Enhanced hierarchical attention mechanism for mixed MIL in automatic Gleason grading and scoring by Meili Ren, Mengxing Huang, Yu Zhang, Zhijun Zhang, Meiyan Ren

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Transformer-based multiple instance learning network with 2D positional encoding for histopathology image classification by Bin Yang, Lei Ding, Jianqiang Li, Yong Li, Guangzhi Qu, Jingyi Wang, Qiang Wang, Bo Liu

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Using Variational Autoencoders for Out of Distribution Detection in Histological Multiple Instance Learning by Francisco Javier Saez-Maldonado, Luz Garcia, Lee A. D. Cooper, Jeffery A. Goldstein, Rafael Molina, Aggelos K. Katsaggelos

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Image-Level Anti-Personnel Landmine Detection Using Deep Learning in Long-Wave Infrared Images by Jun-Hyung Kim, Goo-Rak Kwon

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Deep learning‐based analysis of EGFR mutation prevalence in lung adenocarcinoma H&E whole slide images by Jun Hyeong Park, June Hyuck Lim, Seonhwa Kim, Chul‐Ho Kim, Jeong‐Seok Choi, Jun Hyeok Lim, Lucia Kim, Jae Won Chang, Dongil Park, Myung‐won Lee, Sup Kim, Il‐Seok Park, Seung Hoon Han, Eun Shin, Jin Roh, Jaesung Heo

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High-accuracy prediction of mutations in nine genes in lung adenocarcinoma via two-stage multi-instance learning on large-scale whole-slide images by Lingyu Zhao, Na Zhao, Ruiqi Zhong, Yiru Niu, Ziyi Chang, Peng Su, Zhihui Wang, Lifang Cui, Bei Wang, Huang Chen, Xiaowen Wang, Xiangbing Kong, Baolin Du, Fei Ren, Dingrong Zhong

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Breaking Barriers in Thyroid Cytopathology: Harnessing Deep Learning for Accurate Diagnosis by Seo Young Oh, Yong Moon Lee, Dong Joo Kang, Hyeong Ju Kwon, Sabyasachi Chakraborty, Jae Hyun Park

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Enhancing Weakly-Supervised Video Anomaly Detection With Temporal Constraints by Francisco Caetano, Pedro Carvalho, Christina Mastralexi, Jaime S. Cardoso

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Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection by Ryosuke Matsuo, Shinya Yasuda, Hiroshi Yoshida

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Bridging Domain Gaps in Computational Pathology: A Comparative Study of Adaptation Strategies by João D. Nunes, Diana Montezuma, Domingos Oliveira, Tania Pereira, Inti Zlobec, Isabel Macedo Pinto, Jaime S. Cardoso

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Multimodal Gated Mixture of Experts Using Whole Slide Image and Flow Cytometry for Multiple Instance Learning Classification of Lymphoma by Noriaki Hashimoto, Hiroyuki Hanada, Hiroaki Miyoshi, Miharu Nagaishi, Kensaku Sato, Hidekata Hontani, Koichi Ohshima, Ichiro Takeuchi

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Predicting estrogen receptor status from HE-stained breast cancer slides using artificial intelligence by Maren Høibø, Maren Høibø, Ute Spiske, André Pedersen, Borgny Ytterhus, Lars A. Akslen, Lars A. Akslen, Elisabeth Wik, Elisabeth Wik, Cecilie Askeland, Cecilie Askeland, Ingerid Reinertsen, Ingerid Reinertsen, Erik Smistad, Erik Smistad, Marit Valla, Marit Valla

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A Self-Paced Multiple Instance Learning Framework for Weakly Supervised Video Anomaly Detection by Ping He, Huibin Li, Miaolin Han

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Weakly supervised multiple-instance active learning for tooth-marked tongue recognition by Feilin Deng, Shangxuan Li, Zizhu Yang, Wu Zhou

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Optimal-Transport-Based Positive and Unlabeled Learning Method for Windshear Detection by Jie Zhang, Pak-Wai Chan, Michael Kwok-Po Ng

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Enhanced Video Anomaly Detection Through Dual Triplet Contrastive Loss for Hard Sample Discrimination by Chunxiang Niu, Siyu Meng, Rong Wang

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A Hybrid MIL Approach Leveraging Convolution and State-Space Model for Whole-Slide Image Cancer Subtyping by Dehui Bi, Yuqi Zhang

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Enhancing Structured Pathology Report Generation With Foundation Model and Modular Design by Kyung A Kim, Sungman Hong, Sehwan Yoo, Yousun Kang, Hyo Sup Shim

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Predicting Nottingham grade in breast cancer digital pathology using a foundation model by Jun Seo Kim, Jeong Hoon Lee, Yousung Yeon, Doyeon An, Seok Jun Kim, Myung-Giun Noh, Suehyun Lee

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Multiple instance learning-based prediction of programmed death-ligand 1 (PD-L1) expression from hematoxylin and eosin (H&E)-stained histopathological images in breast cancer by Zhen Da, Heng Yang, Bianba Zhaxi, Kaixiang Sun, Guohui Bai, Chao Wang, Feiyan Wang, Weijun Pan, Rui Du

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