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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part XI
- 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 XI. Lecture Notes in Computer Science 15011, Springer 2024, ISBN 978-3-031-72119-9
Machine Learning - Efficient Learning Strategies I
- Chinmay Prabhakar, Suprosanna Shit, Fabio Musio, Kaiyuan Yang, Tamaz Amiranashvili, Johannes C. Paetzold, Hongwei Bran Li, Bjoern H. Menze:
3D Vessel Graph Generation Using Denoising Diffusion. 3-13 - Zaid Ilyas, Afsah Saleem, David Suter, John T. Schousboe, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani:
A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images. 14-25 - Nafie El Amrani, Dongliang Cao, Florian Bernard:
A Universal and Flexible Framework for Unsupervised Statistical Shape Model Learning. 26-36 - Bidur Khanal, Tianhong Dai, Binod Bhattarai, Cristian A. Linte:
Active Label Refinement for Robust Training of Imbalanced Medical Image Classification Tasks in the Presence of High Label Noise. 37-47 - Siteng Ma, Honghui Du, Kathleen M. Curran, Aonghus Lawlor, Ruihai Dong:
Adaptive Curriculum Query Strategy for Active Learning in Medical Image Classification. 48-57 - Yanwu Yang, Hairui Chen, Jiesi Hu, Xutao Guo, Ting Ma:
Advancing Brain Imaging Analysis Step-by-Step via Progressive Self-paced Learning. 58-68 - Yuetan Chu, Changchun Yang, Gongning Luo, Zhaowen Qiu, Xin Gao:
Anatomic-Constrained Medical Image Synthesis via Physiological Density Sampling. 69-79 - Qingqiu Li, Xiaohan Yan, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng, Quanli Shen, Xiaobo Zhang, Shujun Wang:
Anatomical Structure-Guided Medical Vision-Language Pre-training. 80-90 - Jiaxuan Pang, Dongao Ma, Ziyu Zhou, Michael B. Gotway, Jianming Liang:
ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-Grained Appearance for CT Images. 91-101 - Ankita Raj, Harsh Swaika, Deepankar Varma, Chetan Arora:
Assessing Risk of Stealing Proprietary Models for Medical Imaging Tasks. 102-112 - Yuqi Fang, Wei Wang, Qianqian Wang, Hong-Jun Li, Mingxia Liu:
Attention-Enhanced Fusion of Structural and Functional MRI for Analyzing HIV-Associated Asymptomatic Neurocognitive Impairment. 113-123 - Yinda Chen, Che Liu, Xiaoyu Liu, Rossella Arcucci, Zhiwei Xiong:
BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval. 124-134 - Julia Wolleb, Florentin Bieder, Paul Friedrich, Peter Zhang, Alicia Durrer, Philippe C. Cattin:
Binary Noise for Binary Tasks: Masked Bernoulli Diffusion for Unsupervised Anomaly Detection. 135-145 - Xiang Li, Huihui Fang, Changmiao Wang, Mingsi Liu, Lixin Duan, Yanwu Xu:
Cache-Driven Spatial Test-Time Adaptation for Cross-Modality Medical Image Segmentation. 146-156 - Kaiwen Wan, Bomin Wang, Fuping Wu, Haiyu Gong, Xiahai Zhuang:
Context-Guided Continual Reinforcement Learning for Landmark Detection with Incomplete Data. 157-166 - Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
Cross Prompting Consistency with Segment Anything Model for Semi-supervised Medical Image Segmentation. 167-177 - Fei Gao, Siwen Wang, Fandong Zhang, Hong-Yu Zhou, Yizhou Wang, Churan Wang, Gang Yu, Yizhou Yu:
Cross-dimensional Medical Self-supervised Representation Learning Based on a Pseudo-3D Transformation. 178-188 - Tajamul Ashraf, Krithika Rangarajan, Mohit Gambhir, Richa Gauba, Chetan Arora:
D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms. 189-199 - Oleksandra Tmenova, Yordanka Velikova, Mahdi Saleh, Nassir Navab:
Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation. 200-210 - Cosmin I. Bercea, Benedikt Wiestler, Daniel Rueckert, Julia A. Schnabel:
Diffusion Models with Implicit Guidance for Medical Anomaly Detection. 211-220 - Xiang Li, Huihui Fang, Mingsi Liu, Yanwu Xu, Lixin Duan:
Diffusion-Enhanced Transformation Consistency Learning for Retinal Image Segmentation. 221-231 - Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Disease-Informed Adaptation of Vision-Language Models. 232-242 - Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. 243-253 - Zhuoyi Li, Wenjun Li, Ning Zhu, Junwei Han, Tianming Liu, Beibei Chen, Zhiqiang Yan, Tuo Zhang:
Epileptic Seizure Detection in SEEG Signals Using a Unified Multi-Scale Temporal-Spatial-Spectral Transformer Model. 254-264 - Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang, Xiang Li, Tianming Liu, Junwei Han, Tuo Zhang, Yixuan Yuan:
F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction. 265-275 - Yimin Zhao, Jin Gu:
Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition. 276-285 - Xinyao Wu, Zhe Xu, Raymond Kai-Yu Tong:
Few Slices Suffice: Multi-faceted Consistency Learning with Active Cross-Annotation for Barely-Supervised 3D Medical Image Segmentation. 286-296 - Juzheng Miao, Cheng Chen, Keli Zhang, Jie Chuai, Quanzheng Li, Pheng-Ann Heng:
FM-OSD: Foundation Model-Enabled One-Shot Detection of Anatomical Landmarks. 297-307 - Zeyu Liu, Tianyi Zhang, Yufang He, Guanglei Zhang:
Generating Progressive Images from Pathological Transitions Via Diffusion Model. 308-318 - Abdoul-aziz Amadou, Vivek Singh, Florin C. Ghesu, Young-Ho Kim, Laura Stanciulescu, Harshitha P. Sai, Puneet Sharma, Alistair A. Young, Ronak Rajani, Kawal S. Rhode:
Goal-Conditioned Reinforcement Learning for Ultrasound Navigation Guidance. 319-329 - Fenghe Tang, Ronghao Xu, Qingsong Yao, Xueming Fu, Quan Quan, Heqin Zhu, Zaiyi Liu, S. Kevin Zhou:
HySparK: Hybrid Sparse Masking for Large Scale Medical Image Pre-training. 330-340 - Zhan Shi, Jingwei Zhang, Jun Kong, Fusheng Wang:
Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification. 341-350 - Guoning Zhang, Xiaoran Qi, Bo Yan, Guotai Wang:
IPLC: Iterative Pseudo Label Correction Guided by SAM for Source-Free Domain Adaptation in Medical Image Segmentation. 351-360 - Edward Wang, Ryan Au, Pencilla Lang, Sarah A. Mattonen:
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans. 361-371 - Shinnosuke Matsuo, Daiki Suehiro, Seiichi Uchida, Hiroaki Ito, Kazuhiro Terada, Akihiko Yoshizawa, Ryoma Bise:
Learning from Partial Label Proportions for Whole Slide Image Segmentation. 372-382 - Weihao Weng, Xin Zhu:
Learning Representations by Maximizing Mutual Information Across Views for Medical Image Segmentation. 383-393 - Finn Behrendt, Debayan Bhattacharya, Robin Mieling, Lennart Maack, Julia Krüger, Roland Opfer, Alexander Schlaefer:
Leveraging the Mahalanobis Distance to Enhance Unsupervised Brain MRI Anomaly Detection. 394-404 - Qiangguo Jin, Jiapeng Huang, Changming Sun, Hui Cui, Ping Xuan, Ran Su, Leyi Wei, Yu-Jie Wu, Chia-An Wu, Henry B. L. Duh, Yueh-Hsun Lu:
Location Embedding Based Pairwise Distance Learning for Fine-Grained Diagnosis of Urinary Stones. 405-414 - Tianhong Gao, Jie Song, Xiaotian Yu, Shengxuming Zhang, Wenjie Liang, Hongbin Zhang, Ziqian Li, Wenzhuo Zhang, Xiuming Zhang, Zipeng Zhong, Mingli Song, Zunlei Feng:
Loose Lesion Location Self-supervision Enhanced Colorectal Cancer Diagnosis. 415-425 - Shreyank N. Gowda, David A. Clifton:
Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring. 426-436 - Yifan Gao, Wei Xia, Wenkui Wang, Xin Gao:
MBA-Net: SAM-Driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation. 437-447 - G. Jignesh Chowdary, Zhaozheng Yin:
Med-Former: A Transformer Based Architecture for Medical Image Classification. 448-457 - Ximiao Zhang, Min Xu, Dehui Qiu, Ruixin Yan, Ning Lang, Xiuzhuang Zhou:
MediCLIP: Adapting CLIP for Few-Shot Medical Image Anomaly Detection. 458-468 - Xinyu Liu, Zhen Chen, Yixuan Yuan:
MOST: Multi-formation Soft Masking for Semi-supervised Medical Image Segmentation. 469-480 - Luyi Han, Tao Tan, Tianyu Zhang, Xin Wang, Yuan Gao, Chunyao Lu, Xinglong Liang, Haoran Dou, Yunzhi Huang, Ritse Mann:
Non-adversarial Learning: Vector-Quantized Common Latent Space for Multi-sequence MRI. 481-491 - Along He, Tao Li, Yitian Zhao, Junyong Zhao, Huazhu Fu:
Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter. 492-501 - Samuel I. Adams-Tew, Henrik Odéen, Dennis L. Parker, Cheng-Chieh Cheng, Bruno Madore, Allison Payne, Sarang C. Joshi:
Physics Informed Neural Networks for Estimation of Tissue Properties from Multi-echo Configuration State MRI. 502-511 - Zijian Dong, Yilei Wu, Zijiao Chen, Yichi Zhang, Yueming Jin, Juan Helen Zhou:
Prompt Your Brain: Scaffold Prompt Tuning for Efficient Adaptation of fMRI Pre-trained Model. 512-521 - Qingjie Zeng, Zilin Lu, Yutong Xie, Mengkang Lu, Xinke Ma, Yong Xia:
Reciprocal Collaboration for Semi-supervised Medical Image Classification. 522-532 - Yuhang Zhou, Siyuan Du, Haolin Li, Jiangchao Yao, Ya Zhang, Yanfeng Wang:
Reprogramming Distillation for Medical Foundation Models. 533-543 - Yu Cai, Hao Chen, Kwang-Ting Cheng:
Rethinking Autoencoders for Medical Anomaly Detection from A Theoretical Perspective. 544-554 - Xian Lin, Zhehao Wang, Zengqiang Yan, Li Yu:
Revisiting Self-attention in Medical Transformers via Dependency Sparsification. 555-566 - Pengyu Dai, Yafei Ou, Yuqiao Yang, Dichao Liu, Masahiro Hashimoto, Masahiro Jinzaki, Mototaka Miyake, Kenji Suzuki:
SaSaMIM: Synthetic Anatomical Semantics-Aware Masked Image Modeling for Colon Tumor Segmentation in Non-contrast Abdominal Computed Tomography. 567-578 - Jiaxiang Ren, Zhenghong Li, Wensheng Cheng, Zhilin Zou, Kicheon Park, Yingtian Pan, Haibin Ling:
Self-supervised 3D Skeleton Completion for Vascular Structures. 579-589 - Junchi Li, Guojia Wan, Minghui Liao, Fei Liao, Bo Du:
Self-supervised Contrastive Graph Views for Learning Neuron-Level Circuit Network. 590-600 - Zhenghong Li, Jiaxiang Ren, Zhilin Zou, Kalyan Garigapati, Congwu Du, Yingtian Pan, Haibin Ling:
Self-supervised Denoising and Bulk Motion Artifact Removal of 3D Optical Coherence Tomography Angiography of Awake Brain. 601-611 - Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu, Zhiyun Song, Qian Wang, Lichi Zhang:
Self-supervised Learning with Adaptive Graph Structure and Function Representation for Cross-Dataset Brain Disorder Diagnosis. 612-622 - Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu, Ke Yan, Le Lu, Xianghua Ye, Li Zhang, Qifeng Wang, Dakai Jin:
Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion. 623-633 - Eunjin Kim, Gitaek Kwon, Jaeyoung Kim, Hyunjin Park:
Semi-supervised Segmentation Through Rival Networks Collaboration with Saliency Map in Diabetic Retinopathy. 634-644 - Xinghua Ma, Mingye Zou, Xinyan Fang, Yang Liu, Gongning Luo, Wei Wang, Kuanquan Wang, Zhaowen Qiu, Xin Gao, Shuo Li:
Spatio-Temporal Contrast Network for Data-Efficient Learning of Coronary Artery Disease in Coronary CT Angiography. 645-655 - Chengzhi Shen, Martin J. Menten, Hrvoje Bogunovic, Ursula Schmidt-Erfurth, Hendrik P. N. Scholl, Sobha Sivaprasad, Andrew J. Lotery, Daniel Rueckert, Paul Hager, Robbie Holland:
Spatiotemporal Representation Learning for Short and Long Medical Image Time Series. 656-666 - Shuxian Wang, Akshay Paruchuri, Zhaoxi Zhang, Sarah McGill, Roni Sengupta:
Structure-Preserving Image Translation for Depth Estimation in Colonoscopy. 667-677 - Sion An, Myeongkyun Kang, Soopil Kim, Philip Chikontwe, Li Shen, Sang Hyun Park:
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification. 678-688 - Shuangchun Gui, Zhenkun Wang:
Tail-Enhanced Representation Learning for Surgical Triplet Recognition. 689-699 - Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang, Xuyun Wen:
TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. 700-710 - Yiming Zhao, Yi Zhou, Yizhe Zhang, Ye Wu, Tao Zhou:
TextPolyp: Point-Supervised Polyp Segmentation with Text Cues. 711-722 - Jinghan Huang, Nanguang Chen, Anqi Qiu:
Topological Cycle Graph Attention Network for Brain Functional Connectivity. 723-732 - Javier Morlana, Juan D. Tardós, José M. M. Montiel:
Topological SLAM in Colonoscopies Leveraging Deep Features and Topological Priors. 733-743 - Roman Naeem, David Hagerman, Lennart Svensson, Fredrik Kahl:
Trexplorer: Recurrent DETR for Topologically Correct Tree Centerline Tracking. 744-754 - Daniel Reisenbüchler, Lucas Luttner, Nadine S. Schaadt, Friedrich Feuerhake, Dorit Merhof:
Unsupervised Latent Stain Adaptation for Computational Pathology. 755-765 - Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert:
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. 766-777 - Yifan Liu, Wuyang Li, Cheng Wang, Hui Chen, Yixuan Yuan:
When 3D Partial Points Meets SAM: Tooth Point Cloud Segmentation with Sparse Labels. 778-788 - Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang, Daoqiang Zhang, Xuyun Wen:
WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. 789-799
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