Abstract is missing.
- PET-Diffusion: Unsupervised PET Enhancement Based on the Latent Diffusion ModelCaiwen Jiang, Yongsheng Pan, Mianxin Liu, Lei Ma 0006, Xiao Zhang, Jiameng Liu, Xiaosong Xiong, Dinggang Shen. 3-12 [doi]
- MedIM: Boost Medical Image Representation via Radiology Report-Guided MaskingYutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia 0001, Qi Wu 0001. 13-23 [doi]
- UOD: Universal One-Shot Detection of Anatomical LandmarksHeqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou. 24-34 [doi]
- 2ME: Spatial-Spectral Mutual Teaching and Ensemble Learning for Scribble-Supervised Polyp Segmentationan Wang, Mengya Xu, Yang Zhang, Mobarakol Islam, Hongliang Ren 0001. 35-45 [doi]
- Modularity-Constrained Dynamic Representation Learning for Interpretable Brain Disorder Analysis with Functional MRIQianqian Wang, Mengqi Wu, Yuqi Fang, Wei Wang, Lishan Qiao, Ming-Xia Liu 0001. 46-56 [doi]
- Anatomy-Driven Pathology Detection on Chest X-raysPhilip Müller, Felix Meissen, Johannes Brandt, Georgios Kaissis, Daniel Rueckert. 57-66 [doi]
- VesselVAE: Recursive Variational Autoencoders for 3D Blood Vessel SynthesisPaula Feldman, Miguel Fainstein, Viviana Siless, Claudio Delrieux, Emmanuel Iarussi. 67-76 [doi]
- Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact ReductionWangduo Xie, Matthew B. Blaschko. 77-86 [doi]
- Multi-scale Cross-restoration Framework for Electrocardiogram Anomaly DetectionAofan Jiang, Chaoqin Huang, Qing Cao, Shuang Wu, Zi Zeng, Kang Chen, Ya Zhang, Yanfeng Wang. 87-97 [doi]
- Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationShengbo Gao, Ziji Zhang, Jiechao Ma, Zihao Li, Shu Zhang 0001. 98-108 [doi]
- TPRO: Text-Prompting-Based Weakly Supervised Histopathology Tissue SegmentationShaoteng Zhang, Jianpeng Zhang, Yutong Xie, Yong Xia 0001. 109-118 [doi]
- Additional Positive Enables Better Representation Learning for Medical ImagesDewen Zeng, Yawen Wu, Xinrong Hu, Xiaowei Xu 0004, Jingtong Hu, Yiyu Shi 0001. 119-129 [doi]
- Multi-modal Semi-supervised Evidential Recycle Framework for Alzheimer's Disease ClassificationYingjie Feng, Wei Chen, Xianfeng Gu, Xiaoyin Xu, Min Zhang. 130-140 [doi]
- 3D Arterial Segmentation via Single 2D Projections and Depth Supervision in Contrast-Enhanced CT ImagesAlina F. Dima, Veronika A. Zimmer, Martin J. Menten, Hongwei Bran Li, Markus Graf, Tristan Lemke, Philipp Raffler, Robert Graf, Jan S. Kirschke, Rickmer Braren, Daniel Rueckert. 141-151 [doi]
- Automatic Retrieval of Corresponding US Views in Longitudinal ExaminationsHamideh Kerdegari, Tran Huy Nhat Phung, Nguyen Van Hao, Thi Phuong Thao Truong, Ngoc Minh Thu Le, Thanh Phuong Le, Thi Mai Thao Le, Luigi Pisani, Linda Denehy, Reza Razavi, Louise Thwaites, Sophie Yacoub, Andrew P. King, Alberto Gómez 0002. 152-161 [doi]
- Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic TasksMatthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz. 162-172 [doi]
- AME-CAM: Attentive Multiple-Exit CAM for Weakly Supervised Segmentation on MRI Brain TumorYu-Jen Chen, Xinrong Hu, Yiyu Shi 0001, Tsung-Yi Ho. 173-182 [doi]
- Cross-Adversarial Local Distribution Regularization for Semi-supervised Medical Image SegmentationThanh Nguyen-Duc, Trung Le, Roland Bammer, He Zhao 0001, Jianfei Cai 0001, Dinh Q. Phung. 183-194 [doi]
- AMAE: Adaptation of Pre-trained Masked Autoencoder for Dual-Distribution Anomaly Detection in Chest X-RaysBehzad Bozorgtabar, Dwarikanath Mahapatra, Jean-Philippe Thiran. 195-205 [doi]
- Gall Bladder Cancer Detection from US Images with only Image Level LabelsSoumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta 0005, Chetan Arora 0001. 206-215 [doi]
- Dual Conditioned Diffusion Models for Out-of-Distribution Detection: Application to Fetal Ultrasound VideosDivyanshu Mishra, He Zhao 0002, Pramit Saha, Aris T. Papageorghiou, J. Alison Noble. 216-226 [doi]
- Weakly-Supervised Positional Contrastive Learning: Application to Cirrhosis ClassificationEmma Sarfati, Alexandre Bône, Marc-Michel Rohé, Pietro Gori, Isabelle Bloch. 227-237 [doi]
- Inter-slice Consistency for Unpaired Low-Dose CT Denoising Using Boosted Contrastive LearningJie Jing, Tao Wang, Hui Yu, Zexin Lu, Yi Zhang. 238-247 [doi]
- DAS-MIL: Distilling Across Scales for MIL Classification of Histological WSIsGianpaolo Bontempo, Angelo Porrello, Federico Bolelli, Simone Calderara, Elisa Ficarra. 248-258 [doi]
- SLPD: Slide-Level Prototypical Distillation for WSIsZhimiao Yu, Tiancheng Lin 0001, Yi Xu 0001. 259-269 [doi]
- PET Image Denoising with Score-Based Diffusion Probabilistic ModelsChenyu Shen, Ziyuan Yang, Yi Zhang. 270-278 [doi]
- LSOR: Longitudinally-Consistent Self-Organized Representation LearningJiahong Ouyang, Qingyu Zhao, Ehsan Adeli 0001, Wei Peng, Greg Zaharchuk, Kilian M. Pohl. 279-289 [doi]
- Self-supervised Learning for Physiologically-Based Pharmacokinetic Modeling in Dynamic PETFrancesca De Benetti, Walter Simson, Magdalini Paschali, Hasan Sari, Axel Rominger, Kuangyu Shi, Nassir Navab, Thomas Wendler 0001. 290-299 [doi]
- Geometry-Invariant Abnormality DetectionAshay Patel, Petru-Daniel Tudosiu, Walter Hugo Lopez Pinaya, Olusola Adeleke, Gary J. Cook, Vicky Goh, Sébastien Ourselin, M. Jorge Cardoso. 300-309 [doi]
- Modeling Alzheimers' Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain NetworksWei Liang, Kai Zhang, Peng Cao 0001, Pengfei Zhao, Xiaoli Liu 0001, Jinzhu Yang, Osmar R. Zaïane. 310-319 [doi]
- Unsupervised Discovery of 3D Hierarchical Structure with Generative Diffusion FeaturesNurislam Tursynbek, Marc Niethammer. 320-330 [doi]
- Domain Adaptation for Medical Image Segmentation Using Transformation-Invariant Self-trainingNegin Ghamsarian, Javier Gamazo Tejero, Pablo Márquez-Neila, Sebastian Wolf 0005, Martin Zinkernagel, Klaus Schoeffmann, Raphael Sznitman. 331-341 [doi]
- Multi-IMU with Online Self-consistency for Freehand 3D Ultrasound ReconstructionMingyuan Luo, Xin Yang 0009, Zhongnuo Yan, Junyu Li, Yuanji Zhang, Jiongquan Chen, Xindi Hu, Jikuan Qian, Jun Cheng, Dong Ni 0001. 342-351 [doi]
- Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image RecognitionQingbo Kang, Jun Gao, Kang Li 0004, Qicheng Lao. 352-362 [doi]
- You've Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-RayJinghan Sun, Dong Wei 0004, Zhe Xu, Donghuan Lu, Hong Liu, Liansheng Wang, Yefeng Zheng 0001. 363-373 [doi]
- Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question AnsweringPengfei Li, Gang Liu, Jinlong He, Zixu Zhao, Shenjun Zhong. 374-383 [doi]
- CL-ADDA: Contrastive Learning with Amplitude-Driven Data Augmentation for fMRI-Based Individualized PredictionsJiangcong Liu, Le Xu, Yun Guan, Hao Ma, Lixia Tian. 384-393 [doi]
- An Auto-Encoder to Reconstruct Structure with Cryo-EM Images via Theoretically Guaranteed Isometric Latent Space, and Its Application for Automatically Computing the Conformational PathwayKimihiro Yamazaki, Yuichiro Wada, Atsushi Tokuhisa, Mutsuyo Wada, Takashi Katoh, Yuhei Umeda, Yasushi Okuno, Akira Nakagawa. 394-404 [doi]
- Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-trainingXiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li 0001, Guanyu Yang. 405-415 [doi]
- A Small-Sample Method with EEG Signals Based on Abductive Learning for Motor Imagery DecodingTianyang Zhong, Xiaozheng Wei, Enze Shi, Jiaxing Gao, Chong Ma, Yaonai Wei, Songyao Zhang, Lei Guo 0002, Junwei Han, Tianming Liu, Tuo Zhang. 416-424 [doi]
- Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging ModalitiesAna Lawry Aguila, James Chapman 0006, André Altmann. 425-434 [doi]
- LOTUS: Learning to Optimize Task-Based US RepresentationsYordanka Velikova, Mohammad Farid Azampour, Walter Simson, Vanessa Gonzalez Duque, Nassir Navab. 435-445 [doi]
- Unsupervised 3D Out-of-Distribution Detection with Latent Diffusion ModelsMark S. Graham, Walter Hugo Lopez Pinaya, Paul Wright, Petru-Daniel Tudosiu, Yee H. Mah, James T. Teo, Hans Rolf Jäger, David Werring, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso. 446-456 [doi]
- Improved Multi-shot Diffusion-Weighted MRI with Zero-Shot Self-supervised Learning ReconstructionJaejin Cho, Yohan Jun, Xiaoqing Wang, Caique Kobayashi, Berkin Bilgic. 457-466 [doi]
- Infusing Physically Inspired Known Operators in Deep Models of Ultrasound ElastographyAli Kafaei Zad Tehrani, Hassan Rivaz. 467-476 [doi]
- Weakly Supervised Lesion Localization of Nascent Geographic Atrophy in Age-Related Macular DegenerationHeming Yao, Adam Pely, Zhichao Wu, Simon S. Gao, Robyn H. Guymer, Hao Chen, Mohsen Hejrati, Miao Zhang. 477-485 [doi]
- Can Point Cloud Networks Learn Statistical Shape Models of Anatomies?Jadie Adams, Shireen Y. Elhabian. 486-496 [doi]
- CT-Guided, Unsupervised Super-Resolution Reconstruction of Single 3D Magnetic Resonance ImageJiale Wang, Alexander F. Heimann, Moritz Tannast, Guoyan Zheng. 497-507 [doi]
- Image2SSM: Reimagining Statistical Shape Models from Images with Radial Basis FunctionsHong Xu, Shireen Y. Elhabian. 508-517 [doi]
- MDA-SR: Multi-level Domain Adaptation Super-Resolution for Wireless Capsule Endoscopy ImagesTianbao Liu, Zefeiyun Chen, Qingyuan Li, Yusi Wang, Ke Zhou, Weijie Xie, Yuxin Fang, Kaiyi Zheng, Zhanpeng Zhao, Side Liu, Wei Yang 0006. 518-527 [doi]
- PROnet: Point Refinement Using Shape-Guided Offset Map for Nuclei Instance SegmentationSiwoo Nam, Jaehoon Jeong, Miguel Luna, Philip Chikontwe, Sanghyun Park 0004. 528-538 [doi]
- Self-Supervised Domain Adaptive Segmentation of Breast Cancer via Test-Time Fine-TuningKyungsu Lee, Haeyun Lee, Georges El Fakhri, Jonghye Woo, Jae Youn Hwang. 539-550 [doi]
- Decoupled Consistency for Semi-supervised Medical Image SegmentationFaquan Chen, Jingjing Fei, Yaqi Chen, Chenxi Huang. 551-561 [doi]
- Combating Medical Label Noise via Robust Semi-supervised Contrastive LearningBingzhi Chen, Zhanhao Ye, Yishu Liu, Zheng Zhang 0006, Jiahui Pan, Biqing Zeng, Guangming Lu. 562-572 [doi]
- Multi-scale Self-Supervised Learning for Longitudinal Lesion Tracking with Optional SupervisionAnamaria Vizitiu, Antonia T. Mohaiu, Ioan M. Popdan, Abishek Balachandran, Florin C. Ghesu, Dorin Comaniciu. 573-582 [doi]
- Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in EndoscopyOscar León Barbed, José M. M. Montiel, Pascal Fua, Ana C. Murillo. 583-593 [doi]
- Structured State Space Models for Multiple Instance Learning in Digital PathologyLeo Fillioux, Joseph Boyd, Maria Vakalopoulou, Paul-Henry Cournède, Stergios Christodoulidis. 594-604 [doi]
- vox2vec: A Framework for Self-supervised Contrastive Learning of Voxel-Level Representations in Medical ImagesMikhail Goncharov, Vera Soboleva, Anvar Kurmukov, Maxim Pisov, Mikhail Belyaev. 605-614 [doi]
- Mesh2SSM: From Surface Meshes to Statistical Shape Models of AnatomyKrithika Iyer, Shireen Y. Elhabian. 615-625 [doi]
- Graph Convolutional Network with Morphometric Similarity Networks for Schizophrenia ClassificationHye Won Park, Seo Yeong Kim, Won-Hee Lee. 626-636 [doi]
- M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry OptimizationChe Liu, Sibo Cheng, Chen Chen 0042, Mengyun Qiao, Weitong Zhang, Anand Shah, Wenjia Bai, Rossella Arcucci. 637-647 [doi]
- Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust PerformanceDongao Ma, Jiaxuan Pang, Michael B. Gotway, Jianming Liang. 651-662 [doi]
- Masked Frequency Consistency for Domain-Adaptive Semantic Segmentation of Laparoscopic ImagesXinkai Zhao, Yuichiro Hayashi, Masahiro Oda, Takayuki Kitasaka, Kensaku Mori. 663-673 [doi]
- Pick the Best Pre-trained Model: Towards Transferability Estimation for Medical Image SegmentationYuncheng Yang, Meng Wei, Junjun He, Jie Yang, Jin Ye, Yun Gu. 674-683 [doi]
- Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean TeacherLongxiang Tang, Kai Li, Chunming He, Yulun Zhang, Xiu Li. 684-694 [doi]
- Unsupervised Domain Adaptation for Anatomical Landmark DetectionHaibo Jin, Haoxuan Che, Hao Chen. 695-705 [doi]
- MetaLR: Meta-tuning of Learning Rates for Transfer Learning in Medical ImagingYixiong Chen, Li Liu 0036, Jingxian Li, Hua Jiang, Chris Ding, Zongwei Zhou. 706-716 [doi]
- Multi-Target Domain Adaptation with Prompt Learning for Medical Image SegmentationYili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen. 717-727 [doi]
- Spectral Adversarial MixUp for Few-Shot Unsupervised Domain AdaptationJiajin Zhang, Hanqing Chao, Amit Dhurandhar, Pin-Yu Chen, Ali Tajer, Yangyang Xu, Pingkun Yan. 728-738 [doi]
- Cross-Dataset Adaptation for Instrument Classification in Cataract Surgery VideosJay N. Paranjape, Shameema Sikder, Vishal M. Patel 0001, S. Swaroop Vedula. 739-748 [doi]
- Black-box Domain Adaptative Cell Segmentation via Multi-source DistillationXingguang Wang, Zhongyu Li, Xiangde Luo, Jing Wan, Jianwei Zhu, Ziqi Yang, Meng Yang, Cunbao Xu. 749-758 [doi]
- MedGen3D: A Deep Generative Framework for Paired 3D Image and Mask GenerationKun Han, Yifeng Xiong, Chenyu You, Pooya Khosravi, Shanlin Sun, Xiangyi Yan, James S. Duncan, Xiaohui Xie. 759-769 [doi]
- Unsupervised Domain Transfer with Conditional Invertible Neural NetworksKris K. Dreher, Leonardo Ayala, Melanie Schellenberg, Marco Hübner, Jan-Hinrich Nölke, Tim J. Adler, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Janek Gröhl, Felix Nickel, Ullrich Köthe, Alexander Seitel, Lena Maier-Hein. 770-780 [doi]