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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part V
- Marius George Linguraru
, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 - 27th International Conference, Marrakesh, Morocco, October 6-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15005, Springer 2024, ISBN 978-3-031-72085-7
Computer Aided Diagnosis, Treatment Response, and Outcome Prediction
- Emmanuelle Bourigault, Amir Jamaludin, Andrew Zisserman:
3D Spine Shape Estimation from Single 2D DXA. 3-13 - Xiaoya Fan, Pengzhi Xu, Qi Zhao, Chenru Hao, Zheng Zhao, Zhong Wang:
A Domain Adaption Approach for EEG-Based Automated Seizure Classification with Temporal-Spatial-Spectral Attention. 14-24 - Jianqiao Zhang, Hao Xiong, Qiangguo Jin, Tian Feng, Jiquan Ma, Ping Xuan, Peng Cheng, Zhiyuan Ning, Zhiyu Ning, Changyang Li, Linlin Wang, Hui Cui:
A Multi-information Dual-Layer Cross-Attention Model for Esophageal Fistula Prognosis. 25-35 - Clément Playout, Zacharie Legault, Renaud Duval, Marie-Carole Boucher, Farida Cheriet:
A Region-Based Approach to Diabetic Retinopathy Classification with Superpixel Tokenization. 36-45 - Yichen Hu, Chao Wang, Weitao Song, Aleksei Tiulpin, Qing Liu:
A Scanning Laser Ophthalmoscopy Image Database and Trustworthy Retinal Disease Detection Method. 46-56 - Chao Liu, Xueqing Yu, Dingyu Wang, Tingting Jiang:
ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology. 57-67 - Léa Gazeau, Hang Nguyen, Zung Nguyen, Mariia Lebedeva, Thanh Nguyen, Tat Dat To, Jimmy le Digabel, Jérome Filiol, Gwendal Josse, Clifford Perlis, Jonathan Wolfe:
AcneAI: A New Acne Severity Assessment Method Using Digital Images and Deep Learning. 68-78 - Zhouhang Yuan, Zhengqing Fang, Zhengxing Huang, Fei Wu, Yu-Feng Yao, Yingming Li:
Adapting Pre-trained Generative Model to Medical Image for Data Augmentation. 79-89 - Hongchao Jiang, Chunyan Miao:
Anatomy-Aware Gating Network for Explainable Alzheimer's Disease Diagnosis. 90-100 - Robin Y. Park, Rhydian Windsor, Amir Jamaludin, Andrew Zisserman:
Automated Spinal MRI Labelling from Reports Using a Large Language Model. 101-111 - Jiawei Chen, Yue Jiang, Dingkang Yang, Mingcheng Li, Jinjie Wei, Ziyun Qian, Lihua Zhang:
Can LLMs' Tuning Methods Work in Medical Multimodal Domain? 112-122 - Shahar Zuler, Shai Tejman-Yarden, Dan Raviv:
CardioSpectrum: Comprehensive Myocardium Motion Analysis with 3D Deep Learning and Geometric Insights. 123-133 - Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba. 134-144 - Huijian Zhou, Zhiqiang Tian, Xiangmin Han, Shaoyi Du, Yue Gao:
ccRCC Metastasis Prediction via Exploring High-Order Correlations on Multiple WSIs. 145-154 - Han Wu, Chong Wang, Lanzhuju Mei, Tong Yang, Min Zhu, Dinggang Shen, Zhiming Cui:
Cephalometric Landmark Detection Across Ages with Prototypical Network. 155-165 - Yuhan Zhang, Kun Huang, Xikai Yang, Xiao Ma, Jian Wu, Ningli Wang, Xi Wang, Pheng-Ann Heng:
Coarse-to-Fine Latent Diffusion Model for Glaucoma Forecast on Sequential Fundus Images. 166-176 - Yihua Sun, Hee Guan Khor, Yuanzheng Wang, Zhuhao Wang, Hongliang Zhao, Yu Zhang, Longfei Ma, Zhuozhao Zheng, Hongen Liao:
Continually Tuning a Large Language Model for Multi-domain Radiology Report Generation. 177-187 - Peng Wan, Shukang Zhang, Wei Shao, Junyong Zhao, Yinkai Yang, Wentao Kong, Haiyan Xue, Daoqiang Zhang:
Correlation-Adaptive Multi-view CEUS Fusion for Liver Cancer Diagnosis. 188-197 - Amr Hagag, Ahmed Gomaa, Dominik Kornek, Andreas Maier, Rainer Fietkau, Christoph Bert, Yixing Huang, Florian Putz:
Deep Learning for Cancer Prognosis Prediction Using Portrait Photos by StyleGAN Embedding. 198-208 - Wen-wai Yim, Yujuan Fu, Zhaoyi Sun, Asma Ben Abacha, Meliha Yetisgen, Fei Xia:
DermaVQA: A Multilingual Visual Question Answering Dataset for Dermatology. 209-219 - Rui Li, Jingliang Ruan, Yao Lu:
Dual-Modality Watershed Fusion Network for Thyroid Nodule Classification of Dual-View CEUS Video. 220-229 - Lingyu Zhou, Zhang Yi, Kai Zhou, Xiuyuan Xu:
Efficient and Gender-Adaptive Graph Vision Mamba for Pediatric Bone Age Assessment. 230-239 - Zeyi Hou, Ruixin Yan, Ziye Yan, Ning Lang, Xiuzhuang Zhou:
Energy-Based Controllable Radiology Report Generation with Medical Knowledge. 240-250 - Diwei Wang, Kun Yuan, Candice Müller, Frédéric Blanc, Nicolas Padoy, Hyewon Seo:
Enhancing Gait Video Analysis in Neurodegenerative Diseases by Knowledge Augmentation in Vision Language Model. 251-261 - Vishwesh Ramanathan, Pushpak Pati, Matthew McNeil, Anne L. Martel:
Ensemble of Prior-guided Expert Graph Models for Survival Prediction in Digital Pathology. 262-272 - Arunava Chakravarty, Taha Emre, Dmitry A. Lachinov, Antoine Rivail, Hendrik P. N. Scholl, Lars Fritsche, Sobha Sivaprasad, Daniel Rueckert, Andrew J. Lotery, Ursula Schmidt-Erfurth, Hrvoje Bogunovic:
Forecasting Disease Progression with Parallel Hyperplanes in Longitudinal Retinal OCT. 273-283 - Zirui Zhou, Junhao Liang, Zizhao Peng, Chao Fan, Fengwei An, Shiqi Yu:
Gait Patterns as Biomarkers: A Video-Based Approach for Classifying Scoliosis. 284-294 - ZhiPeng Xiang, Shaoguo Cui, Caozhi Shang, Jingfeng Jiang, Liqiang Zhang:
GMoD: Graph-Driven Momentum Distillation Framework with Active Perception of Disease Severity for Radiology Report Generation. 295-305 - Yu Jiang, Zhibin He, Zhihao Peng, Yixuan Yuan:
Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction. 306-316 - Joseph Bae, Saarthak Kapse, Lei Zhou, Kartik Mani, Prateek Prasanna:
HoG-Net: Hierarchical Multi-organ Graph Network for Head and Neck Cancer Recurrence Prediction from CT Images. 317-327 - Muhammad Ridzuan, Mai A. Shaaban, Numan Saeed, Ikboljon Sobirov, Mohammad Yaqub:
HuLP: Human-in-the-Loop for Prognosis. 328-338 - Robert Cobb, Gary J. R. Cook, Andrew J. Reader:
Improved Classification Learning from Highly Imbalanced Multi-label Datasets of Inflamed Joints in [99mTc]Maraciclatide Imaging of Arthritic Patients by Natural Image and Diffusion Model Augmentation. 339-348 - Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi:
Improved Esophageal Varices Assessment from Non-contrast CT Scans. 349-359 - Tiantian Zhang, Manxi Lin, Hongda Guo, Xiaofan Zhang, Ka Fung Peter Chiu, Aasa Feragen, Qi Dou:
Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring. 360-370 - Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng:
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. 371-381 - Yingshu Li, Zhanyu Wang, Yunyi Liu, Lei Wang, Lingqiao Liu, Luping Zhou:
KARGEN: Knowledge-Enhanced Automated Radiology Report Generation Using Large Language Models. 382-392 - Jianxun Yu, Qixin Hu, Meirui Jiang, Yaning Wang, Chin Ting Wong, Jing Wang, Huimao Zhang, Qi Dou:
Language-Enhanced Local-Global Aggregation Network for Multi-organ Trauma Detection. 393-403 - Rachid Zeghlache, Pierre-Henri Conze, Mostafa El Habib Daho, Yihao Li, Hugo Le Boité, Ramin Tadayoni, Pascale Massin, Béatrice Cochener, Alireza Rezaei, Ikram Brahim, Gwenolé Quellec, Mathieu Lamard:
LaTiM: Longitudinal Representation Learning in Continuous-Time Models to Predict Disease Progression. 404-414 - Xiao Liang, Yin Wang, Di Wang, Zhicheng Jiao, Haodi Zhong, Mengyu Yang, Quan Wang:
Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering. 415-425 - Yuchen Sun, Kunwei Li, Duanduan Chen, Yi Hu, Shuaitong Zhang:
LOMIA-T: A Transformer-Based LOngitudinal Medical Image Analysis Framework for Predicting Treatment Response of Esophageal Cancer. 426-436 - Batuhan K. Karaman, Katerina Dodelzon, Gözde Bozdagi Akar, Mert R. Sabuncu:
Longitudinal Mammogram Risk Prediction. 437-446 - Xinrui Yuan, Jiale Cheng, Dan Hu, Zhengwang Wu, Li Wang, Weili Lin, Gang Li:
Longitudinally Consistent Individualized Prediction of Infant Cortical Morphological Development. 447-457 - Song Zhang, Siyao Du, Caixia Sun, Bao Li, Lizhi Shao, Lina Zhang, Kun Wang, Zhenyu Liu, Jie Tian:
M2Fusion: Multi-time Multimodal Fusion for Prediction of Pathological Complete Response in Breast Cancer. 458-468 - Chengyu Wu, Chengkai Wang, Huiyu Zhou, Yatao Zhang, Qifeng Wang, Yaqi Wang, Shuai Wang:
MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer. 469-479 - Qishen Chen, Minjie Bian, Huahu Xu:
MMQL: Multi-Question Learning for Medical Visual Question Answering. 480-489 - Lifan Long, Jiaqi Cui, Pinxian Zeng, Yilun Li, Yuanjun Liu, Yan Wang:
MuGI: Multi-Granularity Interactions of Heterogeneous Biomedical Data for Survival Prediction. 490-500 - Linhao Qu, Dan Huang, Shaoting Zhang, Xiaosong Wang:
Multi-modal Data Binding for Survival Analysis Modeling with Incomplete Data and Annotations. 501-510 - Jaeyoon Sim, Minjae Lee, Guorong Wu, Won Hwa Kim:
Multi-modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification. 511-521 - Zicheng Xiong, Kai Zhao, Like Ji, Xujun Shu, Dazhi Long, Shengbo Chen, Fuxing Yang:
Multi-modality 3D CNN Transformer for Assisting Clinical Decision in Intracerebral Hemorrhage. 522-531 - Yechan Hwang, Soojin Hwang, Guorong Wu, Won Hwa Kim:
Multi-order Simplex-Based Graph Neural Network for Brain Network Analysis. 532-541 - Junsik Kim, Zhiyi Shi, Davin Jeong, Johannes Knittel, Helen Y. Yang, Yonghyun Song, Wanhua Li, Yicong Li, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister:
Multimodal Learning for Embryo Viability Prediction in Clinical IVF. 542-552 - Min Cen, Zheng Wang, Zhenfeng Zhuang, Hong Zhang, Dan Su, Zhen Bao, Weiwei Wei, Baptiste Magnier, Lequan Yu, Liansheng Wang:
ORCGT: Ollivier-Ricci Curvature-Based Graph Model for Lung STAS Prediction. 553-563 - Yinsong Xu, Yipei Wang, Ziyi Shen, Iani J. M. B. Gayo, Natasha Thorley, Shonit Punwani, Aidong Men, Dean C. Barratt, Qingchao Chen, Yipeng Hu:
Poisson Ordinal Network for Gleason Group Estimation Using Bi-Parametric MRI. 564-574 - Yilin Tang, Min Zhang, Jun Feng:
RDD-Net: Randomized Joint Data-Feature Augmentation and Deep-Shallow Feature Fusion Networks for Automated Diagnosis of Glaucoma. 575-584 - Ka-Wai Yung, Jayaram Sivaraj, Danail Stoyanov, Stavros Loukogeorgakis, Evangelos B. Mazomenos:
Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm. 585-594 - Kechun Liu, Wenjun Wu, Joann G. Elmore, Linda G. Shapiro:
Semantics-Aware Attention Guidance for Diagnosing Whole Slide Images. 595-605 - Xinquan Yang, Xuguang Li, Xiaoling Luo, Leilei Zeng, Yudi Zhang, Linlin Shen, Yongqiang Deng:
Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network. 606-615 - Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin:
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. 616-626 - Mingyuan Liu, Lu Xu, Shengnan Liu, Jicong Zhang:
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis. 627-637 - Zerui Zhang, Zhichao Sun, Zelong Liu, Zhou Zhao, Rui Yu, Bo Du, Yongchao Xu:
Spatial-Aware Attention Generative Adversarial Network for Semi-supervised Anomaly Detection in Medical Image. 638-648 - Zilin Lu, Yutong Xie, Qingjie Zeng, Mengkang Lu, Qi Wu, Yong Xia:
Spot the Difference: Difference Visual Question Answering with Residual Alignment. 649-658 - Numan Saeed, Muhammad Ridzuan, Fadillah Adamsyah Maani, Hussain Alasmawi, Karthik Nandakumar, Mohammad Yaqub:
SurvRNC: Learning Ordered Representations for Survival Prediction Using Rank-N-Contrast. 659-669 - Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek:
TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. 670-680 - Yuanjiang Luo, Hongxiang Li, Xuan Wu, Meng Cao, Xiaoshuang Huang, Zhihong Zhu, Peixi Liao, Hu Chen, Yi Zhang:
Textual Inversion and Self-supervised Refinement for Radiology Report Generation. 681-691 - Tianxiang Huang, Jing Shi, Ge Jin, Juncheng Li, Jun Wang, Jun Du, Jun Shi:
Topological GCN for Improving Detection of Hip Landmarks from B-Mode Ultrasound Images. 692-701 - Yisheng Zhao, Huaiyu Zhu, Qi Shu, Ruohong Huan, Shuohui Chen, Yun Pan:
Towards a Deeper Insight Into Face Detection in Neonatal Wards. 702-712 - Richard Osuala, Daniel M. Lang, Preeti Verma, Smriti Joshi, Apostolia Tsirikoglou, Grzegorz Skorupko, Kaisar Kushibar, Lidia Garrucho, Walter H. L. Pinaya, Oliver Díaz, Julia A. Schnabel, Karim Lekadir:
Towards Learning Contrast Kinetics with Multi-condition Latent Diffusion Models. 713-723 - Hong Wu, Juan Fu, Hongsheng Ye, Yuming Zhong, Xuebin Zou, Jianhua Zhou, Yi Wang:
Towards Multi-modality Fusion and Prototype-Based Feature Refinement for Clinically Significant Prostate Cancer Classification in Transrectal Ultrasound. 724-733 - Juncheng Guo, Jianxin Lin, Guanghua Tan, Yuhuan Lu, Zhan Gao, Shengli Li, Kenli Li:
Unsupervised Ultrasound Image Quality Assessment with Score Consistency and Relativity Co-learning. 734-743 - Xiaotong Xie, Yufeng Ye, Tingting Yang, Bin Huang, Bingsheng Huang, Yi Huang:
VDPF: Enhancing DVT Staging Performance Using a Global-Local Feature Fusion Network. 744-753 - Alberto Mario Ceballos-Arroyo, Hieu T. Nguyen, Fangrui Zhu, Shrikanth M. Yadav, Jisoo Kim, Lei Qin, Geoffrey Young, Huaizu Jiang:
Vessel-Aware Aneurysm Detection Using Multi-scale Deformable 3D Attention. 754-765
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