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ORCID26th MICCAI 2023: Vancouver, BC, Canada - Part V
- Hayit Greenspan, Anant Madabhushi
, Parvin Mousavi, Septimiu E. Salcudean, James Duncan, Tanveer F. Syeda-Mahmood, Russell H. Taylor:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14224, Springer 2023, ISBN 978-3-031-43903-2
Computer-Aided Diagnosis I
- Yicheng Jiang, Luyue Shi, Wei Qi, Lei Chen, Guanbin Li, Xiaoguang Han, Xiang Wan, Siqi Liu:
Automatic Bleeding Risk Rating System of Gastric Varices. 3-12 - Xiaodan Xing, Federico Felder, Yang Nan, Giorgos Papanastasiou, Simon Walsh, Guang Yang:
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images. 13-22 - Luyuan Xie, Cong Li, Zirui Wang, Xin Zhang, Boyan Chen, Qingni Shen, Zhonghai Wu:
SHISRCNet: Super-Resolution and Classification Network for Low-Resolution Breast Cancer Histopathology Image. 23-32 - Silvia Dias Almeida, Carsten T. Lüth, Tobias Norajitra, Tassilo Wald, Marco Nolden, Paul F. Jäger, Claus Peter Heussel, Jürgen Biederer, Oliver Weinheimer, Klaus H. Maier-Hein:
cOOpD: Reformulating COPD Classification on Chest CT Scans as Anomaly Detection Using Contrastive Representations. 33-43 - Yuncheng Jiang, Zixun Zhang, Ruimao Zhang, Guanbin Li, Shuguang Cui, Zhen Li:
YONA: You Only Need One Adjacent Reference-Frame for Accurate and Fast Video Polyp Detection. 44-54 - Jianwei Zhang, Yonggang Shi:
Personalized Patch-Based Normality Assessment of Brain Atrophy in Alzheimer's Disease. 55-62 - Fei Li, Mingyu Wang, Bin Huang, Xiaoyu Duan, Zhuya Zhang, Ziyin Ye, Bingsheng Huang:
Patients and Slides are Equal: A Multi-level Multi-instance Learning Framework for Pathological Image Analysis. 63-71 - Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi:
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. 72-82 - Xuanye Zhang, Kaige Yin, Siqi Liu, Zhijie Feng, Xiaoguang Han, Guanbin Li, Xiang Wan:
Self- and Semi-supervised Learning for Gastroscopic Lesion Detection. 83-93 - Peiang Zhao, Han Li, Ruiyang Jin, S. Kevin Zhou:
DiffULD: Diffusive Universal Lesion Detection. 94-105 - Beniamin Di Veroli, Richard Lederman, Jacob Sosna, Leo Joskowicz:
Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies. 106-115 - Xinyi Yang, Bennett B. Chin, Michael Silosky, Daniel Litwiller, Debashis Ghosh, Fuyong Xing:
Learning with Synthesized Data for Generalizable Lesion Detection in Real PET Images. 116-126 - Tianhong Quan, Ye Yuan, Yu Luo, Teng Zhou, Jing Qin:
Robust Exclusive Adaptive Sparse Feature Selection for Biomarker Discovery and Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus. 127-135 - Han Wu, Jiadong Zhang, Yu Fang, Zhentao Liu, Nizhuan Wang, Zhiming Cui, Dinggang Shen:
Multi-view Vertebra Localization and Identification from CT Images. 136-145 - Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang:
Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. 146-156 - Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström:
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. 157-167 - Kai Ma, Xuyun Wen, Qi Zhu, Daoqiang Zhang:
Positive Definite Wasserstein Graph Kernel for Brain Disease Diagnosis. 168-177 - Zheyao Gao, Yuanye Liu, Fuping Wu, Nannan Shi, Yuxin Shi, Xiahai Zhuang:
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging. 178-188 - Qingqing Zhu, Tejas Sudharshan Mathai, Pritam Mukherjee, Yifan Peng, Ronald M. Summers, Zhiyong Lu:
Utilizing Longitudinal Chest X-Rays and Reports to Pre-fill Radiology Reports. 189-198 - Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang:
Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. 199-209 - Deval Mehta, Shobi Sivathamboo, Hugh Simpson, Patrick Kwan, Terence J. O'Brien, Zongyuan Ge:
Privacy-Preserving Early Detection of Epileptic Seizures in Videos. 210-219 - Zehua Ren, Yongheng Sun, Miaomiao Wang, Yuying Feng, Xianjun Li, Chao Jin, Jian Yang, Chunfeng Lian, Fan Wang:
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative Learning. 220-229 - Hongmin Cai, Zhixuan Zhou, Defu Yang, Guorong Wu, Jiazhou Chen:
Discovering Brain Network Dysfunction in Alzheimer's Disease Using Brain Hypergraph Neural Network. 230-240 - Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang:
Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. 241-251 - Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh:
Contrastive Feature Decoupling for Weakly-Supervised Disease Detection. 252-261 - Jiaxin Yue, Yonggang Shi:
Uncovering Heterogeneity in Alzheimer's Disease from Graphical Modeling of the Tau Spatiotemporal Topography. 262-271 - Yunkun Zhang, Jin Gao, Mu Zhou, Xiaosong Wang, Yu Qiao, Shaoting Zhang, Dequan Wang:
Text-Guided Foundation Model Adaptation for Pathological Image Classification. 272-282 - Miaotian Guo, Huahui Yi, Ziyuan Qin, Haiying Wang, Aidong Men, Qicheng Lao:
Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models. 283-292 - Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection. 293-303 - Cosmin I. Bercea, Daniel Rueckert, Julia A. Schnabel:
What Do AEs Learn? Challenging Common Assumptions in Unsupervised Anomaly Detection. 304-314 - Yejia Zhang, Pengfei Gu, Nishchal Sapkota, Danny Z. Chen:
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings. 315-326 - Yunan Wu, Francisco M. Castro-Macías, Pablo Morales-Álvarez, Rafael Molina, Aggelos K. Katsaggelos:
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection. 327-337 - Qikui Zhu, Lei Yin, Qian Tang, Yanqing Wang, Yanxiang Cheng, Shuo Li:
DCAug: Domain-Aware and Content-Consistent Cross-Cycle Framework for Tumor Augmentation. 338-347 - Zijian Dong, Yilei Wu, Yu Xiao, Joanna Su Xian Chong, Yueming Jin, Juan Helen Zhou:
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding. 348-357 - Yin Luo, Wei Liu, Tao Fang, Qilong Song, Xuhong Min, Minghui Wang, Ao Li:
CARL: Cross-Aligned Representation Learning for Multi-view Lung Cancer Histology Classification. 358-367 - Siyu Liu, Linfeng Liu, Craig Engstrom, Xuan Vinh To, Zongyuan Ge, Stuart Crozier, Fatima A. Nasrallah, Shekhar S. Chandra:
Style-Based Manifold for Weakly-Supervised Disease Characteristic Discovery. 368-378 - Eduard Lloret Carbonell, Yiqing Shen, Xin Yang, Jing Ke:
COVID-19 Pneumonia Classification with Transformer from Incomplete Modalities. 379-388 - Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi:
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images. 389-398 - Ying Zhang, Yaping Huang, Jiansong Qi, Sihui Zhang, Mei Tian, Yi Tian:
Uncertainty Inspired Autism Spectrum Disorder Screening. 399-408 - Chantal Pellegrini, Matthias Keicher, Ege Özsoy, Nassir Navab:
Rad-ReStruct: A Novel VQA Benchmark and Method for Structured Radiology Reporting. 409-419 - Chantal Pellegrini, Matthias Keicher, Ege Özsoy, Petra Jiraskova, Rickmer Braren, Nassir Navab:
Xplainer: From X-Ray Observations to Explainable Zero-Shot Diagnosis. 420-429 - Haoxuan Che, Yuhan Cheng, Haibo Jin, Hao Chen:
Towards Generalizable Diabetic Retinopathy Grading in Unseen Domains. 430-440 - AnLan Sun, Zhao Zhang, Meng Lei, Yuting Dai, Dong Wang, Liwei Wang:
Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers. 441-451 - Yanjie Zhou, Youhao Li, Feng Zhou, Yong Liu, Liyun Tu:
Learning with Domain-Knowledge for Generalizable Prediction of Alzheimer's Disease from Multi-site Structural MRI. 452-461 - Shouyu Chen, Xin Guo, Jianping Zhu, Yin Wang:
GSDG: Exploring a Global Semantic-Guided Dual-Stream Graph Model for Automated Volume Differential Diagnosis and Prognosis. 462-471 - Joshua Durso-Finley, Jean-Pierre R. Falet, Raghav Mehta, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Improving Image-Based Precision Medicine with Uncertainty-Aware Causal Models. 472-481 - Zeyi Hou, Ruixin Yan, Qizheng Wang, Ning Lang, Xiuzhuang Zhou:
Diversity-Preserving Chest Radiographs Generation from Reports in One Stage. 482-492 - Cheng Chen, Aoxiao Zhong, Dufan Wu, Jie Luo, Quanzheng Li:
Contrastive Masked Image-Text Modeling for Medical Visual Representation Learning. 493-503 - Xiao Ma, Zetian Zhang, Zexuan Ji, Kun Huang, Na Su, Songtao Yuan, Qiang Chen:
Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography. 504-514 - Zhusi Zhong, Jie Li, Shreyas Kulkarni, Yang Li, Fayez H. Fayad, Helen Zhang, Sun Ho Ahn, Harrison Bai, Xinbo Gao, Michael Atalay, Zhicheng Jiao:
Improving Outcome Prediction of Pulmonary Embolism by De-biased Multi-modality Model. 515-525 - Ning Dai, Lai Jiang, Yibing Fu, Sai Pan, Mai Xu, Xin Deng, Pu Chen, Xiangmei Chen:
Recruiting the Best Teacher Modality: A Customized Knowledge Distillation Method for if Based Nephropathy Diagnosis. 526-536 - Go-Eun Lee, Seon Ho Kim, Jungchan Cho, Sang Tae Choi, Sang-Il Choi:
Text-Guided Cross-Position Attention for Segmentation: Case of Medical Image. 537-546 - Luoyao Kang, Haifan Gong, Xiang Wan, Haofeng Li:
Visual-Attribute Prompt Learning for Progressive Mild Cognitive Impairment Prediction. 547-557 - Peng Yang, Yuchen Zhang, Haijun Lei, Yueyan Bian, Qi Yang, Baiying Lei:
Acute Ischemic Stroke Onset Time Classification with Dynamic Convolution and Perfusion Maps Fusion. 558-568 - Roy Hirsch, Mathilde Caron, Regev Cohen, Amir Livne, Ron Shapiro, Tomer Golany, Roman Goldenberg, Daniel Freedman, Ehud Rivlin:
Self-supervised Learning for Endoscopic Video Analysis. 569-578 - Jinpeng Li, Hanqun Cao, Jiaze Wang, Furui Liu, Qi Dou, Guangyong Chen, Pheng-Ann Heng:
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images. 579-589 - Yotam Intrator, Natalie Aizenberg, Amir Livne, Ehud Rivlin, Roman Goldenberg:
Self-supervised Polyp Re-identification in Colonoscopy. 590-600 - Nemo Fournier, Stanley Durrleman:
A Multimodal Disease Progression Model for Genetic Associations with Disease Dynamics. 601-610 - Akimichi Ichinose, Taro Hatsutani, Keigo Nakamura, Yoshiro Kitamura, Satoshi Iizuka, Edgar Simo-Serra, Shoji Kido, Noriyuki Tomiyama:
Visual Grounding of Whole Radiology Reports for 3D CT Images. 611-621 - Duo Xi, Dingnan Cui, Jin Zhang, Muheng Shang, Minjianan Zhang, Lei Guo, Junwei Han, Lei Du:
Identification of Disease-Sensitive Brain Imaging Phenotypes and Genetic Factors Using GWAS Summary Statistics. 622-631 - Yanzhou Su, Yiqing Shen, Jin Ye, Junjun He, Jian Cheng:
Revisiting Feature Propagation and Aggregation in Polyp Segmentation. 632-641 - Junyu Li, Han Huang, Dong Ni, Wufeng Xue, Dongmei Zhu, Jun Cheng:
MUVF-YOLOX: A Multi-modal Ultrasound Video Fusion Network for Renal Tumor Diagnosis. 642-651 - Paula López Diez, Ján Margeta, Khassan Diab, François Patou, Rasmus R. Paulsen:
Unsupervised Classification of Congenital Inner Ear Malformations Using DeepDiffusion for Latent Space Representation. 652-662 - Gregory Holste, Ziyu Jiang, Ajay Jaiswal, Maria Hanna, Shlomo Minkowitz, Alan C. Legasto, Joanna G. Escalon, Sharon Steinberger, Mark Bittman, Thomas C. Shen, Ying Ding, Ronald M. Summers, George Shih, Yifan Peng, Zhangyang Wang:
How Does Pruning Impact Long-Tailed Multi-label Medical Image Classifiers? 663-673 - Lu Zhang, Saiyang Na, Tianming Liu, Dajiang Zhu, Junzhou Huang:
Multimodal Deep Fusion in Hyperbolic Space for Mild Cognitive Impairment Study. 674-684 - Amarachi Mbakawe, Lyuyang Wang, Mehdi Moradi, Ismini Lourentzou:
Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images. 685-695 - Minyan Zeng, Yutong Xie, Minh-Son To, Lauren Oakden-Rayner, Luke Whitbread, Stephen Bacchi, Alix Bird, Luke Smith, Rebecca Scroop, Timothy Kleinig, Jim Jannes, Lyle J. Palmer, Mark Jenkinson:
Improved Flexibility and Interpretability of Large Vessel Stroke Prognostication Using Image Synthesis and Multi-task Learning. 696-705 - Shangxuan Li, Chichi Li, Yu Du, Li Ye, Yanshu Fang, Cheng Wang, Wu Zhou:
Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT. 706-714 - Wenao Ma, Cheng Chen, Jill M. Abrigo, Calvin Hoi-Kwan Mak, Yuqi Gong, Nga Yan Chan, Chu Han, Zaiyi Liu, Qi Dou:
Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data. 715-725 - Tom van Sonsbeek, Mohammad Mahdi Derakhshani, Ivona Najdenkoska, Cees G. M. Snoek, Marcel Worring:
Open-Ended Medical Visual Question Answering Through Prefix Tuning of Language Models. 726-736 - Leonhard Rist, Oliver Taubmann, Hendrik Ditt, Michael Sühling, Andreas K. Maier:
Flexible Unfolding of Circular Structures for Rendering Textbook-Style Cerebrovascular Maps. 737-746 - Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell:
Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification. 747-757 - Ruby Wood, Enric Domingo, Korsuk Sirinukunwattana, Maxime W. Lafarge, Viktor H. Koelzer, Timothy S. Maughan, Jens Rittscher:
Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. 758-767 - Boran Hao, Guoyao Shen, Ruidi Chen, Chad W. Farris, Stephan W. Anderson, Xin Zhang, Ioannis Ch. Paschalidis:
Distributionally Robust Image Classifiers for Stroke Diagnosis in Accelerated MRI. 768-777 - Yen Nhi Truong Vu, Dan Guo, Ahmed Taha, Jason Su, Thomas Paul Matthews:
M&M: Tackling False Positives in Mammography with a Multi-view and Multi-instance Learning Sparse Detector. 778-788 - Joonhyuk Park, Yechan Hwang, Minjeong Kim, Moo K. Chung, Guorong Wu, Won Hwa Kim:
Convolving Directed Graph Edges via Hodge Laplacian for Brain Network Analysis. 789-799
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