, and Viergever, Max A., editor

Published
2010
Full Text
View/download PDF

43. Spatial Information Encoded Mutual Information for Nonrigid Registration

Author

Zhuang, Xiahai, Hawkes, David J., Ourselin, Sebastien, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fischer, Bernd, editor, Dawant, Benoît M., editor, and Lorenz, Cristian, editor

Published
2010
Full Text
View/download PDF

44. Nonlinear Elastic Spline Registration: Evaluation with Longitudinal Huntington’s Disease Data

Author

Modat, Marc, Taylor, Zeike A., Ridgway, Gerard R., Barnes, Josephine, Wild, Edward J., Hawkes, David J., Fox, Nick C., Ourselin, Sébastien, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Fischer, Bernd, editor, Dawant, Benoît M., editor, and Lorenz, Cristian, editor

Published
2010
Full Text
View/download PDF

45. Breast Shapes on Real and Simulated Mammograms

Author

Tanner, Christine, Hipwell, John H., Hawkes, David J., Székely, Gábor, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
Full Text
View/download PDF

46. Fast Deformation Simulation of Breasts Using GPU-Based Dynamic Explicit Finite Element Method

Author

Han, Lianghao, Hipwell, John, Taylor, Zeike, Tanner, Christine, Ourselin, Sebastien, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
Full Text
View/download PDF

47. Combined Reconstruction and Registration of Digital Breast Tomosynthesis

Author

Yang, Guang, Hipwell, John H., Clarkson, Matthew J., Tanner, Christine, Mertzanidou, Thomy, Gunn, Spencer, Ourselin, Sebastien, Hawkes, David J., Arridge, Simon R., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
Full Text
View/download PDF

48. The Effect of Motion Correction on Pharmacokinetic Parameter Estimation

Author

Melbourne, Andrew, Hipwell, John H., Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
Full Text
View/download PDF

49. X-ray Mammography – MRI Registration Using a Volume-Preserving Affine Transformation and an EM-MRF for Breast Tissue Classification

Author

Mertzanidou, Thomy, Hipwell, John H., Cardoso, M. Jorge, Tanner, Christine, Ourselin, Sebastien, Hawkes, David J., Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Martí, Joan, editor, Oliver, Arnau, editor, Freixenet, Jordi, editor, and Martí, Robert, editor

Published
2010
Full Text
View/download PDF

50. A Demons Algorithm for Image Registration with Locally Adaptive Regularization

Author

Cahill, Nathan D., Noble, J. Alison, Hawkes, David J., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Sudan, Madhu, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Vardi, Moshe Y., Series editor, Weikum, Gerhard, Series editor, Yang, Guang-Zhong, editor, Hawkes, David, editor, Rueckert, Daniel, editor, Noble, Alison, editor, and Taylor, Chris, editor

Published
2009
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results