Abstract is missing.
- Lightweight Double Attention-Fused Networks for Intraoperative Stent SegmentationYan-Jie Zhou, Xiao-Liang Xie, Zeng-Guang Hou, Xiao-Hu Zhou, Gui-bin Bian, Shi-Qi Liu. 3-13 [doi]
- TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and LabellingDeepak Keshwani, Yoshiro Kitamura, Satoshi Ihara, Satoshi Iizuka, Edgar Simo-Serra. 14-23 [doi]
- Learning Hybrid Representations for Automatic 3D Vessel Centerline ExtractionJiafa He, Chengwei Pan, Can Yang, Ming Zhang, Yang Wang, Xiaowei Zhou, Yizhou Yu. 24-34 [doi]
- Branch-Aware Double DQN for Centerline Extraction in Coronary CT AngiographyYuyang Zhang, Gongning Luo, Wei Wang, Kuanquan Wang. 35-44 [doi]
- Automatic CAD-RADS Scoring Using Deep LearningFelix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier. 45-54 [doi]
- Higher-Order Flux with Spherical Harmonics Transform for Vascular AnalysisJierong Wang, Albert C. S. Chung. 55-65 [doi]
- Cerebrovascular Segmentation in MRA via Reverse Edge Attention NetworkHao Zhang, Likun Xia, Ran Song, Jianlong Yang, Huaying Hao, Jiang Liu, Yitian Zhao. 66-75 [doi]
- Automated Intracranial Artery Labeling Using a Graph Neural Network and Hierarchical RefinementLi Chen 0020, Thomas S. Hatsukami, Jenq-Neng Hwang, Chun Yuan. 76-85 [doi]
- Time Matters: Handling Spatio-Temporal Perfusion Information for Automated TICI ScoringMaximilian Nielsen, Moritz Waldmann, Thilo Sentker, Andreas Frölich, Jens Fiehler, René Werner. 86-96 [doi]
- ID-Fit: Intra-Saccular Device Adjustment for Personalized Cerebral Aneurysm TreatmentRomina Muñoz, Ana Paula Narata, Ignacio Larrabide. 97-105 [doi]
- JointVesselNet: Joint Volume-Projection Convolutional Embedding Networks for 3D Cerebrovascular SegmentationYifan Wang, Guoli Yan, Haikuan Zhu, Sagar Buch, Ying Wang, Ewart Mark Haacke, Jing Hua, Zichun Zhong. 106-116 [doi]
- Classification of Retinal Vessels into Artery-Vein in OCT Angiography Guided by Fundus ImagesJianyang Xie, Yonghuai Liu, Yalin Zheng, Pan Su, Yan Hu, Jian Yang 0009, Jiang Liu 0001, Yitian Zhao. 117-127 [doi]
- Vascular Surface Segmentation for Intracranial Aneurysm Isolation and QuantificationZiga Bizjak, Bostjan Likar, Franjo Pernus, Ziga Spiclin. 128-137 [doi]
- Deep Doubly Supervised Transfer Network for Diagnosis of Breast Cancer with Imbalanced Ultrasound Imaging ModalitiesXiangmin Han, Jun Wang, Weijun Zhou, Cai Chang, Shihui Ying, Jun Shi 0004. 141-149 [doi]
- 2D X-Ray Mammogram and 3D Breast MRI RegistrationHossein Soleimani, Oleg V. Michailovich. 150-159 [doi]
- A Second-Order Subregion Pooling Network for Breast Lesion Segmentation in UltrasoundLei Zhu, Rongzhen Chen, Huazhu Fu, Cong Xie, Liansheng Wang, Liang Wan, Pheng-Ann Heng. 160-170 [doi]
- Multi-scale Gradational-Order Fusion Framework for Breast Lesions Classification Using Ultrasound ImagesZhenyuan Ning, Chao Tu, Qing Xiao, Jiaxiu Luo, Yu Zhang. 171-180 [doi]
- Computer-Aided Tumor Diagnosis in Automated Breast Ultrasound Using 3D Detection NetworkJunxiong Yu, Chaoyu Chen, Xin Yang 0009, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni. 181-189 [doi]
- Auto-weighting for Breast Cancer Classification in Multimodal UltrasoundJian Wang, Juzheng Miao, Xin Yang 0009, Rui Li, Guangquan Zhou, Yuhao Huang, Zehui Lin, Wufeng Xue, Xiaohong Jia, Jianqiao Zhou, Ruobing Huang, Dong Ni. 190-199 [doi]
- MommiNet: Mammographic Multi-view Mass Identification NetworksZhicheng Yang, Zhenjie Cao, Yanbo Zhang, Mei Han, Jing Xiao 0006, Lingyun Huang, Shibin Wu, Jie Ma, Peng Chang. 200-210 [doi]
- Multi-site Evaluation of a Study-Level Classifier for Mammography Using Deep LearningDustin Sargent, Sun Young Park, Amod Jog, Aly Mohamed, David Richmond. 211-219 [doi]
- The Case of Missed Cancers: Applying AI as a Radiologist's Safety NetMichal Chorev, Yoel Shoshan, Adam Spiro, Shaked Naor, Alon Hazan, Vesna Barros, Iuliana Weinstein, Esma Herzel, Varda Shalev, Michal Guindy, Michal Rosen-Zvi. 220-229 [doi]
- Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk ModelsYue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith 0001. 230-240 [doi]
- Multi-task Learning for Detection and Classification of Cancer in Screening MammographyMaria V. Sainz de Cea, Karl Diedrich, Ran Bakalo, Lior Ness, David Richmond. 241-250 [doi]
- Adaptive Context Selection for Polyp SegmentationRuifei Zhang, Guanbin Li, Zhen Li, Shuguang Cui, Dahong Qian, Yizhou Yu. 253-262 [doi]
- PraNet: Parallel Reverse Attention Network for Polyp SegmentationDeng-Ping Fan, Ge-Peng Ji, Tao Zhou 0002, Geng Chen, Huazhu Fu, Jianbing Shen, Ling Shao 0001. 263-273 [doi]
- Few-Shot Anomaly Detection for Polyp Frames from ColonoscopyYu Tian, Gabriel Maicas, Leonardo Zorron Cheng Tao Pu, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro. 274-284 [doi]
- PolypSeg: An Efficient Context-Aware Network for Polyp Segmentation from Colonoscopy VideosJiafu Zhong, Wei Wang, Huisi Wu, Zhenkun Wen, Jing Qin. 285-294 [doi]
- Endoscopic Polyp Segmentation Using a Hybrid 2D/3D CNNJuana González-Bueno Puyal, Kanwal K. Bhatia, Patrick Brandao, Omer F. Ahmad, Daniel Toth 0001, Rawen Kader, Laurence B. Lovat, Peter Mountney, Danail Stoyanov. 295-305 [doi]
- A Distance-Based Loss for Smooth and Continuous Skin Layer Segmentation in Optoacoustic ImagesStefan Gerl, Johannes C. Paetzold, Hailong He, Ivan Ezhov, Suprosanna Shit, Florian Kofler, Amirhossein Bayat, Giles Tetteh, Vasilis Ntziachristos, Bjoern H. Menze. 309-319 [doi]
- Fairness of Classifiers Across Skin Tones in DermatologyNewton M. Kinyanjui, Timothy Odonga, Celia Cintas, Noel C. F. Codella, Rameswar Panda, Prasanna Sattigeri, Kush R. Varshney. 320-329 [doi]
- Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease ClassificationWei Zhu, Haofu Liao, Wenbin Li 0006, Weijian Li, Jiebo Luo. 330-339 [doi]
- Clinical-Inspired Network for Skin Lesion RecognitionZihao Liu, Ruiqin Xiong, Tingting Jiang. 340-350 [doi]
- Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical ImagesZihao Liu, Haihao Pan, Chen Gong, Zejia Fan, Yujie Wen, Tingting Jiang, Ruiqin Xiong, Hang Li, Yang Wang. 351-361 [doi]
- Deep Learning Automatic Fetal Structures Segmentation in MRI Scans with Few Annotated DatasetsGal Dudovitch, Daphna Link-Sourani, Liat Ben-Sira, Elka Miller, Dafna Ben-Bashat, Leo Joskowicz. 365-374 [doi]
- Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpectPaddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander. 375-385 [doi]
- Semi-supervised Learning for Fetal Brain MRI Quality Assessment with ROI ConsistencyJunshen Xu, Sayeri Lala, Borjan A. Gagoski, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson. 386-395 [doi]
- Enhanced Detection of Fetal Pose in 3D MRI by Deep Reinforcement Learning with Physical Structure Priors on AnatomyMolin Zhang, Junshen Xu, Esra Abaci Turk, P. Ellen Grant, Polina Golland, Elfar Adalsteinsson. 396-405 [doi]
- Automatic Angle of Progress Measurement of Intrapartum Transperineal Ultrasound Image with Deep LearningMinghong Zhou, Chao Yuan, Zhaoshi Chen, Chuan Wang, Yaosheng Lu. 406-414 [doi]
- Joint Image Quality Assessment and Brain Extraction of Fetal MRI Using Deep LearningLufan Liao, Xin Zhang, Fenqiang Zhao, Tao Zhong, Yuchen Pei, Xiangmin Xu, Li Wang 0026, He Zhang, Dinggang Shen, Gang Li 0001. 415-424 [doi]
- Accelerated 4D Respiratory Motion-Resolved Cardiac MRI with a Model-Based Variational NetworkHaikun Qi, Niccolo Fuin, Thomas Kuestner, René M. Botnar, Claudia Prieto. 427-435 [doi]
- Motion Pyramid Networks for Accurate and Efficient Cardiac Motion EstimationHanchao Yu, Xiao Chen, Humphrey Shi, Terrence Chen, Thomas S. Huang, Shanhui Sun. 436-446 [doi]
- ICA-UNet: ICA Inspired Statistical UNet for Real-Time 3D Cardiac Cine MRI SegmentationTianchen Wang, Xiaowei Xu 0004, Jinjun Xiong, Qianjun Jia, Haiyun Yuan, Meiping Huang, Jian Zhuang, Yiyu Shi. 447-457 [doi]
- A Bottom-Up Approach for Real-Time Mitral Valve Annulus Modeling on 3D Echo ImagesYue Zhang 0036, Abdoul-aziz Amadou, Ingmar Voigt, Viorel Mihalef, Helene Houle, Matthias John 0001, Tommaso Mansi, Rui Liao. 458-467 [doi]
- A Semi-supervised Joint Network for Simultaneous Left Ventricular Motion Tracking and Segmentation in 4D EchocardiographyKevinminh Ta, Shawn S. Ahn, John C. Stendahl, Albert J. Sinusas, James S. Duncan. 468-477 [doi]
- Joint Data Imputation and Mechanistic Modelling for Simulating Heart-Brain Interactions in Incomplete DatasetsJaume Banus, Maxime Sermesant, Oscar Camara, Marco Lorenzi. 478-486 [doi]
- Learning Geometry-Dependent and Physics-Based Inverse Image ReconstructionXiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li 0007, Prashnna Kumar Gyawali, Linwei Wang. 487-496 [doi]
- Hierarchical Classification of Pulmonary Lesions: A Large-Scale Radio-Pathomics StudyJiancheng Yang, Mingze Gao, Kaiming Kuang, Bingbing Ni, Yunlang She, Dong Xie, Chang Chen. 497-507 [doi]
- Learning Tumor Growth via Follow-Up Volume Prediction for Lung NodulesYamin Li, Jiancheng Yang, Yi Xu, Jingwei Xu, Xiaodan Ye, Guangyu Tao, Xueqian Xie, Guixue Liu. 508-517 [doi]
- Multi-stream Progressive Up-Sampling Network for Dense CT Image ReconstructionQiuyue Liu, Zhen Zhou, Feng Liu, Xiangming Fang, Yizhou Yu, Yizhou Wang 0001. 518-528 [doi]
- Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction AutoencodersYifan Mao, Feifei Xue, Ruixuan Wang, Jianguo Zhang 0001, Wei-Shi Zheng, Hongmei Liu. 529-538 [doi]
- Region Proposals for Saliency Map Refinement for Weakly-Supervised Disease Localisation and ClassificationRenato Hermoza, Gabriel Maicas, Jacinto C. Nascimento, Gustavo Carneiro. 539-549 [doi]
- CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT ScansTao Song, Jieneng Chen, Xiangde Luo, Yechong Huang, Xinglong Liu, Ning Huang, Yinan Chen, Zhaoxiang Ye, Huaqiang Sheng, Shaoting Zhang, Guotai Wang. 550-559 [doi]
- Interpretable Identification of Interstitial Lung Disease (ILD) Associated Findings from CTYifan Wu, Jiancong Wang, William Lindsay, Tarmily Wen, Jianbo Shi, James C. Gee. 560-569 [doi]
- Learning with Sure Data for Nodule-Level Lung Cancer PredictionHanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang. 570-578 [doi]
- Cascaded Robust Learning at Imperfect Labels for Chest X-ray SegmentationCheng Xue, Qiao Deng, Xiaomeng Li, Qi Dou, Pheng-Ann Heng. 579-588 [doi]
- Class-Aware Multi-window Adversarial Lung Nodule Synthesis Conditioned on Semantic FeaturesQiuli Wang, Xingpeng Zhang, Wei Chen, Kun Wang, Xiaohong Zhang. 589-598 [doi]
- Nodule2vec: A 3D Deep Learning System for Pulmonary Nodule Retrieval Using Semantic RepresentationIlia Kravets, Tal Heletz, Hayit Greenspan. 599-608 [doi]
- Deep Active Learning for Effective Pulmonary Nodule DetectionJingya Liu, Liangliang Cao, Yingli Tian. 609-618 [doi]
- Towards Robust Bone Age Assessment: Rethinking Label Noise and AmbiguityPing Gong, Zihao Yin, Yizhou Wang, Yizhou Yu. 621-630 [doi]
- Improve Bone Age Assessment by Learning from Anatomical Local RegionsDong Wang, Kexin Zhang, Jia Ding, Liwei Wang 0001. 631-640 [doi]
- An Analysis by Synthesis Method that Allows Accurate Spatial Modeling of Thickness of Cortical Bone from Clinical QCTStefan Reinhold, Timo Damm, Sebastian Büsse, Stanislav N. Gorb, Claus Christian Glüer, Reinhard Koch. 641-651 [doi]
- Segmentation of Paraspinal Muscles at Varied Lumbar Spinal Levels by Explicit Saliency-Aware LearningJiawei Huang, Haotian Shen, Bo Chen, Yue Wang, Shuo Li. 652-661 [doi]
- Manifold Ordinal-Mixup for Ordered Classes in TW3-Based Bone Age AssessmentByeonguk Bae, Jaewon Lee, Seo Taek Kong, Jinkyeong Sung, Kyu-Hwan Jung. 662-670 [doi]
- Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the KneeFlorian Kordon, Andreas K. Maier, Benedict Swartman, Maxim Privalov, Jan Siad El Barbari, Holger Kunze. 671-680 [doi]
- Automatic Segmentation, Localization, and Identification of Vertebrae in 3D CT Images Using Cascaded Convolutional Neural NetworksNaoto Masuzawa, Yoshiro Kitamura, Keigo Nakamura, Satoshi Iizuka, Edgar Simo-Serra. 681-690 [doi]
- Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor DiagnosisShen Zhao, Bin Chen, Heyou Chang, Xi Wu 0004, Shuo Li. 691-701 [doi]
- Multi-vertebrae Segmentation from Arbitrary Spine MR Images Under Global ViewHeyou Chang, Shen Zhao, Hao Zheng, Yang Chen, Shuo Li 0001. 702-711 [doi]
- A Convolutional Approach to Vertebrae Detection and Labelling in Whole Spine MRIRhydian Windsor, Amir Jamaludin, Timor Kadir, Andrew Zisserman. 712-722 [doi]
- Keypoints Localization for Joint Vertebra Detection and Fracture Severity QuantificationMaxim Pisov, Vladimir Kondratenko, Alexey Zakharov, Alexey Petraikin, Victor Gombolevskiy, Sergey Morozov, Mikhail Belyaev. 723-732 [doi]
- Grading Loss: A Fracture Grade-Based Metric Loss for Vertebral Fracture DetectionMalek El Husseini, Anjany Sekuboyina, Maximilian Löffler, Fernando Navarro, Bjoern H. Menze, Jan S. Kirschke. 733-742 [doi]
- 3D Convolutional Sequence to Sequence Model for Vertebral Compression Fractures Identification in CTDavid Chettrit, Tomer Meir, Hila Lebel, Mila Orlovsky, Ronen Gordon, Ayelet Akselrod-Ballin, Amir Bar. 743-752 [doi]
- SIMBA: Specific Identity Markers for Bone Age AssessmentCristina González, María Escobar, Laura Alexandra Daza, Felipe Torres, Gustavo Triana, Pablo Arbeláez. 753-763 [doi]
- Doctor Imitator: A Graph-Based Bone Age Assessment Framework Using Hand RadiographsJintai Chen, Bohan Yu, Biwen Lei, Ruiwei Feng, Danny Z. Chen, Jian Wu. 764-774 [doi]
- Inferring the 3D Standing Spine Posture from 2D RadiographsAmirhossein Bayat, Anjany Sekuboyina, Johannes C. Paetzold, Christian Payer, Darko Stern, Martin Urschler, Jan S. Kirschke, Bjoern H. Menze. 775-784 [doi]
- Generative Modelling of 3D In-Silico Spongiosa with Controllable Micro-structural ParametersEmmanuel Iarussi, Felix Sebastian Leo Thomsen, Claudio Delrieux. 785-794 [doi]
- GAN-Based Realistic Bone Ultrasound Image and Label Synthesis for Improved SegmentationAhmed Z. Alsinan, Charles Rule, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu. 795-804 [doi]
- Robust Bone Shadow Segmentation from 2D Ultrasound Through Task DecompositionPuyang Wang, Michael Vives, Vishal M. Patel, Ilker Hacihaliloglu. 805-814 [doi]