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ORCID17th ISBI 2020: Iowa City, IA, USA
- 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020, Iowa City, IA, USA, April 3-7, 2020. IEEE 2020, ISBN 978-1-5386-9330-8
- Mohammad Farazi, Liang Zhan, Natasha Leporé, Paul M. Thompson
, Yalin Wang:
A Univariate Persistent Brain Network Feature Based on the Aggregated Cost of Cycles from the Nested Filtration Networks. 1-5 - Chaoyu Chen, Xin Yang, Ruobing Huang, Wenlong Shi, Shengfeng Liu, Mingrong Lin, Yuhao Huang, Yong Yang, Yuanji Zhang, Huanjia Luo, Yankai Huang, Yi Xiong, Dong Ni:
Region Proposal Network with Graph Prior and Iou-Balance Loss for Landmark Detection in 3D Ultrasound. 1-5 - Xin Zhang, Xinyao Ding, Zhengwang Wu, Jing Xia, Hao Ni, Xiangmin Xu, Lufan Liao, Li Wang, Gang Li:
Siamese Verification Framework for Autism Identification During Infancy Using Cortical Path Signature Features. 1-4 - Sheng He, Randy L. Gollub, Shawn N. Murphy, Juan David Perez, Sanjay Prabhu, Rudolph Pienaar, Richard L. Robertson, Patricia Ellen Grant, Yangming Ou:
Brain Age Estimation Using LSTM on Children's Brain MRI. 1-4 - Makena Low, Victor Huang, Priyanka Raina:
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks. 1-4 - Julip Jung, Helen Hong, Hansang Lee, Sung Il Hwang, Hak Jong Lee:
Uni- and Multi-Modal Radiomic Features for the Predicting Prostate Cancer Aggressiveness. 1-4 - Ziyi Huang, Yu Gan, Theresa Lye, Darnel Theagene, Spandana Chintapalli, Simeran Virdi, Andrew Laine, Elsa D. Angelini, Christine P. Hendon:
Segmentation and Uncertainty Measures of Cardiac Substrates within Optical Coherence Tomography Images via Convolutional Neural Networks. 1-4 - Ben A. Duffy, Arthur W. Toga, Hosung Kim:
Gradient Artifact Correction for Simultaneous EEG- fMRI using Denoising Autoencoders. 1-4 - Yongtao Zhang, Baiying Lei, Chao Fu, Jie Du, Xinjian Zhu, Xiaowei Han, Lei Du, Wenwen Gao, Tianfu Wang, Guolin Ma:
HBNet: Hybrid Blocks Network for Segmentation of Gastric Tumor from Ordinary CT Images. 1-4 - Yu Guo, Pierre Decazes, Stéphanie Becker, Hua Li, Su Ruan:
Deep Disentangled Representation Learning of Pet Images for Lymphoma Outcome Prediction. 1-4 - Alakh Desai, Ruchi Chauhan, Jayanthi Sivaswamy:
Image Segmentation Using Hybrid Representations. 1-4 - Ramtin Gharleghi, Gihan Samarasinghe, Arcot Sowmya, Susann Beier:
Deep Learning for Time Averaged Wall Shear Stress Prediction in Left Main Coronary Bifurcations. 1-4 - Alexei Goun:
Cramer Rao Inequality, Cauchy-Binet Representation and Structural Optimization of Fluorescence Unmixing Experiment. 1-4 - Shuo Han, Soonam Lee, Alain Chen, Changye Yang, Paul Salama, Kenneth W. Dunn, Edward J. Delp:
Three Dimensional Nuclei Segmentation and Classification of Fluorescence Microscopy Images. 1-5 - Nicholas L. Turner, Kisuk Lee, Ran Lu, Jingpeng Wu, Dodam Ih, H. Sebastian Seung:
Synaptic Partner Assignment Using Attentional Voxel Association Networks. 1-5 - Zaimin Xia, Guanghui Yue, Yanwu Xu, Chiyu Feng, Mengya Yang, Tianfu Wang, Baiying Lei:
A Novel End-to-End Hybrid Network for Alzheimer's Disease Detection Using 3D CNN and 3D CLSTM. 1-4 - Xinzhen Zhang, Yufu Zhou, Weikang Zhang, Jianqi Sun, Jun Zhao:
Adaptive Prior Patch Size Based Sparse-View CT Reconstruction Algorithm. 1-4 - Nicha C. Dvornek, Pamela Ventola, James S. Duncan:
Estimating Reproducible Functional Networks Associated with Task Dynamics Using Unsupervised LSTMS. 1-4 - Shen Zhao, Lee C. Potter, Kiryung Lee, Rizwan Ahmad:
Convolutional Framework for Accelerated Magnetic Resonance Imaging. 1-4 - Leo Brueggeman, Taylor R. Thomas, Tanner Koomar, Brady Hoskins, Jacob J. Michaelson:
Sex Differences in the Brain: Divergent Results from Traditional Machine Learning and Convolutional Networks. 1-4 - Lucas Porto, Robert Rohling:
Improving Interpretability of 2-D Ultrasound of the Lumbar Spine. 1-5 - Shanlin Sun, Yang Liu, Narisu Bai, Hao Tang, Xuming Chen, Qian Huang, Yong Liu, Xiaohui Xie:
Attentionanatomy: A Unified Framework for Whole-Body Organs at Risk Segmentation Using Multiple Partially Annotated Datasets. 1-5 - Rodrigo A. Lobos, Richard M. Leahy, Justin P. Haldar:
Autoregression and Structured Low-Rank Modeling of Sinograms. 1-4 - Zhiqi Chen, Yao Wang, Gadi Wollstein, María de los Angeles Ramos-Cadena, Joel S. Schuman, Hiroshi Ishikawa:
Macular GCIPL Thickness Map Prediction via Time-Aware Convolutional LSTM. 1-5 - Haotian Wang, Min Xian, Aleksandar Vakanski:
Bending Loss Regularized Network for Nuclei Segmentation in Histopathology Images. 1-5 - Gare Suman, Abha Saxena, Lopamudra Giri:
Confocal Imaging of Intercellular Calcium in HeLa Cells for Monitoring Drug-Response: Biophysical Framework for Visualization of the Time-Lapse Images. 1-4 - Mohammad Hamghalam, Tianfu Wang, Jie Du, Baiying Lei:
Transforming Intensity Distribution of Brain Lesions Via Conditional Gans for Segmentation. 1-4 - Weixian Lei, Rong Zhang, Yang Yang, Ruixuan Wang, Wei-Shi Zheng:
Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data. 1-5 - Zhenda Xu, Yong Zhang, Chunyang Fu, Limin Liu, Cong Chen, Wenchao Xu, Song Guo:
Back Shape Measurement and Three-Dimensional Reconstruction of Spinal Shape Using One Kinect Sensor. 1-5 - Dong Yang, Qiaoying Huang, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes. 1-4 - Cheng Li, Jin Ye, Junjun He, Shanshan Wang, Yu Qiao, Lixu Gu:
Dense Correlation Network for Automated Multi-Label Ocular Disease Detection with Paired Color Fundus Photographs. 1-4 - Bryar Shareef, Min Xian, Aleksandar Vakanski:
Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. 1-5 - Mohamad Ghanoum, Asem M. Ali, Salwa Elshazly, Islam Alkabbany, Aly A. Farag:
Panoramic View of Human Jaw Under Ambiguity Intraoral Camera Movement. 1-4 - Dongdong Liu, Yanwu Xu, Ahmed Elazab, Peng Yang, Wei Wang, Tianfu Wang, Baiying Lei:
Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory. 1-4 - Chong Chen, Yingmin Liu, Orlando P. Simonetti, Rizwan Ahmad:
Automatic Extraction and Sign Determination of Respiratory Signal in Real-Time Cardiac Magnetic Resonance Imaging. 1-4 - Yahang Li, Zepeng Wang, Fan Lam:
Separation of Metabolite and Macromolecule Signals for 1 H-Mrsi Using Learned Nonlinear Models. 1-4 - Xiangshun Liu, Minghui Zhang, Qiegen Liu, Taohui Xiao, Hairong Zheng, Leslie Ying, Shanshan Wang:
Multi-Contrast Mr Reconstruction with Enhanced Denoising Autoencoder Prior Learning. 1-5 - Jian Li, Anand A. Joshi, Richard M. Leahy:
A Network-Based Approach to Study of Adhd Using Tensor Decomposition of Resting State Fmri Data. 1-5 - Fidel A. Guerrero-Peña, Pedro D. Marrero-Fernández, Paul T. Tarr, Tsang Ing Ren, Elliot M. Meyerowitz, Alexandre Cunha:
J Regularization Improves Imbalanced Multiclass Segmentation. 1-5 - Nishant Kumar, Nico Hoffmann, Matthias Kirsch, Stefan Gumhold:
Visualisation of Medical Image Fusion and Translation for Accurate Diagnosis of High Grade Gliomas. 1-5 - Zachary Augenfeld, Ming De Lin, Julius Chapiro, James S. Duncan:
Automatic Multimodal Registration via Intraprocedural Cone-Beam CT Segmentation using MRI Distance Maps. 1-4 - Zhonghang Zhu, Xin Ding, Defu Zhang, Liansheng Wang:
Weakly-Supervised Balanced Attention Network for Gastric Pathology Image Localization and Classification. 1-4 - Yufan Zhou, Zheshuo Li, Chunwei Ma, Changyou Chen, Mingchen Gao, Hong Zhu, Jinhui Xu:
Weakly-Supervised Brain Tumor Classification with Global Diagnosis Label. 1-5 - Yuyuan Liu, Yu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro:
Photoshopping Colonoscopy Video Frames. 1-5 - Benjamin Leinwand, Guorong Wu, Vladas Pipiras:
Characterizing Frequency-Selective Network Vulnerability for Alzheimer's Disease by Identifying Critical Harmonic Patterns. 1-4 - Seyhmus Guler, Burak Erem, Alexander Li Cohen, Onur Afacan, Simon K. Warfield:
Dynamic Missing-Data Completion Reduces Leakage of Motion Artifact Caused by Temporal Filtering that Remains After Scrubbing. 1-4 - Wen Zhang, Yalin Wang:
Deep Multimodal Brain Network Learning for Joint Analysis of Structural Morphometry and Functional Connectivity. 1-5 - Yuxi Zhang, Risheng Liu, Zi Li, Zhu Liu, Xin Fan, Zhongxuan Luo:
Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration. 86-90 - Yudi Sang, Dan Ruan:
Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation Model. 91-94 - Jacob C. Reinhold, Yufan He, Shizhong Han, Yunqiang Chen, Dashan Gao, Junghoon Lee, Jerry L. Prince, Aaron Carass:
Validating Uncertainty in Medical Image Translation. 95-98 - Yungeng Zhang, Yuru Pei, Si Chen, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha:
Volumetric Registration-Based Cleft Volume Estimation of Alveolar Cleft Grafting Procedures. 99-103 - Eléonore Dufresne, Denis Fortun, Babloo Kumar, Stéphane Kremer, Vincent Noblet:
Joint Registration and Change Detection in Longitudinal Brain MRI. 104-108 - Chi Nok Enoch Kan, Najibakram Maheenaboobacker, Dong Hye Ye:
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks. 109-112 - Sadhana Ravikumar, Laura E. M. Wisse, Ranjit Ittyerah, Sydney Lim, Madigan Lavery, Long Xie, John L. Robinson, Theresa Schuck, Murray Grossman, Edward B. Lee, M. Dylan Tisdall, Karthik Prabhakaran, John A. Detre, Sandhitsu R. Das, Gabor Mizsei, Emilio Artacho-Pérula, Maria Mercedes Iñiguez de Onzoño Martin, María del Mar Arroyo Jiménez, Mónica Muñoz López, Francisco Javier Molina Romero, Maria del Pilar Marcos Rabal, David J. Irwin, John Q. Trojanowski, David A. Wolk, Ricardo Insausti, Paul A. Yushkevich:
Building an Ex Vivo Atlas of the Earliest Brain Regions Affected by Alzheimer's Disease Pathology. 113-117 - Danfeng Guo, Haihua Wei, Pengfei Zhao, Yue Pan, Hao-Yu Yang, Xin Wang, Junjie Bai, Kunlin Cao, Qi Song, Jun Xia, Feng Gao, Youbing Yin:
Simultaneous Classification and Segmentation of Intracranial Hemorrhage Using a Fully Convolutional Neural Network. 118-121 - Tongda Xu, Ziming Qiu, William Das, Chuiyu Wang, Jack Langerman, Nitin Nair, Orlando Aristizábal, Jonathan Mamou, Daniel H. Turnbull, Jeffrey A. Ketterling, Yao Wang:
Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. 122-126 - Nazanin Mohammadi Sepahvand, Douglas L. Arnold, Tal Arbel:
CNN Detection of New and Enlarging Multiple Sclerosis Lesions from Longitudinal Mri Using Subtraction Images. 127-130 - Yeeleng Scott Vang, Yingxin Cao, Peter D. Chang, Daniel S. Chow, Alexander Ulrich Brandt, Friedemann Paul, Michael Scheel, Xiaohui Xie:
SynergyNet: A Fusion Framework for Multiple Sclerosis Brain MRI Segmentation with Local Refinement. 131-135 - Mahmoud Mostapha, Boris Mailhé, Xiao Chen, Pascal Ceccaldi, Youngjin Yoo, Mariappan S. Nadar:
Braided Networks for Scan-Aware MRI Brain Tissue Segmentation. 136-139 - Jie Wei, Duc Toan Bui, Zhengwang Wu, Li Wang, Yong Xia, Gang Li, Dinggang Shen:
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network. 140-143 - Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. 144-148 - Yuanhao Guo, Fons J. Verbeek, Ge Yang:
Probabilistic Inference for Camera Calibration in Light Microscopy Under Circular Motion. 149-153 - Mangal Prakash, Manan Lalit, Pavel Tomancak, Alexander Krull, Florian Jug:
Fully Unsupervised Probabilistic Noise2Void. 154-158 - Coleman Broaddus, Alexander Krull, Martin Weigert, Uwe Schmidt, Gene Myers:
Removing Structured Noise with Self-Supervised Blind-Spot Networks. 159-163 - Adrian Shajkofci, Michael Liebling:
DeepFocus: A Few-Shot Microscope Slide Auto-Focus Using a Sample Invariant CNN-Based Sharpness Function. 164-168 - Mengran Fan, Tapabrata Chakraborti, Eric I-Chao Chang, Yan Xu, Jens Rittscher:
Fine-Grained Multi-Instance Classification in Microscopy Through Deep Attention. 169-173 - Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg:
Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. 174-177 - Thanh-An Pham, Emmanuel Soubies, Ahmed B. Ayoub, Demetri Psaltis, Michael Unser:
Adaptive Regularization for Three-Dimensional Optical Diffraction Tomography. 182-186 - Frédéric Jolivet, Clarisse Fournier, Michel Garcin, Lenka Zdeborová, Andrea Brambilla:
An Alternating Projection-Image Domains Algorithm for Spectral CT. 187-190 - Naveen Murthy, Jeffrey A. Fessler:
Block Axial Checkerboarding: A Distributed Algorithm for Helical X-Ray CT Reconstruction. 191-194 - Yao Xiao, Keith R. Peters, W. Christopher Fox, John H. Rees, Dhanashree A. Rajderkar, Manuel M. Arreola, Izabella Barreto, Wesley E. Bolch, Ruogu Fang:
Transfer-Gan: Multimodal Ct Image Super-Resolution Via Transfer Generative Adversarial Networks. 195-198 - Thomas Debarre, Benjamin Watts, Benedikt Rösner, Michael Unser:
Hessian Splines for Scanning Transmission X-Ray Microscopy. 199-202 - Vatsal Agarwal, Youbao Tang, Jing Xiao, Ronald M. Summers:
Weakly Supervised Lesion Co-Segmentation on Ct Scans. 203-206 - Wenzhe Wang, Qingyu Song, Ruiwei Feng, Tingting Chen, Jintai Chen, Danny Z. Chen, Jian Wu:
A Fully 3D Cascaded Framework for Pancreas Segmentation. 207-211 - Soumya Gupta, Sharib Ali, Louise Goldsmith, Ben Turney, Jens Rittscher:
MI-UNet: Improved Segmentation in Ureteroscopy. 212-216 - Sukriti Paul, Hanitha Devi Gundabattula, Chandra Sekhar Seelamantula, V. R. Mujeeb, A. S. Prasad:
Fully-Automated Semantic Segmentation of Wireless Capsule Endoscopy Abnormalities. 221-224 - Ruiwei Feng, Biwen Lei, Wenzhe Wang, Tingting Chen, Jintai Chen, Danny Z. Chen, Jian Wu:
SSN: A Stair-Shape Network for Real-Time Polyp Segmentation in Colonoscopy Images. 225-229 - Anton Böhm, Nikolaus Mayer, Thomas Brox:
Diskmask: Focusing Object Features for Accurate Instance Segmentation of Elongated or Overlapping Objects. 230-234 - Jan Hering, Jan Kybic:
Multiple Instance Learning Via Deep Hierarchical Exploration for Histology Image Classification. 235-238 - Jingwen Wang, Richard J. Chen, Ming Y. Lu, Alexander S. Baras, Faisal Mahmood:
Weakly Supervised Prostate Tma Classification Via Graph Convolutional Networks. 239-243 - Dingyi Hu, Yushan Zheng, Haopeng Zhang, Shujiao Sun, Fengying Xie, Jun Shi, Zhiguo Jiang:
Informative Retrieval Framework for Histopathology Whole Slides Images Based on Deep Hashing Network. 244-248 - Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof:
Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. 249-253 - Chaoyang Yan, Jun Xu, Jiawei Xie, Chengfei Cai, Haoda Lu:
Prior-Aware CNN with Multi-Task Learning for Colon Images Analysis. 254-257 - Mike van Zon, Nikolas Stathonikos, Willeke A. M. Blokx, Selim Komina, Sybren L. N. Maas, Josien P. W. Pluim, Paul J. van Diest, Mitko Veta:
Segmentation and Classification of Melanoma and Nevus in Whole Slide Images. 263-266 - Pietro Astolfi, Alessandro De Benedictis, Silvio Sarubbo, Giulia Berto, Emanuele Olivetti, Diego Sona, Paolo Avesani:
A Stem-Based Dissection of Inferior Fronto-Occipital Fasciculus with A Deep Learning Model. 267-270 - Venkateswarlu Gonuguntla, Kalyana C. Veluvolu, Jae-Hun Kim:
Recognition of Event-associated Brain Functional Networks in EEG for Brain Network Based Applications. 271-274 - Mahnaz Ashrafi, Hamid Soltanian-Zadeh:
Association Between Dynamic Functional Connectivity and Intelligence. 275-278 - Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye:
Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. 279-282 - Iman Aganj, Aina Frau-Pascual, Juan Eugenio Iglesias, Anastasia Yendiki, Jean C. Augustinack, David H. Salat, Bruce Fischl:
Compensatory Brain Connection Discovery in Alzheimer's Disease. 283-287 - Yurong Chen, Haoteng Tang, Lei Guo, Jamie C. Peven, Heng Huang, Alex D. Leow, Melissa Lamar, Liang Zhan:
A Generalized Framework of Pathlength Associated Community Estimation for Brain Structural Network. 288-291 - Yueting Wang, Defu Yang, Quefeng Li, Daniel Kaufer, Martin Styner, Guorong Wu:
Characterizing the Propagation Pattern of Neurodegeneration in Alzheimer's Disease by Longitudinal Network Analysis. 292-295 - Xiangdong Guo, Haifeng Zhao, Zhenyu Tang:
An Improved Deep Learning Approach for Thyroid Nodule Diagnosis. 296-299 - A. N. Madhavanunni, Mahesh Raveendranatha Panicker:
Directional Beam Focusing Based Dual Apodization Approach for Improved Vector Flow Imaging. 300-303 - Anand R, Arun Kumar Thittai:
Compressed Sensing for Data Reduction in Synthetic Aperture Ultrasound Imaging: A Feasibility Study. 304-307 - Lokesh Basavarajappa, Kenneth Hoyt:
High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue Classification. 308-311 - Anudeep Vayyeti, Arun Kumar Thittai:
A Filtered Delay Weight Multiply and Sum (F-DwMAS) Beamforming for Ultrasound Imaging: Preliminary Results. 312-315 - Alex Benjamin, Gregory Ely, Jonathan R. Fincke, Brian W. Anthony:
Reflection Ultrasound Tomography Using Localized Freehand Scans. 316-320 - AliArshad Kothawala, Divya Baskaran, Kavitha Arunachalam, Arun Kumar Thittai:
Regularized Kurtosis Imaging and its Comparison with Regularized Log Spectral Difference and Regularized Nakagami Imaging for Microwave Hyperthermia Hotspot Monitoring. 321-324 - Youyi Song, Zhen Yu, Teng Zhou, Jeremy Yuen-Chun Teoh, Baiying Lei, Kup-Sze Choi, Jing Qin:
CNN in CT Image Segmentation: Beyond Loss Function for Exploiting Ground Truth Images. 325-328 - Qin Wang, Weibing Zhao, Ruimao Zhang, Zhen Li, Shuguang Cui:
Progressive Abdominal Segmentation with Adaptively Hard Region Prediction and Feature Enhancement. 329-332 - Xu Yan, Kun Yuan, Weibing Zhao, Sheng Wang, Zhen Li, Shuguang Cui:
An Efficient Hybrid Model for Kidney Tumor Segmentation in CT Images. 333-336 - Jeffrey J. Ma, Ukash Nakarmi, Cedric Yue Sik Kin, Christopher M. Sandino, Joseph Y. Cheng, Ali B. Syed, Peter Wei, John M. Pauly, Shreyas S. Vasanawala:
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges. 337-340 - Xiaoshuai Hou, Chunmei Xie, Fengyi Li, Jiaping Wang, Chuanfeng Lv, Guotong Xie, Yang Nan:
A Triple-Stage Self-Guided Network for Kidney Tumor Segmentation. 341-344 - Nicolas Basty, Yi Liu, Madeleine Cule, E. Louise Thomas, Jimmy D. Bell, Brandon J. Whitcher:
Automated Measurement of Pancreatic Fat and Iron Concentration Using Multi-Echo and T1-Weighted MRI Data. 345-348 - Yixin Wang, Yao Zhang, Li Liu, Cheng Zhong, Jiang Tian, Yang Zhang, Zhongchao Shi, Zhiqiang He:
FGB: Feature Guidance Branch for Organ Detection in Medical Images. 349-353 - Hexin Dong, Fei Yu, Han Jiang, Hua Zhang, Bin Dong, Quanzheng Li, Li Zhang:
Annotation-Free Gliomas Segmentation Based on a Few Labeled General Brain Tumor Images. 354-358 - Jan Hendrik Moltz, Annika Hänsch, Bianca Lassen-Schmidt, Benjamin Haas, A. Genghi, J. Schreier, Tomasz Morgas, Jan Klein:
Learning a Loss Function for Segmentation: A Feasibility Study. 357-360 - Toan Duc Bui, Li Wang, Weili Lin, Gang Li, Dinggang Shen:
6-Month Infant Brain Mri Segmentation Guided by 24-Month Data Using Cycle-Consistent Adversarial Networks. 359-362