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1. Associations Between Muscle Weakness and Clinical Outcomes in Current and Former Smokers.

Author

Zou, Richard H, Nouraie, S Mehdi, Rossiter, Harry B, McDonald, Merry-Lynn, DeMeo, Dawn L, Mason, Stefanie, Washko, George R, Saha, Punam K, Make, Barry J, Casaburi, Richard, Regan, Elizabeth A, and Bon, Jessica

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Health Sciences, Chronic Obstructive Pulmonary Disease, Lung, Respiratory, Good Health and Well Being, chronic obstructive pulmonary disease, cigarette smoking, COPDGene, COPD outcomes, musculoskeletal comorbidities, COPDGene Investigators
Abstract

IntroductionSmokers with chronic obstructive pulmonary disease (COPD) are at increased risk of muscle weakness. There are limited data describing weakness in smokers with normal spirometry and preserved ratio-impaired spirometry (PRISm), 2 subgroups at risk of respiratory symptom burden and activity limitations. In this study, we evaluated the associations of 2 weakness measures, sit-to-stand (STS) and handgrip strength (HGS), with clinical outcomes in smokers with COPD, normal spirometry, and PRISm.MethodsWe evaluated 1972 current and former smokers from the COPD Genetic Epidemiology (COPDGene®) cohort with STS and HGS measurements at their 10-year study visit. Multivariable regression modeling was used to assess associations between weakness measures and the 6-minute walk distance (6MWD) test, the St George's Respiratory Questionnaire (SGRQ), the Short-Form-36 (SF-36), severe exacerbations, and prospective mortality, reported as standardized coefficients (β), odds ratios (ORs), or hazard ratios (HRs).ResultsCompared with HGS, STS was more strongly associated with the 6MWD (β=0.45, p

Published
2023

3. Skeletonization and Its Application to Quantitative Structural Imaging

Author

Saha, Punam K., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Basu, Subhadip, editor, Kole, Dipak Kumar, editor, Maji, Arnab Kumar, editor, Plewczynski, Dariusz, editor, and Bhattacharjee, Debotosh, editor

Published
2023
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4. CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)

Author

You, Chenyu, Li, Guang, Zhang, Yi, Zhang, Xiaoliu, Shan, Hongming, Ju, Shenghong, Zhao, Zhen, Zhang, Zhuiyang, Cong, Wenxiang, Vannier, Michael W., Saha, Punam K., and Wang, Ge

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

Computed tomography (CT) is widely used in screening, diagnosis, and image-guided therapy for both clinical and research purposes. Since CT involves ionizing radiation, an overarching thrust of related technical research is development of novel methods enabling ultrahigh quality imaging with fine structural details while reducing the X-ray radiation. In this paper, we present a semi-supervised deep learning approach to accurately recover high-resolution (HR) CT images from low-resolution (LR) counterparts. Specifically, with the generative adversarial network (GAN) as the building block, we enforce the cycle-consistency in terms of the Wasserstein distance to establish a nonlinear end-to-end mapping from noisy LR input images to denoised and deblurred HR outputs. We also include the joint constraints in the loss function to facilitate structural preservation. In this deep imaging process, we incorporate deep convolutional neural network (CNN), residual learning, and network in network techniques for feature extraction and restoration. In contrast to the current trend of increasing network depth and complexity to boost the CT imaging performance, which limit its real-world applications by imposing considerable computational and memory overheads, we apply a parallel $1\times1$ CNN to compress the output of the hidden layer and optimize the number of layers and the number of filters for each convolutional layer. Quantitative and qualitative evaluations demonstrate that our proposed model is accurate, efficient and robust for super-resolution (SR) image restoration from noisy LR input images. In particular, we validate our composite SR networks on three large-scale CT datasets, and obtain promising results as compared to the other state-of-the-art methods.

Published
2018
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5. Associations between longitudinal fluoride intakes from birth to age 23 and multi‐row detector computed tomography bone densitometry outcomes at age 23.

Author

Bhatia, Gurjot Kaur, Levy, Steven M., Warren, John J., Rysavy, Oscar A., Saha, Punam K., Zhang, Xiaoliu, and Zeng, Erliang

Subjects
CAVITY prevention, BONE health, BONE densitometry, YOUNG adults, BONE growth
Abstract

Objectives: To assess the relationships between longitudinal fluoride intakes and bone densitometry outcomes in young adults. Methods: Data were analyzed from the Iowa Fluoride Study and Iowa Bone Development Study, which followed 1,882 infants from birth in 1992. Daily fluoride intakes were assessed using detailed questionnaires sent every 1.5–6 months, and multi‐row detector computed tomography (MDCT) scans of distal tibia were obtained from 330 participants aged 23 years. Sex‐specific bivariate and multivariable associations with MDCT outcomes were examined using linear regression. Because of the multiple statistical analyses being conducted, p‐values < 0.01 were considered statistically significant. Results: In fully adjusted analyses, no statistically significant (p < 0.01) or suggestive (0.01 < p < 0.05) associations were found between period‐specific or cumulative fluoride intake and bone measures for either sex, although there were suggestive positive relationships in unadjusted analyses. Conclusions: Longitudinal fluoride intakes had little association with bone measures at age 23. As there were no adverse effects from fluoride intake on bone health in young adults, results support the continued use of fluorides, particularly community water fluoridation is the most cost‐effective method of dental caries prevention. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Ultra‐low dose hip CT‐based automated measurement of volumetric bone mineral density at proximal femoral subregions.

Author

Zhang, Xiaoliu, Nadeem, Syed Ahmed, DiCamillo, Paul A., Shibli‐Rahhal, Amal, Regan, Elizabeth A., Barr, R. Graham, Hoffman, Eric A., Comellas, Alejandro P., and Saha, Punam K.

Subjects
BONE density, COMPUTED tomography, FEMUR head, FEMUR neck, INTRACLASS correlation, FEMUR
Abstract

Background: Forty to fifty percent of women and 13%–22% of men experience an osteoporosis‐related fragility fracture in their lifetimes. After the age of 50 years, the risk of hip fracture doubles in every 10 years. x‐Ray based DXA is currently clinically used to diagnose osteoporosis and predict fracture risk. However, it provides only 2‐D representation of bone and is associated with other technical limitations. Thus, alternative methods are needed. Purpose: To develop and evaluate an ultra‐low dose (ULD) hip CT‐based automated method for assessment of volumetric bone mineral density (vBMD) at proximal femoral subregions. Methods: An automated method was developed to segment the proximal femur in ULD hip CT images and delineate femoral subregions. The computational pipeline consists of deep learning (DL)‐based computation of femur likelihood map followed by shape model‐based femur segmentation and finite element analysis‐based warping of a reference subregion labeling onto individual femur shapes. Finally, vBMD is computed over each subregion in the target image using a calibration phantom scan. A total of 100 participants (50 females) were recruited from the Genetic Epidemiology of COPD (COPDGene) study, and ULD hip CT imaging, equivalent to 18 days of background radiation received by U.S. residents, was performed on each participant. Additional hip CT imaging using a clinical protocol was performed on 12 participants and repeat ULD hip CT was acquired on another five participants. ULD CT images from 80 participants were used to train the DL network; ULD CT images of the remaining 20 participants as well as clinical and repeat ULD CT images were used to evaluate the accuracy, generalizability, and reproducibility of segmentation of femoral subregions. Finally, clinical CT and repeat ULD CT images were used to evaluate accuracy and reproducibility of ULD CT‐based automated measurements of femoral vBMD. Results: Dice scores of accuracy (n = 20), reproducibility (n = 5), and generalizability (n = 12) of ULD CT‐based automated subregion segmentation were 0.990, 0.982, and 0.977, respectively, for the femoral head and 0.941, 0.970, and 0.960, respectively, for the femoral neck. ULD CT‐based regional vBMD showed Pearson and concordance correlation coefficients of 0.994 and 0.977, respectively, and a root‐mean‐square coefficient of variation (RMSCV) (%) of 1.39% with the clinical CT‐derived reference measure. After 3‐digit approximation, each of Pearson and concordance correlation coefficients as well as intraclass correlation coefficient (ICC) between baseline and repeat scans were 0.996 with RMSCV of 0.72%. Results of ULD CT‐based bone analysis on 100 participants (age (mean ± SD) 73.6 ± 6.6 years) show that males have significantly greater (p < 0.01) vBMD at the femoral head and trochanteric regions than females, while females have moderately greater vBMD (p = 0.05) at the medial half of the femoral neck than males. Conclusion: Deep learning, combined with shape model and finite element analysis, offers an accurate, reproducible, and generalizable algorithm for automated segmentation of the proximal femur and anatomic femoral subregions using ULD hip CT images. ULD CT‐based regional measures of femoral vBMD are accurate and reproducible and demonstrate regional differences between males and females. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Improved Multi-scale Opening Algorithm Using Fuzzy Distance Transform Based Geodesic Path Propagation

Author

Das, Nirmal, Guha, Indranil, Saha, Punam K., Basu, Subhadip, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhattacharjee, Debotosh, editor, Kole, Dipak Kumar, editor, Dey, Nilanjan, editor, Basu, Subhadip, editor, and Plewczynski, Dariusz, editor

Published
2021
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11. Vessel and Airway Characteristics in One-Year CT-defined Rapid Emphysema Progression: SPIROMICS

Author

Gerard, Sarah E, primary, Dougherty, Timothy M., additional, Nagpal, Prashant, additional, Jin, Dakai, additional, Han, MeiLan K., additional, Newell Jr., John D, additional, Saha, Punam K, additional, Comellas, Alejandro P., additional, Cooper, Christopher B., additional, Couper, David, additional, Fortis, Spyridon, additional, Guo, Junfeng, additional, Hansel, Nadia N, additional, Kanner, Richard E, additional, Kazeroni, Ella A, additional, Martinez, Fernando J., additional, Motahari, Amin, additional, Paine III, Robert, additional, Rennard, Stephen, additional, Schroeder, Joyce D., additional, Woodruff, Prescott G., additional, Barr, R Graham, additional, Smith, Benjamin M, additional, and Hoffman, Eric A., additional

Published
2024
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13. Vessel and Airway Characteristics in One-Year Computed Tomography–defined Rapid Emphysema Progression: SPIROMICS.

Author

Gerard, Sarah E., Dougherty, Timothy M., Nagpal, Prashant, Jin, Dakai, Han, MeiLan K., Newell Jr., John D., Saha, Punam K., Comellas, Alejandro P., Cooper, Christopher B., Couper, David, Fortis, Spyridon, Guo, Junfeng, Hansel, Nadia N., Kanner, Richard E., Kazeroni, Ella A., Martinez, Fernando J., Motahari, Amin, Paine III, Robert, Rennard, Stephen, and Schroeder, Joyce D.

Subjects
LUNGS, PULMONARY circulation, LUNG volume, CHRONIC obstructive pulmonary disease, OBSTRUCTIVE lung diseases, FORCED expiratory volume, VASCULAR resistance
Abstract

Rationale: Rates of emphysema progression vary in chronic obstructive pulmonary disease (COPD), and the relationships with vascular and airway pathophysiology remain unclear. Objectives: We sought to determine if indices of peripheral (segmental and beyond) pulmonary arterial dilation measured on computed tomography (CT) are associated with a 1-year index of emphysema (EI; percentage of voxels <−950 Hounsfield units) progression. Methods: Five hundred ninety-nine former and never-smokers (Global Initiative for Chronic Obstructive Lung Disease stages 0–3) were evaluated from the SPIROMICS (Subpopulations and Intermediate Outcome Measures in COPD Study) cohort: rapid emphysema progressors (RPs; n = 188, 1-year ΔEI > 1%), nonprogressors (n = 301, 1-year ΔEI ± 0.5%), and never-smokers (n = 110). Segmental pulmonary arterial cross-sectional areas were standardized to associated airway luminal areas (segmental pulmonary artery–to–airway ratio [PAARseg]). Full-inspiratory CT scan–derived total (arteries and veins) pulmonary vascular volume (TPVV) was compared with small vessel volume (radius smaller than 0.75 mm). Ratios of airway to lung volume (an index of dysanapsis and COPD risk) were compared with ratios of TPVV to lung volume. Results: Compared with nonprogressors, RPs exhibited significantly larger PAARseg (0.73 ± 0.29 vs. 0.67 ± 0.23; P = 0.001), lower ratios of TPVV to lung volume (3.21 ± 0.42% vs. 3.48 ± 0.38%; P = 5.0 × 10−12), lower ratios of airway to lung volume (0.031 ± 0.003 vs. 0.034 ± 0.004; P = 6.1 × 10−13), and larger ratios of small vessel volume to TPVV (37.91 ± 4.26% vs. 35.53 ± 4.89%; P = 1.9 × 10−7). In adjusted analyses, an increment of 1 standard deviation in PAARseg was associated with a 98.4% higher rate of severe exacerbations (95% confidence interval, 29–206%; P = 0.002) and 79.3% higher odds of being in the RP group (95% confidence interval, 24–157%; P = 0.001). At 2-year follow-up, the CT-defined RP group demonstrated a significant decline in postbronchodilator percentage predicted forced expiratory volume in 1 second. Conclusions: Rapid one-year progression of emphysema was associated with indices indicative of higher peripheral pulmonary vascular resistance and a possible role played by pulmonary vascular–airway dysanapsis. [ABSTRACT FROM AUTHOR]

Published
2024
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15. Design of Cerebrovascular Phantoms Using Fuzzy Distance Transform-based Geodesic Paths

Author

Guha, Indranil, Das, Nirmal, Rakshit, Pranati, Nasipuri, Mita, Saha, Punam K., Basu, Subhadip, Kacprzyk, Janusz, Series editor, Pal, Nikhil R., Advisory editor, Bello Perez, Rafael, Advisory editor, Corchado, Emilio S., Advisory editor, Hagras, Hani, Advisory editor, Kóczy, László T., Series editor, Kreinovich, Vladik, Advisory editor, Lin, Chin-Teng, Advisory editor, Lu, Jie, Advisory editor, Melin, Patricia, Advisory editor, Nedjah, Nadia, Advisory editor, Nguyen, Ngoc Thanh, Advisory editor, Wang, Jun, Advisory editor, Sa, Pankaj Kumar, editor, Sahoo, Manmath Narayan, editor, Murugappan, M., editor, Wu, Yulei, editor, and Majhi, Banshidhar, editor

Published
2018
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16. Path-Gradient – A Theory of Computing Full Intensity-Transition Between Two Points

Author

Nadeem, Syed Ahmed, Hoffman, Eric A., Saha, Punam K., 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, Mendoza, Marcelo, editor, and Velastín, Sergio, editor

Published
2018
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17. A New Algorithm for Local Blur-Scale Computation and Edge Detection

Author

Guha, Indranil, Saha, Punam K., 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, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Turek, Matt, editor, Ramalingam, Srikumar, editor, Xu, Kai, editor, Lin, Stephen, editor, Alsallakh, Bilal, editor, Yang, Jing, editor, Cuervo, Eduardo, editor, and Ventura, Jonathan, editor

Published
2018
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18. Shape-Based Smoothing of Binary Digital Objects Using Signed Distance Transform

Author

Zhang, Xiaoliu, Chen, Cheng, Chang, Gregory, Saha, Punam K., 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, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Turek, Matt, editor, Ramalingam, Srikumar, editor, Xu, Kai, editor, Lin, Stephen, editor, Alsallakh, Bilal, editor, Yang, Jing, editor, Cuervo, Eduardo, editor, and Ventura, Jonathan, editor

Published
2018
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19. The Minimum Barrier Distance: A Summary of Recent Advances

Author

Strand, Robin, Ciesielski, Krzysztof Chris, Malmberg, Filip, Saha, Punam K., 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, Kropatsch, Walter G., editor, Artner, Nicole M., editor, and Janusch, Ines, editor

Published
2017
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20. Segmentation of Trabecular Bone for In Vivo CT Imaging Using a Novel Approach of Computing Spatial Variation in Bone and Marrow Intensities

Author

Chen, Cheng, Jin, Dakai, Zhang, Xiaoliu, Levy, Steven M., Saha, Punam K., 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, Chen, Chu-Song, editor, Lu, Jiwen, editor, and Ma, Kai-Kuang, editor

Published
2017
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21. A Novel Iterative Method for Airway Tree Segmentation from CT Imaging Using Multiscale Leakage Detection

Author

Nadeem, Syed Ahmed, Jin, Dakai, Hoffman, Eric A., Saha, Punam K., 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, Chen, Chu-Song, editor, Lu, Jiwen, editor, and Ma, Kai-Kuang, editor

Published
2017
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22. Fuzzy Skeletonization Improves the Performance of Characterizing Trabecular Bone Micro-architecture

Author

Chen, Cheng, Jin, Dakai, Saha, Punam K., 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, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Pavlidis, Ioannis, editor, Feris, Rogerio, editor, McGraw, Tim, editor, Elendt, Mark, editor, Kopper, Regis, editor, Ragan, Eric, editor, Ye, Zhao, editor, and Weber, Gunther, editor

Published
2015
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23. Multi-scale Opening – A New Morphological Operator

Author

Basu, Subhadip, Hoffman, Eric, Saha, Punam K., 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, Murino, Vittorio, editor, and Puppo, Enrico, editor

Published
2015
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24. Filtering Non-Significant Quench Points Using Collision Impact in Grassfire Propagation

Author

Jin, Dakai, Chen, Cheng, Saha, Punam K., 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, Murino, Vittorio, editor, and Puppo, Enrico, editor

Published
2015
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25. A survey on artificial intelligence in pulmonary imaging.

Author

Saha, Punam K., Nadeem, Syed Ahmed, and Comellas, Alejandro P.

Subjects
*ARTIFICIAL intelligence, *IMAGE recognition (Computer vision), *CHRONIC obstructive pulmonary disease, *LUNG diseases, *ETIOLOGY of diseases, *INHALERS, *IMAGE registration
Abstract

Over the last decade, deep learning (DL) has contributed to a paradigm shift in computer vision and image recognition creating widespread opportunities of using artificial intelligence in research as well as industrial applications. DL has been extensively studied in medical imaging applications, including those related to pulmonary diseases. Chronic obstructive pulmonary disease, asthma, lung cancer, pneumonia, and, more recently, COVID‐19 are common lung diseases affecting nearly 7.4% of world population. Pulmonary imaging has been widely investigated toward improving our understanding of disease etiologies and early diagnosis and assessment of disease progression and clinical outcomes. DL has been broadly applied to solve various pulmonary image processing challenges including classification, recognition, registration, and segmentation. This article presents a survey of pulmonary diseases, roles of imaging in translational and clinical pulmonary research, and applications of different DL architectures and methods in pulmonary imaging with emphasis on DL‐based segmentation of major pulmonary anatomies such as lung volumes, lung lobes, pulmonary vessels, and airways as well as thoracic musculoskeletal anatomies related to pulmonary diseases. This article is categorized under:Application Areas > Health CareTechnologies > Artificial IntelligenceTechnologies > Computational IntelligenceApplication Areas > Science and Technology [ABSTRACT FROM AUTHOR]

Published
2023
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30. Volumetric Topological Analysis on In Vivo Trabecular Bone Magnetic Resonance Imaging

Author

Chen, Cheng, Jin, Dakai, Liu, Yinxiao, Wehrli, Felix W., Chang, Gregory, Snyder, Peter J., Regatte, Ravinder R., Saha, Punam K., 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, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, McMahan, Ryan, editor, Jerald, Jason, editor, Zhang, Hui, editor, Drucker, Steven M., editor, Kambhamettu, Chandra, editor, El Choubassi, Maha, editor, Deng, Zhigang, editor, and Carlson, Mark, editor

Published
2014
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31. Automated Assessment of Pulmonary Arterial Morphology in Multi-row Detector CT Imaging Using Correspondence with Anatomic Airway Branches

Author

Jin, Dakai, Iyer, Krishna S., Hoffman, Eric A., Saha, Punam K., 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, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, McMahan, Ryan, editor, Jerald, Jason, editor, Zhang, Hui, editor, Drucker, Steven M., editor, Kambhamettu, Chandra, editor, El Choubassi, Maha, editor, Deng, Zhigang, editor, and Carlson, Mark, editor

Published
2014
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32. The Minimum Barrier Distance – Stability to Seed Point Position

Author

Strand, Robin, Malmberg, Filip, Saha, Punam K., Linnér, Elisabeth, 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, Barcucci, Elena, editor, Frosini, Andrea, editor, and Rinaldi, Simone, editor

Published
2014
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33. Fuzzy Digital Topology and Geometry and Their Applications to Medical Imaging

Author

Saha, Punam K., 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, Maji, Pradipta, editor, Ghosh, Ashish, editor, Murty, M. Narasimha, editor, Ghosh, Kuntal, editor, and Pal, Sankar K., editor

Published
2013
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34. A New Algorithm for Cortical Bone Segmentation with Its Validation and Applications to In Vivo Imaging

Author

Li, Cheng, Jin, Dakai, Burns, Trudy L., Torner, James C., Levy, Steven M., Saha, Punam K., 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, and Petrosino, Alfredo, editor

Published
2013
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35. A New Fuzzy Skeletonization Algorithm and Its Applications to Medical Imaging

Author

Jin, Dakai, Saha, Punam K., 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, and Petrosino, Alfredo, editor

Published
2013
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36. Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging

Author

Liu, Yinxiao, Saha, Punam K., Xu, Ziyue, 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, Ayache, Nicholas, editor, Delingette, Hervé, editor, Golland, Polina, editor, and Mori, Kensaku, editor

Published
2012
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38. Multi-scale Topo-morphometric Opening of Arteries and Veins: An Evaluative Study via Pulmonary CT Imaging

Author

Gao, Zhiyun, Holtze, Colin, Grout, Randall, Sonka, Milan, Hoffman, Eric, Saha, Punam K., 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, Bebis, George, editor, Boyle, Richard, editor, Parvin, Bahram, editor, Koracin, Darko, editor, Chung, Ronald, editor, Hammound, Riad, editor, Hussain, Muhammad, editor, Kar-Han, Tan, editor, Crawfis, Roger, editor, Thalmann, Daniel, editor, Kao, David, editor, and Avila, Lisa, editor

Published
2010
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39. Graph Search with Appearance and Shape Information for 3-D Prostate and Bladder Segmentation

Author

Song, Qi, Liu, Yinxiao, Liu, Yunlong, Saha, Punam K., Sonka, Milan, Wu, Xiaodong, Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Jiang, Tianzi, editor, Navab, Nassir, editor, Pluim, Josien P. W., editor, and Viergever, Max A., editor

Published
2010
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