Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

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Title
Cross-attention-based saliency inference for predicting cancer metastasis on whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad Shuo Niu M. Gürcan M. Niazi 34 5 0 18 Sep 2023
X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs Juan Diego Rodriguez Katrin Erk Greg Durrett 45 4 0 16 Sep 2023
Virchow: A Million-Slide Digital Pathology Foundation Model Eugene Vorontsov Alican Bozkurt Adam Casson George Shaikovski Michal Zelechowski ... Razik Yousfi Christopher Kanan David Klimstra B. Rothrock Thomas J. Fuchs MedIm 13 82 0 14 Sep 2023
HIGT: Hierarchical Interaction Graph-Transformer for Whole Slide Image Analysis Ziyu Guo Wei-Ye Zhao Shujun Wang Lequan Yu 32 13 0 14 Sep 2023
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology Nirhoshan Sivaroopan Chamuditha Jayanga Chalani Ekanayake Hasindri Watawana Jathurshan Pradeepkumar Mithunjha Anandakumar Ranga Rodrigo Chamira U. S. Edussooriya D. Wadduwage MedIm UQCV 41 0 0 13 Sep 2023
Attention De-sparsification Matters: Inducing Diversity in Digital Pathology Representation Learning S. Kapse Srijan Das Jingwei Zhang Rajarsi R. Gupta Joel H. Saltz Dimitris Samaras Prateek Prasanna 41 9 0 12 Sep 2023
On the detection of Out-Of-Distribution samples in Multiple Instance Learning Loïc Le Bescond Maria Vakalopoulou Stergios Christodoulidis Fabrice André Hugues Talbot OODD 16 0 0 11 Sep 2023
Gene-induced Multimodal Pre-training for Image-omic Classification Ting Jin Xingran Xie Renjie Wan Qingli Li Yan Wang AI4CE 47 11 0 06 Sep 2023
MoMA: Momentum Contrastive Learning with Multi-head Attention-based Knowledge Distillation for Histopathology Image Analysis T. Vuong J. T. Kwak 41 6 0 31 Aug 2023
RACR-MIL: Weakly Supervised Skin Cancer Grading using Rank-Aware Contextual Reasoning on Whole Slide Images A. Choudhary Angelina S. Hwang Jacob A. Kechter Krishnakant V. Saboo Blake Bordeaux ... Emma Johnson L. Swanson Dennis H. Murphree Aaron Mangold Ravishankar K. Iyer 33 0 0 29 Aug 2023
A General-Purpose Self-Supervised Model for Computational Pathology Richard J. Chen Tong Ding Ming Y. Lu Drew F. K. Williamson Guillaume Jaume ... Judy J. Wang Walt Williams L. Le Georg Gerber Faisal Mahmood MedIm 28 42 0 29 Aug 2023
Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning Chen Shen Jun Zhang Xinggong Liang Zeyi Hao Ke Li Fan Wang Zhenyuan Wang C. Lian 22 2 0 27 Aug 2023
ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis Yanyan Huang Weiqin Zhao Shujun Wang Yu Fu Yuming Jiang Lequan Yu CLL 30 18 0 25 Aug 2023
A Study of Age and Sex Bias in Multiple Instance Learning based Classification of Acute Myeloid Leukemia Subtypes Ario Sadafi Matthias Hehr Nassir Navab Carsten Marr 16 2 0 24 Aug 2023
Towards Hierarchical Regional Transformer-based Multiple Instance Learning Josef Cersovsky Sadegh Mohammadi Dagmar Kainmueller Johannes Hoehne ViT MedIm 22 3 0 24 Aug 2023
Food Image Classification and Segmentation with Attention-based Multiple Instance Learning Valasia Vlachopoulou I. Sarafis Alexandros Papadopoulos 21 1 0 22 Aug 2023
PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers Wenjie Zhu Peijie Qiu Xiwen Chen Oana Dumitrascu Yalin Wang 30 7 0 19 Aug 2023
Cross-modality Attention-based Multimodal Fusion for Non-small Cell Lung Cancer (NSCLC) Patient Survival Prediction Ruining Deng N. Shaikh G. Shannon Yao Nie 19 5 0 18 Aug 2023
Action Class Relation Detection and Classification Across Multiple Video Datasets Yuya Yoshikawa Yutaro Shigeto Masashi Shimbo A. Takeuchi 27 0 0 15 Aug 2023
LaFiCMIL: Rethinking Large File Classification from the Perspective of Correlated Multiple Instance Learning Tiezhu Sun Weiguo Pian N. Daoudi Kevin Allix Tegawende F. Bissyande Jacques Klein 31 1 0 30 Jul 2023
Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification Wenhao Tang Sheng Huang Xiaoxian Zhang Fengtao Zhou Yi Zhang Bo Liu 34 40 0 28 Jul 2023
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples Andrew H. Song Mane Williams Drew F. K. Williamson Guillaume Jaume Andrew Zhang ... R. Serafin Jonathan T. C. Liu Alexander S. Baras Anil V. Parwani Faisal Mahmood 17 4 0 27 Jul 2023
Topologically Regularized Multiple Instance Learning to Harness Data Scarcity Salome Kazeminia Carsten Marr Bastian Alexander Rieck 24 0 0 26 Jul 2023
Towards a Visual-Language Foundation Model for Computational Pathology Ming Y. Lu Bowen Chen Drew F. K. Williamson Richard J. Chen Ivy Liang ... Andrew Zhang L. Le Georg Gerber Anil V. Parwani Faisal Mahmood VLM MedIm 42 46 0 24 Jul 2023
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction Kexin Ding Mu Zhou Dimitris N. Metaxas Shaoting Zhang 27 28 0 22 Jul 2023
Smooth Attention for Deep Multiple Instance Learning: Application to CT Intracranial Hemorrhage Detection Yunan Wu Francisco M. Castro-Macías Pablo Morales-Álvarez Rafael Molina Aggelos K. Katsaggelos 35 2 0 18 Jul 2023
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding Zehan Wang Haifeng Huang Yang Zhao Lin Li Xize Cheng Yichen Zhu Aoxiong Yin Zhou Zhao 24 17 0 18 Jul 2023
Dual-Query Multiple Instance Learning for Dynamic Meta-Embedding based Tumor Classification Simon Holdenried-Krafft Peter Somers Ivonne A. Montes-Majarro Diana Silimon Cristina Tarín F. Fend Hendrik P. A. Lensch MedIm 33 3 0 14 Jul 2023
cOOpD: Reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations S. D. Almeida Carsten T. Lüth T. Norajitra Tassilo Wald Marco Nolden Paul F. Jaeger C. Heussel J. Biederer O. Weinheimer Klaus Maier-Hein 29 7 0 14 Jul 2023
The Whole Pathological Slide Classification via Weakly Supervised Learning Qiehe Sun Jiawen Li Jin Xu Junru Cheng Tian Guan Yonghong He 37 0 0 12 Jul 2023
CREPE: Learnable Prompting With CLIP Improves Visual Relationship Prediction Rakshith Subramanyam T. S. Jayram Rushil Anirudh Jayaraman J. Thiagarajan VLM 39 3 0 10 Jul 2023
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning Tsai Hor Chan Fernando Julio Cendra Lan Ma Guosheng Yin Lequan Yu 34 45 0 09 Jul 2023
A Fully Automated and Explainable Algorithm for the Prediction of Malignant Transformation in Oral Epithelial Dysplasia A. Shephard R. M. S. Bashir H. Mahmood Mostafa Jahanifar F. Minhas ... Jill M Brooks P. Nankivell H. Mehanna S. Khurram Nasir M. Rajpoot 25 3 0 06 Jul 2023
Multi-Scale Prototypical Transformer for Whole Slide Image Classification Saisai Ding Jun Wang Juncheng Li Jun Shi MedIm 29 17 0 05 Jul 2023
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need Linhao Qu Yingfan Ma Xiao-Zhuo Luo Manning Wang Zhijian Song VLM 29 19 0 05 Jul 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 34 2 0 05 Jul 2023
CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images Lei Tong A. Corrigan Navin Rathna Kumar Kerry Hallbrook Jonathan Orme Yinhai Wang Huiyu Zhou 16 0 0 28 Jun 2023
Pseudo-Bag Mixup Augmentation for Multiple Instance Learning-Based Whole Slide Image Classification Pei Liu Luping Ji Xinyu Zhang Feng Ye VLM 35 23 0 28 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images Wenhui Lei Xu Wei Xiaofan Zhang Kang Li Shaoting Zhang MedIm 26 3 0 26 Jun 2023
A Reliable and Interpretable Framework of Multi-view Learning for Liver Fibrosis Staging Zheyao Gao Yuanye Liu Fuping Wu N. Shi Yuxin Shi Xiahai Zhuang EDL 19 11 0 21 Jun 2023
A Universal Unbiased Method for Classification from Aggregate Observations Zixi Wei Lei Feng Bo Han Tongliang Liu Gang Niu Xiaofeng Zhu H. Shen 26 2 0 20 Jun 2023
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging Lukasz Struski Dawid Rymarczyk Arkadiusz Lewicki R. Sabiniewicz Jacek Tabor Bartosz Zieliñski 24 5 0 18 Jun 2023
Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes Shenghuan Sun T. Zack C. Y. Williams A. Butte Madhumita Sushil 25 1 0 16 Jun 2023
Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction Yingxue Xu Hao Chen OffRL 27 43 0 14 Jun 2023
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images Ming Y. Lu Bowen Chen Andrew Zhang Drew F. K. Williamson Richard J. Chen Tong Ding L. Le Yung-Sung Chuang Faisal Mahmood VLM MedIm 30 100 0 13 Jun 2023
Multi-level Multiple Instance Learning with Transformer for Whole Slide Image Classification Rui-qi Zhang Qiaozheng Zhang Yingzhuang Liu Hao Xin Yong-Jin Liu Xinggang Wang ViT MedIm 29 8 0 08 Jun 2023
ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology Tan H. Nguyen Dinkar Juyal Jin Li Aaditya (Adi) Prakash Shima Nofallah ... Michael Griffin Anand Sampat J. Abel Justin Lee A. Taylor-Weiner MedIm 27 2 0 07 Jun 2023
Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning Yiman Liu Qingming Huang Xiaoxiang Han Tongtong Liang Zhi-fang Zhang ... Angelos Stefanidis Jionglong Su Jiangang Chen Qingli Li Yuqi Zhang 23 7 0 06 Jun 2023
LESS: Label-efficient Multi-scale Learning for Cytological Whole Slide Image Screening Beidi Zhao Wenlong Deng Zi Han Li Li Chen Zhou Zuhua Gao Gang Wang Xiaoxiao Li 25 0 0 06 Jun 2023
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference Xiwen Chen Huayu Li Rahul Amin Abolfazl Razi 31 2 0 04 Jun 2023