"multiple instance learning" Papers
23 papers found
Conference
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
Xianrui Li, Yufei Cui, Jun Li et al.
A Multiscale Frequency Domain Causal Framework for Enhanced Pathological Analysis
Xiaoyu Cui, Weixing Chen, Jiandong Su
C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis
Min Cen, Zhenfeng Zhuang, Yuzhe Zhang et al.
Continual Multiple Instance Learning with Enhanced Localization for Histopathological Whole Slide Image Analysis
Byung Hyun Lee, Wongi Jeong, Woojae Han et al.
Controllable Latent Space Augmentation for Digital Pathology
Sofiène Boutaj, Marin Scalbert, Pierre Marza et al.
Cracking Instance Jigsaw Puzzles: A Superior Alternative to Multiple Instance Learning for Whole Slide Image Analysis
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
Saarthak Kapse, Pushpak Pati, Srikar Yellapragada et al.
Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis
Kunming Tang, Zhiguo Jiang, Jun Shi et al.
Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification
Jiaxiang Gou, Luping Ji, Pei Liu et al.
Revisiting End-to-End Learning with Slide-level Supervision in Computational Pathology
Wenhao Tang, Rong Qin, Heng Fang et al.
Robust Hallucination Detection in LLMs via Adaptive Token Selection
Mengjia Niu, Hamed Haddadi, Guansong Pang
Single GPU Task Adaptation of Pathology Foundation Models for Whole Slide Image Analysis
Neeraj Kumar, Chad Vanderbilt
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
Yunlong Zhang, Honglin Li, YUXUAN SUN et al.
cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process
Yihang Chen, TSAI HOR CHAN, Guosheng Yin et al.
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
Wenhui Zhu, Xiwen Chen, Peijie Qiu et al.
Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction
Hao Li, Ying Chen, Yifei Chen et al.
Incorporating probabilistic domain knowledge into deep multiple instance learning
Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri et al.
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
Andrew Song, Richard J. Chen, Tong Ding et al.
Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification
Yu Bai, Bo Zhang, Zheng Zhang et al.
Snuffy: Efficient Whole Slide Image Classifier
Hossein Jafarinia, Alireza Alipanah, Saeed Razavi et al.
Sparse and Structured Hopfield Networks
Saúl Santos, Vlad Niculae, Daniel McNamee et al.
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
Xiwen Chen, Peijie Qiu, Wenhui Zhu et al.
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu, Luping Ji