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ORCID27th MICCAI 2024: Marrakesh, Morocco - Part III
- 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 III. Lecture Notes in Computer Science 15003, Springer 2024, ISBN 978-3-031-72383-4
Cross-modal and Translational Imaging, Human-Centered AI
- Yaqi Wang, Leqi Chen, Qingshan Hou, Peng Cao, Jinzhu Yang, Xiaoli Liu, Osmar R. Zaïane:
A Clinical-Oriented Lightweight Network for High-Resolution Medical Image Enhancement. 3-12 - Qingshan Hou, Shuai Cheng, Peng Cao, Jinzhu Yang, Xiaoli Liu, Yih Chung Tham, Osmar R. Zaïane:
A Clinical-Oriented Multi-level Contrastive Learning Method for Disease Diagnosis in Low-Quality Medical Images. 13-23 - Minghao Sun, Tian Zhou, Chenghui Jiang, Xiaodan Lv, Han Yu:
A New Cine-MRI Segmentation Method of Tongue Dorsum for Postoperative Swallowing Function Analysis. 24-34 - Himanshu Aggarwal, Liza Al-Shikhley, Bertrand Thirion:
Across-Subject Ensemble-Learning Alleviates the Need for Large Samples for fMRI Decoding. 35-45 - Xinkai Wang, Yonggang Shi:
Adaptive Subtype and Stage Inference for Alzheimer's Disease. 46-55 - Woojung Han, Chanyoung Kim, Dayun Ju, Yumin Shim, Seong Jae Hwang:
Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning. 56-66 - Yihuang Hu, Qiong Peng, Zhicheng Du, Guojun Zhang, Huisi Wu, Jingxin Liu, Hao Chen, Liansheng Wang:
Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model. 67-76 - Yaxiong Chen, Minghong Wei, Zixuan Zheng, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiaoxiang Zhu, Lichao Mou:
CausalCLIPSeg: Unlocking CLIP's Potential in Referring Medical Image Segmentation with Causal Intervention. 77-87 - Xiaowei Yu, Zihao Wu, Lu Zhang, Jing Zhang, Yanjun Lyu, Dajiang Zhu:
CP-CLIP: Core-Periphery Feature Alignment CLIP for Zero-Shot Medical Image Analysis. 88-97 - Xiaofei Wang, Xingxu Huang, Stephen Price, Chao Li:
Cross-Modal Diffusion Modelling for Super-Resolved Spatial Transcriptomics. 98-108 - Zhengyao Ding, Yujian Hu, Ziyu Li, Hongkun Zhang, Fei Wu, Yilang Xiang, Tian Li, Ziyi Liu, Xuesen Chu, Zhengxing Huang:
Cross-Modality Cardiac Insight Transfer: A Contrastive Learning Approach to Enrich ECG with CMR Features. 109-119 - Souradeep Chakraborty, Rajarsi Gupta, Oksana Yaskiv, Constantin Friedman, Natallia Sheuka, Dana Perez, Paul Friedman, Gregory J. Zelinsky, Joel H. Saltz, Dimitris Samaras:
Decoding the Visual Attention of Pathologists to Reveal Their Level of Expertise. 120-130 - Guoshi Li, Kim-Han Thung, Hoyt Patrick Taylor, Zhengwang Wu, Gang Li, Li Wang, Weili Lin, Sahar Ahmad, Pew-Thian Yap:
Development of Effective Connectome from Infancy to Adolescence. 131-140 - Xuanang Xu, Jungwook Lee, Nathan Lampen, Daeseung Kim, Tianshu Kuang, Hannah H. Deng, Michael A. K. Liebschner, Jaime Gateno, Pingkun Yan:
DiRecT: Diagnosis and Reconstruction Transformer for Mandibular Deformity Assessment. 141-151 - Jin Zhang, Muheng Shang, Yan Yang, Lei Guo, Junwei Han, Lei Du:
Disease Progression Prediction Incorporating Genotype-Environment Interactions: A Longitudinal Neurodegenerative Disorder Study. 152-162 - Lucas Robinet, Ahmad Berjaoui, Ziad Kheil, Elizabeth Moyal Cohen-Jonathan:
DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data. 163-173 - Konstantinos Zormpas-Petridis, Antonio Candito, Christina Messiou, Dow-Mu Koh, Matthew D. Blackledge:
Enhanced-QuickDWI: Achieving Equivalent Clinical Quality by Denoising Heavily Sub-sampled Diffusion-Weighted Imaging Data. 174-183 - Yunsoo Kim, Jinge Wu, Yusuf Abdulle, Yue Gao, Honghan Wu:
Enhancing Human-Computer Interaction in Chest X-Ray Analysis Using Vision and Language Model with Eye Gaze Patterns. 184-194 - Wuyang Li, Xinyu Liu, Qiushi Yang, Yixuan Yuan:
From Static to Dynamic Diagnostics: Boosting Medical Image Analysis via Motion-Informed Generative Videos. 195-205 - Fangliangzi Meng, Hongrun Zhang, Ruodan Yan, Guohui Chuai, Chao Li, Qi Liu:
Genomics-Guided Representation Learning for Pathologic Pan-Cancer Tumor Microenvironment Subtype Prediction. 206-216 - Till N. Schnabel, Yoriko Lill, Benito K. Benitez, Prasad Nalabothu, Philipp Metzler, Andreas A. Müller, Markus Gross, Baran Gözcü, Barbara Solenthaler:
Large-Scale 3D Infant Face Model. 217-227 - Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek:
Let Me DeCode You: Decoder Conditioning with Tabular Data. 228-238 - Kyungwon Kim, Yongmoon Lee, Doohyun Park, Taejoon Eo, Daemyung Youn, Hyesang Lee, Dosik Hwang:
LLM-Guided Multi-modal Multiple Instance Learning for 5-Year Overall Survival Prediction of Lung Cancer. 239-249 - Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu:
Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning. 250-261 - Menghan Zhou, Yanyu Xu, Zhi Da Soh, Huazhu Fu, Rick Siow Mong Goh, Ching-Yu Cheng, Yong Liu, Liangli Zhen:
MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. 262-272 - Zhiyi Shi, Junsik Kim, Wanhua Li, Yicong Li, Hanspeter Pfister:
MoRA: LoRA Guided Multi-modal Disease Diagnosis with Missing Modality. 273-282 - Yunyi Liu, Zhanyu Wang, Yingshu Li, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou:
MRScore: Evaluating Medical Report with LLM-Based Reward System. 283-292 - Shuting Liu, Baochang Zhang, Veronika A. Zimmer, Daniel Rueckert:
Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction. 293-302 - Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng:
Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. 303-313 - Louis-Oscar Morel, Muhammad Muzammel, Nathan Vinçon, Valentin Derangère, Sylvain Ladoire, Jens Rittscher:
MultiVarNet - Predicting Tumour Mutational Status at the Protein Level. 314-324 - Raphaël Meudec, Fateme Ghayem, Jérôme Dockès, Demian Wassermann, Bertrand Thirion:
NeuroConText: Contrastive Text-to-Brain Mapping for Neuroscientific Literature. 325-335 - Abdelmouttaleb Dakri, Vaibhav Arora, Léo Challier, Marilyn Keller, Michael J. Black, Sergi Pujades:
On Predicting 3D Bone Locations Inside the Human Body. 336-346 - Xipeng Pan, Yajun An, Rushi Lan, Zhenbing Liu, Zaiyi Liu, Cheng Lu, Huihua Yang:
PG-MLIF: Multimodal Low-Rank Interaction Fusion Framework Integrating Pathological Images and Genomic Data for Cancer Prognosis Prediction. 347-357 - Anis Bourou, Thomas Boyer, Marzieh Gheisari, Kévin Daupin, Véronique Dubreuil, Aurélie De Thonel, Valérie Mezger, Auguste Genovesio:
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images. 358-367 - Ganping Li, Yoshito Otake, Mazen Soufi, Masachika Masuda, Keisuke Uemura, Masaki Takao, Nobuhiko Sugano, Yoshinobu Sato:
Prediction of Disease-Related Femur Shape Changes Using Geometric Encoding and Clinical Context on a Hip Disease CT Database. 368-378 - Qingbin Wang, Wai Chon Wong, Mi Yin, Yutao Ma:
Prior Activation Map Guided Cervical OCT Image Classification. 379-388 - Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts. 389-399 - Joshua Durso-Finley, Berardino Barile, Jean-Pierre R. Falet, Douglas L. Arnold, Nick Pawlowski, Tal Arbel:
Probabilistic Temporal Prediction of Continuous Disease Trajectories and Treatment Effects Using Neural SDEs. 400-410 - Wen Ma, Huikai Wu, Zikai Xiao, Yang Feng, Jian Wu, Zuozhu Liu:
PX2Tooth: Reconstructing the 3D Point Cloud Teeth from a Single Panoramic X-Ray. 411-421 - Kristine Sørensen, Paula López Diez, Ján Margeta, Yasmin El Youssef, Michael Huy Cuong Pham, Jonas Jalili Pedersen, J. Tobias Kühl, Ole De Backer, Klaus F. Kofoed, Oscar Camara, Rasmus R. Paulsen:
Spatio-Temporal Neural Distance Fields for Conditional Generative Modeling of the Heart. 422-432 - Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao:
Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation. 433-443 - Austin Tapp, Can Zhao, Holger R. Roth, Jeffrey Tanedo, Syed Muhammad Anwar, Niall J. Bourke, Joseph V. Hajnal, Victoria Nankabirwa, Sean C. L. Deoni, Natasha Leporé, Marius George Linguraru:
Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. 444-454 - Shangyan Cai, Weitian Huang, Weiting Yi, Bin Zhang, Yi Liao, Qiu Wang, Hongmin Cai, Luonan Chen, Weifeng Su:
Survival Analysis of Histopathological Image Based on a Pretrained Hypergraph Model of Spatial Transcriptomics Data. 455-466 - Yuning Du, Rohan Dharmakumar, Sotirios A. Tsaftaris:
The MRI Scanner as a Diagnostic: Image-Less Active Sampling. 467-476 - Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund:
Towards Explainable Automated Neuroanatomy. 477-486 - Yidan Feng, Bingchen Gao, Sen Deng, Anqi Qiu, Jing Qin:
Unified Multi-modal Learning for Any Modality Combinations in Alzheimer's Disease Diagnosis. 487-497 - John Kalkhof, Amin Ranem, Anirban Mukhopadhyay:
Unsupervised Training of Neural Cellular Automata on Edge Devices. 498-507 - Yunjie Chen, Jelmer M. Wolterink, Olaf M. Neve, Stephan R. Romeijn, Berit M. Verbist, Erik F. Hensen, Qian Tao, Marius Staring:
Vestibular Schwannoma Growth Prediction from Longitudinal MRI by Time-Conditioned Neural Fields. 508-518 - Nghi Nguyen, Tao Hou, Enrico Amico, Jingyi Zheng, Huajun Huang, Alan D. Kaplan, Giovanni Petri, Joaquín Goñi, Ralph Kaufmann, Yize Zhao, Duy Duong-Tran, Li Shen:
Volume-Optimal Persistence Homological Scaffolds of Hemodynamic Networks Covary with MEG Theta-Alpha Aperiodic Dynamics. 519-529 - Yuan Zhong, Chenhui Tang, Yumeng Yang, Ruoxi Qi, Kang Zhou, Yuqi Gong, Pheng-Ann Heng, Janet H. Hsiao, Qi Dou:
Weakly-Supervised Medical Image Segmentation with Gaze Annotations. 530-540
Health Equity
- Sangyoon Lee, Francesca Branzoli, Thanh Nguyen, Ovidiu C. Andronesi, Alexander Lin, Roberto Liserre, Gerd Melkus, Clark Chen, Malgorzata Marjanska, Patrick J. Bolan:
A Deep Learning Approach for Placing Magnetic Resonance Spectroscopy Voxels in Brain Tumors. 543-552 - Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas, Ayisha Imran, Mohsen Ali, Waqas Sultani:
A Large-Scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability. 553-563 - Jiansong Zhang, Shengnan Wu, Peizhong Liu, Linlin Shen:
A New Dataset and Baseline Model for Rectal Cancer Risk Assessment in Endoscopic Ultrasound Videos. 564-573 - Ashuta Bhattarai, Jing Jin, Chandra Kambhamettu:
Analyzing Adjacent B-Scans to Localize Sickle Cell Retinopathy In OCTs. 574-584 - Aminu Musa, Mariya Ibrahim Adamu, Habeebah Adamu Kakudi, Monica Hernandez, Yusuf Lawal:
Analyzing Cross-Population Domain Shift in Chest X-Ray Image Classification and Mitigating the Gap with Deep Supervised Domain Adaptation. 585-595 - Yi Shi, Xu-Peng Tian, Yun-Kai Wang, Tie-Yi Zhang, Bing Yao, Hui Wang, Yong Shao, Cen-Cen Wang, Rong Zeng, De-Chuan Zhan:
CS3: Cascade SAM for Sperm Segmentation. 596-605 - Misaal Khan, Richa Singh, Mayank Vatsa, Kuldeep Singh:
DomainAdapt: Leveraging Multitask Learning and Domain Insights for Children's Nutritional Status Assessment. 606-616 - Wenyi Li, Haoran Xu, Guiyu Zhang, Huan-ang Gao, Mingju Gao, Mengyu Wang, Hao Zhao:
FairDiff: Fair Segmentation with Point-Image Diffusion. 617-628 - Marawan Elbatel, Keyuan Liu, Yanqi Yang, Xiaomeng Li:
FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images. 629-639 - Pranab Sahoo, Ashutosh Tripathi, Sriparna Saha, Samrat Mondal:
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging. 640-649 - Arianna Bunnell, Yannik Glaser, Dustin Valdez, Thomas K. Wolfgruber, Aleen Altamirano, Carol Zamora González, Brenda Y. Hernandez, Peter Sadowski, John A. Shepherd:
Learning a Clinically-Relevant Concept Bottleneck for Lesion Detection in Breast Ultrasound. 650-659 - Hengyu Liu, Yifan Liu, Chenxin Li, Wuyang Li, Yixuan Yuan:
LGS: A Light-Weight 4D Gaussian Splatting for Efficient Surgical Scene Reconstruction. 660-670 - Hang Zhang, Xiang Chen, Renjiu Hu, Dongdong Liu, Gaolei Li, Rongguang Wang:
MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters. 671-681 - Xiaoxiao Cui, Shanzhi Jiang, Baolin Sun, Yiran Li, Yankun Cao, Zhen Li, Chaoyang Lv, Zhi Liu, Lizhen Cui, Shuo Li:
Multilevel Causality Learning for Multi-label Gastric Atrophy Diagnosis. 682-692 - Michael Deutges, Ario Sadafi, Nassir Navab, Carsten Marr:
Neural Cellular Automata for Lightweight, Robust and Explainable Classification of White Blood Cell Images. 693-702 - Philippe Gottfrois, Fabian Gröger, Faly Herizo Andriambololoniaina, Ludovic Amruthalingam, Álvaro González-Jiménez, Christophe Hsu, Agnes Kessy, Simone Lionetti, Daudi Mavura, Wingston Ng'ambi, Dingase Faith Ngongonda, Marc Pouly, Mendrika Fifaliana Rakotoarisaona, Fahafahantsoa Rapelanoro Rabenja, Ibrahima Traoré, Alexander A. Navarini:
PASSION for Dermatology: Bridging the Diversity Gap with Pigmented Skin Images from Sub-Saharan Africa. 703-712 - Jiahui Yu, Xuna Wang, Tianyu Ma, Xiaoxiao Li, Yingke Xu:
Patch-Slide Discriminative Joint Learning for Weakly-Supervised Whole Slide Image Representation and Classification. 713-722 - Inye Na, Jonghun Kim, Eun Sook Ko, Hyunjin Park:
RadiomicsFill-Mammo: Synthetic Mammogram Mass Manipulation with Radiomics Features. 723-733 - Andrea Seung Kim, Niloufar Saharkhiz, Elena Sizikova, Miguel A. Lago, Berkman Sahiner, Jana G. Delfino, Aldo Badano:
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images. 734-744 - Ajibola Oladokun, Bessie Malila, Víctor M. Campello, Muki Shey, Tinashe E. M. Mutsvangwa:
SpeChrOmics: A Biomarker Characterization Framework for Medical Hyperspectral Imaging. 745-756 - Kpêtchéhoué Merveille Santi Zinsou, Cheikh Talibouya Diop, Idy Diop, Apostolia Tsirikoglou, Emmanuel Edwar Siddig, Doudou Sow, Maodo Ndiaye:
Towards Rapid Mycetoma Species Diagnosis: A Deep Learning Approach for Stain-Invariant Classification on H&E Images from Senegal. 757-767 - Qi Zhang, Xiujian Liu, Heye Zhang, Chenchu Xu, Guang Yang, Yixuan Yuan, Tao Tan, Zhifan Gao:
Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment. 768-778
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