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27th MICCAI 2024: Marrakesh, Morocco - Part IV
- 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 IV. Lecture Notes in Computer Science 15004, Springer 2024, ISBN 978-3-031-72082-6
Computational Pathology
- Qiong Peng, Weiping Lin, Yihuang Hu, Ailisi Bao, Chenyu Lian, Weiwei Wei, Meng Yue, Jingxin Liu, Lequan Yu, Liansheng Wang:
Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring. 3-13 - Zheyu Wen, Ali Ghafouri, George Biros:
Biophysics-Based Data Assimilation of Longitudinal Tau and Amyloid-β PET Scans. 14-24 - Jing Wei Tan, SeungKyu Kim, Eunsu Kim, Sung Hak Lee, Sangjeong Ahn, Won-Ki Jeong:
Clinical-Grade Multi-organ Pathology Report Generation for Multi-scale Whole Slide Images via a Semantically Guided Medical Text Foundation Model. 25-35 - Hyun-Jic Oh, Won-Ki Jeong:
Controllable and Efficient Multi-class Pathology Nuclei Data Augmentation Using Text-Conditioned Diffusion Models. 36-46 - Caio Azevedo, Sanchayan Santra, Sudhakar Kumawat, Hajime Nagahara, Ken'ichi Morooka:
Deep Volume Reconstruction from Multi-focus Microscopic Images. 47-57 - Natalia P. García-de-la-Puente, Miguel López-Pérez, Laëtitia Launet, Valery Naranjo:
Domain Adaptation for Unsupervised Cancer Detection: An Application for Skin Whole Slides Images from an Interhospital Dataset. 58-68 - Yuan Zhang, Yaolei Qi, Xiaoming Qi, Yongyue Wei, Guanyu Yang:
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification. 69-79 - Chloe He, Neringa Karpaviciute, Rishabh Hariharan, Céline Jacques, Jérôme Chambost, Jonas Malmsten, Nikica Zaninovic, Koen Wouters, Thomas Fréour, Cristina Hickman, Francisco Vasconcelos:
Embryo Graphs: Predicting Human Embryo Viability from 3D Morphology. 80-90 - Gabriel Mejía, Daniela Ruiz, Paula Cárdenas, Leonardo Manrique, Daniela Vega, Pablo Arbeláez:
Enhancing Gene Expression Prediction from Histology Images with Spatial Transcriptomics Completion. 91-101 - Peixian Liang, Hao Zheng, Hongming Li, Yuxin Gong, Spyridon Bakas, Yong Fan:
Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning. 102-112 - Yueheng Li, Xianchao Guan, Yifeng Wang, Yongbing Zhang:
Exploiting Supervision Information in Weakly Paired Images for IHC Virtual Staining. 113-122 - Doanh C. Bui, Trinh Thi Le Vuong, Jin Tae Kwak:
FALFormer: Feature-Aware Landmarks Self-attention for Whole-Slide Image Classification. 123-132 - Yan Kong, Sheng Wang, Jiangdong Cai, Zihao Zhao, Zhenrong Shen, Yonghao Li, Manman Fei, Qian Wang:
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening. 133-143 - Wentao Huang, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Chao Chen:
Hard Negative Sample Mining for Whole Slide Image Classification. 144-154 - Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. 155-166 - Hasindri Watawana, Kanchana Ranasinghe, Tariq Mahmood, Muzammal Naseer, Salman H. Khan, Fahad Shahbaz Khan:
Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning. 167-177 - Wei Zhang, Tik Ho Hui, Pui Ying Tse, Fraser Hill, Condon Lau, Xinyue Li:
High-Resolution Medical Image Translation via Patch Alignment-Based Bidirectional Contrastive Learning. 178-188 - Zhengrui Guo, Jiabo Ma, Yingxue Xu, Yihui Wang, Liansheng Wang, Hao Chen:
HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-Modal Context Interaction. 189-199 - Chong Yin, Si-Qi Liu, Vincent Wai-Sun Wong, Pong C. Yuen:
HistoSyn: Histomorphology-Focused Pathology Image Synthesis. 200-210 - Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nishchal Sapkota, Pengfei Gu, Danny Z. Chen, Le Lu, Ke Yan, Dakai Jin, Yun Bian, Hui Jiang:
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images. 211-221 - Tanishq Gautam, Karina P. Gonzalez, Maria E. Salvatierra, Alejandra Serrano, Pingjun Chen, Xiaoxi Pan, Yasin Shokrollahi, Sara Ranjbar, Leticia Rodriguez, Luisa Solis-Soto, Yinyin Yuan, Simon P. Castillo:
Immune-Guided AI for Reproducible Regions of Interest Selection in Multiplex Immunofluorescence Pathology Imaging. 222-231 - Siwoo Nam, Hyun Namgung, Jaehoon Jeong, Miguel Luna, Soopil Kim, Philip Chikontwe, Sanghyun Park:
InstaSAM: Instance-Aware Segment Any Nuclei Model with Point Annotations. 232-242 - Winnie Pang, Xueyi Ke, Satoshi Tsutsui, Bihan Wen:
Integrating Clinical Knowledge into Concept Bottleneck Models. 243-253 - Omar S. M. El Nahhas, Georg Wölflein, Marta Ligero, Tim Lenz, Marko van Treeck, Firas Khader, Daniel Truhn, Jakob Nikolas Kather:
Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology. 254-262 - Yupei Zhang, Xiaofei Wang, Fangliangzi Meng, Jin Tang, Chao Li:
Knowledge-Driven Subspace Fusion and Gradient Coordination for Multi-modal Learning. 263-273 - Xinyu Zhu, Zhiguo Jiang, Kun Wu, Jun Shi, Yushan Zheng:
Lifelong Histopathology Whole Slide Image Retrieval via Distance Consistency Rehearsal. 274-284 - Philip Chikontwe, Myeongkyun Kang, Miguel Luna, Siwoo Nam, Sanghyun Park:
Low-Shot Prompt Tuning for Multiple Instance Learning Based Histology Classification. 285-295 - Shu Yang, Yihui Wang, Hao Chen:
MambaMIL: Enhancing Long Sequence Modeling with Sequence Reordering in Computational Pathology. 296-306 - Aishik Konwer, Prateek Prasanna:
MetaStain: Stain-Generalizable Meta-learning for Cell Segmentation and Classification with Limited Exemplars. 307-317 - Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. 318-328 - Songhan Jiang, Zhengyu Gan, Linghan Cai, Yifeng Wang, Yongbing Zhang:
Multimodal Cross-Task Interaction for Survival Analysis in Whole Slide Pathological Images. 329-339 - Rui Xu, Dan Yu, Xuan Yang, Xinchen Ye, Zhihui Wang, Yi Wang, Hongkai Wang, Haojie Li, Dingpin Huang, Fangyi Xu, Yi Gan, Yuan Tu, Hongjie Hu:
Novelty Detection Based Discriminative Multiple Instance Feature Mining to Classify NSCLC PD-L1 Status on HE-Stained Histopathological Images. 340-350 - Jiao Tang, Yagao Yue, Peng Wan, Mingliang Wang, Daoqiang Zhang, Wei Shao:
OSAL-ND: Open-Set Active Learning for Nucleus Detection. 351-361 - Jiashuai Liu, Anyu Mao, Yi Niu, Xianli Zhang, Tieliang Gong, Chen Li, Zeyu Gao:
PAMIL: Prototype Attention-Based Multiple Instance Learning for Whole Slide Image Classification. 362-372 - Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. 373-383 - Fuqiang Chen, Ranran Zhang, Boyun Zheng, Yiwen Sun, Jiahui He, Wenjian Qin:
Pathological Semantics-Preserving Learning for H&E-to-IHC Virtual Staining. 384-394 - Jiaxuan Lu, Fang Yan, Xiaofan Zhang, Yue Gao, Shaoting Zhang:
PathoTune: Adapting Visual Foundation Model to Pathological Specialists. 395-406 - Ling Zhang, Boxiang Yun, Xingran Xie, Qingli Li, Xinxing Li, Yan Wang:
Prompting Whole Slide Image Based Genetic Biomarker Prediction. 407-417 - Zixuan Zheng, Yilei Shi, Chunlei Li, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou:
Rethinking Cell Counting Methods: Decoupling Counting and Localization. 418-426 - Talat Zehra, Joseph Marino, Wendy Wang, Grigoriy Frantsuzov, Saad Nadeem:
Rethinking Histology Slide Digitization Workflows for Low-Resource Settings. 427-436 - Hongbo Chu, Qiehe Sun, Jiawen Li, Yuxuan Chen, Lizhong Zhang, Tian Guan, Anjia Han, Yonghong He:
RetMIL: Retentive Multiple Instance Learning for Histopathological Whole Slide Image Classification. 437-447 - Zekang Yang, Hong Liu, Xiangdong Wang:
SCMIL: Sparse Context-Aware Multiple Instance Learning for Predicting Cancer Survival Probability Distribution in Whole Slide Images. 448-458 - Mahmudul Hasan, Xiaoling Hu, Shahira Abousamra, Prateek Prasanna, Joel H. Saltz, Chao Chen:
Semi-supervised Contrastive VAE for Disentanglement of Digital Pathology Images. 459-469 - Tong Shu, Jun Shi, Dongdong Sun, Zhiguo Jiang, Yushan Zheng:
SlideGCD: Slide-Based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification. 470-480 - Chen Li, Xiaoling Hu, Shahira Abousamra, Meilong Xu, Chao Chen:
Spatial Diffusion for Cell Layout Generation. 481-491 - Yan Yang, Md. Zakir Hossain, Xuesong Li, Shafin Rahman, Eric A. Stone:
Spatial Transcriptomics Analysis of Zero-Shot Gene Expression Prediction. 492-502 - Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. 503-513 - Anh Tien Nguyen, Trinh Thi Le Vuong, Jin Tae Kwak:
Towards a Text-Based Quantitative and Explainable Histopathology Image Analysis. 514-524 - Tingting Yang, Liang Xiao, Yizhe Zhang:
TSBP: Improving Object Detection in Histology Images via Test-Time Self-guided Bounding-Box Propagation. 525-534 - Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz:
URCDM: Ultra-Resolution Image Synthesis in Histopathology. 535-545 - Pingyi Chen, Honglin Li, Chenglu Zhu, Sunyi Zheng, Zhongyi Shui, Lin Yang:
WsiCaption: Multiple Instance Generation of Pathology Reports for Gigapixel Whole-Slide Images. 546-556
Ultrasound
- Ling Dai, Kaitao Zhao, Zhongyu Li, Jihua Zhu, Libin Liang:
Advancing Sensorless Freehand 3D Ultrasound Reconstruction with a Novel Coupling Pad. 559-569 - Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, Jorge Oliveira, Agisilaos Chartsias, Alberto Gómez:
BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision. 570-579 - Ameneh Asgari-Targhi, Tamas Ungi, Mike Jin, Nicholas Harrison, Nicole M. Duggan, Erik P. Duhaime, Andrew J. Goldsmith, Tina Kapur:
Can Crowdsourced Annotations Improve AI-Based Congestion Scoring for Bedside Lung Ultrasound? 580-590 - Fadillah Adamsyah Maani, Numan Saeed, Aleksandr Matsun, Mohammad Yaqub:
CoReEcho: Continuous Representation Learning for 2D+Time Echocardiography Analysis. 591-601 - Tongkun Su, Jun Li, Xi Zhang, Hai Jin, Hao Chen, Qiong Wang, Faqin Lv, Baoliang Zhao, Ying Hu:
Design as Desired: Utilizing Visual Question Answering for Multimodal Pre-training. 602-612 - Marina Domínguez, Yordanka Velikova, Nassir Navab, Mohammad Farid Azampour:
Diffusion as Sound Propagation: Physics-Inspired Model for Ultrasound Image Generation. 613-623 - Song Lai, Mingyang Zhao, Zhe Zhao, Shi Chang, Xiaohua Yuan, Hongbin Liu, Qingfu Zhang, Gaofeng Meng:
EchoMEN: Combating Data Imbalance in Ejection Fraction Regression via Multi-expert Network. 624-633 - Sarina Thomas, Qing Cao, Anna Novikova, Daria P. Kulikova, Guy Ben-Yosef:
EchoNarrator: Generating Natural Text Explanations for Ejection Fraction Predictions. 634-644 - Md Abulkalam Azad, Artem Chernyshov, John Nyberg, Ingrid Tveten, Lasse Løvstakken, Håvard Dalen, Bjørnar Leangen Grenne, Andreas Østvik:
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography. 645-655 - Yimeng Geng, Gaofeng Meng, Mingcong Chen, Guanglin Cao, Mingyang Zhao, Jianbo Zhao, Hongbin Liu:
Force Sensing Guided Artery-Vein Segmentation via Sequential Ultrasound Images. 656-666 - Huihui Xu, Yijun Yang, Angelica I. Avilés-Rivero, Guang Yang, Jing Qin, Lei Zhu:
LGRNet: Local-Global Reciprocal Network for Uterine Fibroid Segmentation in Ultrasound Videos. 667-677 - Xiaoqing Guo, Qianhui Men, J. Alison Noble:
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video. 678-688 - Qi Li, Ziyi Shen, Qianye Yang, Dean C. Barratt, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Nonrigid Reconstruction of Freehand Ultrasound Without a Tracker. 689-699 - Qianhui Men, Xiaoqing Guo, Aris T. Papageorghiou, J. Alison Noble:
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation. 700-710 - YoungMin Kim, Myeong-Gee Kim, SeokHwan Oh, Guil Jung, Hyeon-Jik Lee, Sang-Yun Kim, Hyuksool Kwon, Sang-Il Choi, Hyeon-Min Bae:
Quantitative Assessment of Thyroid Nodules Through Ultrasound Imaging Analysis. 711-720 - Hongbo Chen, Yuchong Gao, Shuhang Zhang, Jiangjie Wu, Yuexin Ma, Rui Zheng:
RoCoSDF: Row-Column Scanned Neural Signed Distance Fields for Freehand 3D Ultrasound Imaging Shape Reconstruction. 721-731 - Ruixuan Zhang, Wenhuan Lu, Cuntai Guan, Jie Gao, Xi Wei, Xuewei Li:
SHAN: Shape Guided Network for Thyroid Nodule Ultrasound Cross-Domain Segmentation. 732-741 - Divyanshu Mishra, Pramit Saha, He Zhao, Olga Patey, Aris T. Papageorghiou, J. Alison Noble:
STAN-LOC: Visual Query-Based Video Clip Localization for Fetal Ultrasound Sweep Videos. 742-752 - Ashwath Radhachandran, Alekhya Vittalam, Vedrana Ivezic, Vivek Sant, Shreeram Athreya, Chace Moleta, Maitraya Patel, Rinat Masamed, Corey W. Arnold, William Speier:
ThyGraph: A Graph-Based Approach for Thyroid Nodule Diagnosis from Ultrasound Studies. 753-763 - Tingxiu Chen, Yilei Shi, Zixuan Zheng, Bingcong Yan, Jingliang Hu, Xiaoxiang Zhu, Lichao Mou:
Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models. 764-774 - SeokHwan Oh, Guil Jung, Sang-Yun Kim, Myeong-Gee Kim, Young-Min Kim, Hyeon-Jik Lee, Hyuksool Kwon, Hyeon-Min Bae:
Uncertainty-Aware Meta-weighted Optimization Framework for Domain-Generalized Medical Image Segmentation. 775-785 - Mohammad Alsharid, Robail Yasrab, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Zoom Pattern Signatures for Fetal Ultrasound Structures. 786-795
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