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34 results on '"Zhou, S. Kevin"'

1. Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation

Author

Zhao, Ziyuan, Zhou, Fangcheng, Zeng, Zeng, Guan, Cuntai, Zhou, S. Kevin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wang, Linwei, editor, Dou, Qi, editor, Fletcher, P. Thomas, editor, Speidel, Stefanie, editor, and Li, Shuo, editor

Published
2022
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2. 3D U-Net: A 3D Universal U-Net for Multi-domain Medical Image Segmentation

Author

Huang, Chao, Han, Hu, Yao, Qingsong, Zhu, Shankuan, Zhou, S. Kevin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Shen, Dinggang, editor, Liu, Tianming, editor, Peters, Terry M., editor, Staib, Lawrence H., editor, Essert, Caroline, editor, Zhou, Sean, editor, Yap, Pew-Thian, editor, and Khan, Ali, editor

Published
2019
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3. MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net

Author

Thomson, Bart R., Smit, Jasper N., Ivashchenko, Oleksandra V., Kok, Niels F.M., Kuhlmann, Koert F.D., Ruers, Theo J.M., Fusaglia, Matteo, Martel, Anne L., Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, Racoceanu, Daniel, Joskowicz, Leo, Nanobiophysics, and Technical Medicine

Subjects
Liver surgery, business.industry, 0206 medical engineering, Ultrasound, Portal vein, 22/2 OA procedure, Vessel segmentation, 02 engineering and technology, Non-rigid registration, Computer assisted intervention, 020601 biomedical engineering, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, Speckle pattern, 0302 clinical medicine, medicine.anatomical_structure, medicine, Hepatic vasculature, Segmentation, Vein, Nuclear medicine, business
Abstract

Accurate hepatic vessel segmentation and registration using ultrasound (US) can contribute to beneficial navigation during hepatic surgery. However, it is challenging due to noise and speckle in US imaging and liver deformation. Therefore, a workflow is developed using a reduced 3D U-Net for segmentation, followed by non-rigid coherent point drift (CPD) registration. By means of electromagnetically tracked US, 61 3D volumes were acquired during surgery. Dice scores of 0.77, 0.65 and 0.66 were achieved for segmentation of all vasculature, hepatic vein and portal vein respectively. This compares to inter-observer variabilities of 0.85, 0.88 and 0.74 respectively. Target registration error at a tumor lesion of interest was lower (7.1 mm) when registration is performed either on the hepatic or the portal vein, compared to using all vasculature (8.9 mm). Using clinical data, we developed a workflow consisting of multi-class segmentation combined with selective non-rigid registration that leads to sufficient accuracy for integration in computer assisted liver surgery.

Published
2020

4. Region-of-interest guided supervoxel inpainting for self-supervision

Author

Kayal, Subhradeep, Chen, Shuai, de Bruijne, Marleen, Martel, Anne L., Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, Racoceanu, Daniel, Joskowicz, Leo, and Radiology & Nuclear Medicine

Subjects
Self supervision, Computer science, Region of interest, business.industry, Deep learning, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Inpainting, Segmentation, Pattern recognition, Artificial intelligence, business
Abstract

Self-supervised learning has proven to be invaluable in making best use of all of the available data in biomedical image segmentation. One particularly simple and effective mechanism to achieve self-supervision is inpainting, the task of predicting arbitrary missing areas based on the rest of an image. In this work, we focus on image inpainting as the self-supervised proxy task, and propose two novel structural changes to further enhance the performance. Our method can be regarded as an efficient addition to self-supervision, where we guide the process of generating images to inpaint by using supervoxel-based masking instead of random masking, and also by focusing on the area to be segmented in the primary task, which we term as the region-of-interest. We postulate that these additions force the network to learn semantics that are more attuned to the primary task, and test our hypotheses on two applications: brain tumour and white matter hyperintensities segmentation. We empirically show that our proposed approach consistently outperforms both supervised CNNs, without any self-supervision, and conventional inpainting-based self-supervision methods on both large and small training set sizes.

Published
2020

5. Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet

Author

Yang, Hongxu, Shan, Caifeng, Kolen, Alexander F., de With, Peter H.N., Martel, Anne L., Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, Racoceanu, Daniel, Joskowicz, Leo, Video Coding & Architectures, Center for Care & Cure Technology Eindhoven, Eindhoven MedTech Innovation Center, and EAISI Health

Subjects
Scheme (programming language), Dual-UNet, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Q-learning, 02 engineering and technology, Semi-supervised learning, Catheter segmentation, Convolutional neural network, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, medicine, Leverage (statistics), Segmentation, 3D ultrasound, computer.programming_language, Deep reinforcement learning, medicine.diagnostic_test, business.industry, Supervised learning, Pattern recognition, Hybrid constraint, 020201 artificial intelligence & image processing, Artificial intelligence, business, computer
Abstract

Catheter segmentation in 3D ultrasound is important for computer-assisted cardiac intervention. However, a large amount of labeled images are required to train a successful deep convolutional neural network (CNN) to segment the catheter, which is expensive and time-consuming. In this paper, we propose a novel catheter segmentation approach, which requests fewer annotations than the supervised learning method, but nevertheless achieves better performance. Our scheme considers a deep Q learning as the pre-localization step, which avoids voxel-level annotation and which can efficiently localize the target catheter. With the detected catheter, patch-based Dual-UNet is applied to segment the catheter in 3D volumetric data. To train the Dual-UNet with limited labeled images and leverage information of unlabeled images, we propose a novel semi-supervised scheme, which exploits unlabeled images based on hybrid constraints from predictions. Experiments show the proposed scheme achieves a higher performance than state-of-the-art semi-supervised methods, while it demonstrates that our method is able to learn from large-scale unlabeled images.

Published
2020

6. XCAT-GAN for Synthesizing 3D Consistent Labeled Cardiac MR Images on Anatomically Variable XCAT Phantoms

Author

Amirrajab, Sina, Abbasi-Sureshjani, Samaneh, Khalil, Yasmina Al, Lorenz, Cristian, Weese, Juergen, Pluim, Josien, Breeuwer, Marcel, Martel, Anne L., Abolmaesumi, Purang, Stoyanov, Danail, Mateus, Diana, Zuluaga, Maria A., Zhou, S. Kevin, Racoceanu, Daniel, Joskowicz, Leo, Medical Image Analysis, and EAISI Health

Subjects
Similarity (geometry), Computer science, Population, cs.LG, Cardiac Magnetic Resonance imaging, Imaging phantom, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Cardiac magnetic resonance imaging, medicine, Segmentation, 030212 general & internal medicine, education, cs.CV, Ground truth, education.field_of_study, medicine.diagnostic_test, business.industry, Pattern recognition, Torso, Real image, Hausdorff distance, medicine.anatomical_structure, XCAT anatomical phantom, eess.IV, Conditional image synthesis, Artificial intelligence, business, Cardiac magnetic resonance
Abstract

Generative adversarial networks (GANs) have provided promising data enrichment solutions by synthesizing high-fidelity images. However, generating large sets of labeled images with new anatomical variations remains unexplored. We propose a novel method for synthesizing cardiac magnetic resonance (CMR) images on a population of virtual subjects with a large anatomical variation, introduced using the 4D eXtended Cardiac and Torso (XCAT) computerized human phantom. We investigate two conditional image synthesis approaches grounded on a semantically-consistent mask-guided image generation technique: 4-class and 8-class XCAT-GANs. The 4-class technique relies on only the annotations of the heart; while the 8-class technique employs a predicted multi-tissue label map of the heart-surrounding organs and provides better guidance for our conditional image synthesis. For both techniques, we train our conditional XCAT-GAN with real images paired with corresponding labels and subsequently at the inference time, we substitute the labels with the XCAT derived ones. Therefore, the trained network accurately transfers the tissue-specific textures to the new label maps. By creating 33 virtual subjects of synthetic CMR images at the end-diastolic and end-systolic phases, we evaluate the usefulness of such data in the downstream cardiac cavity segmentation task under different augmentation strategies. Results demonstrate that even with only 20% of real images (40 volumes) seen during training, segmentation performance is retained with the addition of synthetic CMR images. Moreover, the improvement in utilizing synthetic images for augmenting the real data is evident through the reduction of Hausdorff distance up to 28% and an increase in the Dice score up to 5%, indicating a higher similarity to the ground truth in all dimensions.

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7. GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved Segmentation

Author

Alsinan, Ahmed Z., Rule, Charles, Vives, Michael, Patel, Vishal M., Hacihaliloglu, Ilker, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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8. Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural Networks

Author

Masuzawa, Naoto, Kitamura, Yoshiro, Nakamura, Keigo, Iizuka, Satoshi, Simo-Serra, Edgar, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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9. A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D Echocardiography

Author

Ta, Kevinminh, Ahn, Shawn S., Stendahl, John C., Sinusas, Albert J., Duncan, James S., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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10. Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated Datasets

Author

Dudovitch, Gal, Link-Sourani, Daphna, Ben Sira, Liat, Miller, Elka, Ben Bashat, Dafna, Joskowicz, Leo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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11. A Macro-Micro Weakly-Supervised Framework for AS-OCT Tissue Segmentation

Author

Ning, Munan, Bian, Cheng, Lu, Donghuan, Zhou, Hong-Yu, Yu, Shuang, Yuan, Chenglang, Guo, Yang, Wang, Yaohua, Ma, Kai, Zheng, Yefeng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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12. Deep Active Learning for Breast Cancer Segmentation on Immunohistochemistry Images

Author

Shen, Haocheng, Tian, Kuan, Dong, Pei, Zhang, Jun, Yan, Kezhou, Che, Shannon, Yao, Jianhua, Luo, Pifu, Han, Xiao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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13. Segmenting Continuous but Sparsely-Labeled Structures in Super-Resolution Microscopy Using Perceptual Grouping

Author

Li, Jiabing, Artur, Camille, Eriksen, Jason, Roysam, Badrinath, Mayerich, David, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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14. Multi-task Dynamic Transformer Network for Concurrent Bone Segmentation and Large-Scale Landmark Localization with Dental CBCT

Author

Lian, Chunfeng, Wang, Fan, Deng, Hannah H., Wang, Li, Xiao, Deqiang, Kuang, Tianshu, Lin, Hung-Ying, Gateno, Jaime, Shen, Steve G. F., Yap, Pew-Thian, Xia, James J., Shen, Dinggang, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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15. Graph Reasoning and Shape Constraints for Cardiac Segmentation in Congenital Heart Defect

Author

Liu, Tao, Tian, Yun, Zhao, Shifeng, Huang, Xiaoying, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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16. Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI

Author

La Rosa, Francesco, Beck, Erin S., Abdulkadir, Ahmed, Thiran, Jean-Philippe, Reich, Daniel S., Sati, Pascal, Bach Cuadra, Meritxell, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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17. Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image Segmentation

Author

Shirokikh, Boris, Shevtsov, Alexey, Kurmukov, Anvar, Dalechina, Alexandra, Krivov, Egor, Kostjuchenko, Valery, Golanov, Andrey, Belyaev, Mikhail, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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18. Mt-UcGAN: Multi-task Uncertainty-Constrained GAN for Joint Segmentation, Quantification and Uncertainty Estimation of Renal Tumors on CT

Author

Ruan, Yanan, Li, Dengwang, Marshall, Harry, Miao, Timothy, Cossetto, Tyler, Chan, Ian, Daher, Omar, Accorsi, Fabio, Goela, Aashish, Li, Shuo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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19. INSIDE: Steering Spatial Attention with Non-imaging Information in CNNs

Author

Jacenków, Grzegorz, O’Neil, Alison Q., Mohr, Brian, Tsaftaris, Sotirios A., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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20. KiU-Net: Towards Accurate Segmentation of Biomedical Images Using Over-Complete Representations

Author

Valanarasu, Jeya Maria Jose, Sindagi, Vishwanath A., Hacihaliloglu, Ilker, Patel, Vishal M., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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21. CNN-GCN Aggregation Enabled Boundary Regression for Biomedical Image Segmentation

Author

Meng, Yanda, Wei, Meng, Gao, Dongxu, Zhao, Yitian, Yang, Xiaoyun, Huang, Xiaowei, Zheng, Yalin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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22. Widening the Focus: Biomedical Image Segmentation Challenges and the Underestimated Role of Patch Sampling and Inference Strategies

Author

Madesta, Frederic, Schmitz, Rüdiger, Rösch, Thomas, Werner, René, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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23. Calibrated Surrogate Maximization of Dice

Author

Nordström, Marcus, Bao, Han, Löfman, Fredrik, Hult, Henrik, Maki, Atsuto, Sugiyama, Masashi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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24. Robust Medical Image Segmentation from Non-expert Annotations with Tri-network

Author

Zhang, Tianwei, Yu, Lequan, Hu, Na, Lv, Su, Gu, Shi, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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25. Contrastive Rendering for Ultrasound Image Segmentation

Author

Li, Haoming, Yang, Xin, Liang, Jiamin, Shi, Wenlong, Chen, Chaoyu, Dou, Haoran, Li, Rui, Gao, Rui, Zhou, Guangquan, Fang, Jinghui, Liang, Xiaowen, Huang, Ruobing, Frangi, Alejandro, Chen, Zhiyi, Ni, Dong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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26. Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation

Author

Chen, Jingkun, Li, Wenqi, Li, Hongwei, Zhang, Jianguo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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27. TexNet: Texture Loss Based Network for Gastric Antrum Segmentation in Ultrasound

Author

Dong, Guohao, Zou, Yaoxian, Jiao, Jiaming, Liu, Yuxi, Liu, Shuo, Liang, Tianzhu, Liu, Chaoyue, Chen, Zhijie, Zhu, Lei, Ni, Dong, Lin, Muqing, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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28. Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning

Author

Pérez-García, Fernando, Rodionov, Roman, Alim-Marvasti, Ali, Sparks, Rachel, Duncan, John S., Ourselin, Sébastien, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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29. AGAN: An Anatomy Corrector Conditional Generative Adversarial Network

Author

Engin, Melih, Lange, Robin, Nemes, Andras, Monajemi, Sadaf, Mohammadzadeh, Milad, Goh, Chin Kong, Tu, Tian Ming, Tan, Benjamin Y. Q., Paliwal, Prakash, Yeo, Leonard L. L., Sharma, Vijay K., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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30. Temporal-Consistent Segmentation of Echocardiography with Co-learning from Appearance and Shape

Author

Wei, Hongrong, Cao, Heng, Cao, Yiqin, Zhou, Yongjin, Xue, Wufeng, Ni, Dong, Li, Shuo, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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31. Entropy Guided Unsupervised Domain Adaptation for Cross-Center Hip Cartilage Segmentation from MRI

Author

Zeng, Guodong, Schmaranzer, Florian, Lerch, Till D., Boschung, Adam, Zheng, Guoyan, Burger, Jürgen, Gerber, Kate, Tannast, Moritz, Siebenrock, Klaus, Kim, Young-Jo, Novais, Eduardo N., Gerber, Nicolas, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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32. Harnessing Uncertainty in Domain Adaptation for MRI Prostate Lesion Segmentation

Author

Chiou, Eleni, Giganti, Francesco, Punwani, Shonit, Kokkinos, Iasonas, Panagiotaki, Eleftheria, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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33. Self Domain Adapted Network

Author

He, Yufan, Carass, Aaron, Zuo, Lianrui, Dewey, Blake E., Prince, Jerry L., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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34. High-Order Attention Networks for Medical Image Segmentation

Author

Ding, Fei, Yang, Gang, Wu, Jun, Ding, Dayong, Xv, Jie, Cheng, Gangwei, Li, Xirong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Martel, Anne L., editor, Abolmaesumi, Purang, editor, Stoyanov, Danail, editor, Mateus, Diana, editor, Zuluaga, Maria A., editor, Zhou, S. Kevin, editor, Racoceanu, Daniel, editor, and Joskowicz, Leo, editor

Published
2020
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