Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

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Title
A patch-based architecture for multi-label classification from single label annotations Warren Jouanneau Aurélie Bugeau Marc Palyart Nicolas Papadakis Laurent Vézard 28 0 0 14 Sep 2022
HistoPerm: A Permutation-Based View Generation Approach for Improving Histopathologic Feature Representation Learning Joseph DiPalma Lorenzo Torresani Saeed Hassanpour AI4TS MedIm 22 2 0 13 Sep 2022
FETA: Towards Specializing Foundation Models for Expert Task Applications Amit Alfassy Assaf Arbelle Oshri Halimi Sivan Harary Roei Herzig ... Christoph Auer Kate Saenko Peter W. J. Staar Rogerio Feris Leonid Karlinsky 23 19 0 08 Sep 2022
Multi-Scale Attention-based Multiple Instance Learning for Classification of Multi-Gigapixel Histology Images Made Satria Wibawa K. Lo Lawrence S Young Nasir M. Rajpoot 24 12 0 07 Sep 2022
TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos Soufiane Belharbi Ismail Ben Ayed Luke McCaffrey Eric Granger WSOL 43 12 0 30 Aug 2022
Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search S. Hemati Shivam Kalra Morteza Babaie H. R. Tizhoosh 29 11 0 29 Aug 2022
Attention-based Interpretable Regression of Gene Expression in Histology Mara Graziani Niccolo Marini Nicolas Deutschmann Nikita Janakarajan Henning Muller María Rodríguez Martínez MedIm 46 5 0 29 Aug 2022
Partially Relevant Video Retrieval Jianfeng Dong Xianke Chen Minsong Zhang Xun Yang Shujie Chen Xirong Li Xun Wang 24 40 0 26 Aug 2022
EGFR Mutation Prediction of Lung Biopsy Images using Deep Learning R. Gupta Shivani Nandgaonkar Nikhil Cherian Kurian S. Rane A. Sethi MedIm 39 7 0 26 Aug 2022
Scalable Set Encoding with Universal Mini-Batch Consistency and Unbiased Full Set Gradient Approximation Jeffrey Willette Seanie Lee Bruno Andreis Kenji Kawaguchi Juho Lee Sung Ju Hwang 23 3 0 26 Aug 2022
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and Localization Lingfeng Li Huaiwei Cong Gangming Zhao Junran Peng Zheng Zhang Jinpeng Li MedIm 40 1 0 23 Aug 2022
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings D. Shats Hadar Hezi Guy Shani Y. Maruvka Moti Freiman 27 2 0 22 Aug 2022
Cluster Based Secure Multi-Party Computation in Federated Learning for Histopathology Images Seyedeh Maryam Hosseini Milad Sikaroudi Morteza Babaie H. R. Tizhoosh OOD FedML 18 10 0 21 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis Linhao Qu Siyu Liu Xiaoyu Liu Manning Wang Zhijian Song 28 57 0 18 Aug 2022
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images Ruining Deng C. Cui Lucas W. Remedios Shunxing Bao R. M. Womick ... K. Wilson Yao Wang Lori A. Coburn Bennett A. Landman Yuankai Huo 31 10 0 15 Aug 2022
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach Harshit Sharma Yi Xiao V. Tumanova Asif Salekin 22 6 0 03 Aug 2022
Is Attention Interpretation? A Quantitative Assessment On Sets Jonathan Haab N. Deutschmann María Rodríguez Martínez 27 7 0 26 Jul 2022
Effective and Interpretable Information Aggregation with Capacity Networks Markus Zopf 27 0 0 25 Jul 2022
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions Zhi Li Lu He Huijuan Xu 26 13 0 24 Jul 2022
Gigapixel Whole-Slide Images Classification using Locally Supervised Learning Jingwei Zhang Xin Zhang Ke Ma Rajarsi R. Gupta Joel H. Saltz Maria Vakalopoulou Dimitris Samaras 24 24 0 17 Jul 2022
RTN: Reinforced Transformer Network for Coronary CT Angiography Vessel-level Image Quality Assessment Yiting Lu Jun Fu Xin Li Wei Zhou Sen Liu Xinxin Zhang Congfu Jia Ying Liu Zhibo Chen ViT 17 34 0 13 Jul 2022
Trusted Multi-Scale Classification Framework for Whole Slide Image Ming Feng Kele Xu Na Wu Weiquan Huang Yan Bai Changjian Wang Huaimin Wang 42 5 0 12 Jul 2022
ReMix: A General and Efficient Framework for Multiple Instance Learning based Whole Slide Image Classification Jiawei Yang Hanbo Chen Yu Zhao Fan Yang Yao Zhang Lei He Jianhua Yao VLM 31 39 0 05 Jul 2022
Anomaly-aware multiple instance learning for rare anemia disorder classification Salome Kazeminia Ario Sadafi A. Makhro A. Bogdanova Shadi Albarqouni Carsten Marr 9 2 0 04 Jul 2022
Lesion-Aware Contrastive Representation Learning for Histopathology Whole Slide Images Analysis Jun Li Yushan Zheng Kun-Hsuan Wu Jun Shi Feng-ying Xie Zhi-guo Jiang SSL 33 11 0 27 Jun 2022
Multiple Instance Learning with Mixed Supervision in Gleason Grading Hao Bian Zhucheng Shao Yang Chen Yifeng Wang Haoqian Wang Jian Zhang Yongbing Zhang 27 10 0 26 Jun 2022
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image Classification Philip Chikontwe S. Nam H. Go Meejeong Kim H. Sung Sang Hyun Park 22 20 0 22 Jun 2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma Gabriele Campanella D. J. Ho I. Häggström Anton S. Becker Jason C. Chang Chad M. Vanderbilt Thomas J. Fuchs 8 8 0 21 Jun 2022
Conditional Permutation Invariant Flows Berend Zwartsenberg Adam Scibior Matthew Niedoba Vasileios Lioutas Yunpeng Liu Justice Sefas Setareh Dabiri J. Lavington Trevor Campbell Frank Wood 17 8 0 17 Jun 2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling Iain Carmichael Andrew H. Song Richard J. Chen Drew F. K. Williamson Tiffany Y. Chen Faisal Mahmood 30 12 0 17 Jun 2022
DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification Linhao Qu Xiao-Zhuo Luo Shaolei Liu Manning Wang Zhijian Song VLM 39 54 0 17 Jun 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging Riqiang Gao Thomas Z. Li Yucheng Tang Zhoubing Xu M. Kammer S. Antic K. Sandler Fabien Maldonado Thomas A. Lasko Bennett Landman OOD 43 1 0 17 Jun 2022
OpenSRH: optimizing brain tumor surgery using intraoperative stimulated Raman histology Cheng Jiang Asadur Chowdury X. Hou A. Kondepudi C. Freudiger Kyle S. Conway S. Camelo-Piragua D. Orringer Ho Hin Lee Todd C. Hollon 25 13 0 16 Jun 2022
DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis Pei Liu Bo Fu Feng Ye Rui Yang Bin Xu Luping Ji 15 24 0 12 Jun 2022
Balancing Bias and Variance for Active Weakly Supervised Learning Hitesh Sapkota Qi Yu 20 3 0 12 Jun 2022
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential M. Gadermayr M. Tschuchnig 32 60 0 09 Jun 2022
Transformer-based Personalized Attention Mechanism for Medical Images with Clinical Records Yusuke Takagi Noriaki Hashimoto Hiroki Masuda H. Miyoshi K. Ohshima H. Hontani Ichiro Takeuchi ViT MedIm 19 8 0 07 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning Richard J. Chen Chengkuan Chen Yicong Li Tiffany Y. Chen A. Trister Rahul G. Krishnan Faisal Mahmood ViT MedIm 36 409 0 06 Jun 2022
Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology Syed Ashar Javed Dinkar Juyal Harshith Padigela A. Taylor-Weiner Limin Yu Aaditya (Adi) Prakash 21 63 0 03 Jun 2022
Transfer without Forgetting Matteo Boschini Lorenzo Bonicelli Angelo Porrello Giovanni Bellitto M. Pennisi S. Palazzo C. Spampinato Simone Calderara CLL 22 46 0 01 Jun 2022
A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations Bangwei Guo Xingyu Li Miao Yang Hong Zhang Xuesong Xu MedIm 11 8 0 31 May 2022
Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning Joseph Early Tom Bewley C. Evers Sarvapali Ramchurn OffRL 24 15 0 30 May 2022
Go Beyond Multiple Instance Neural Networks: Deep-learning Models based on Local Pattern Aggregation Linpeng Jin 16 1 0 28 May 2022
Attention Awareness Multiple Instance Neural Network Jingjun Yi Beichen Zhou 14 1 0 27 May 2022
Learning Instance Representation Banks for Aerial Scene Classification Jingjun Yi Beichen Zhou 17 1 0 27 May 2022
Robust and Efficient Medical Imaging with Self-Supervision Shekoofeh Azizi Laura J. Culp Jan Freyberg Basil Mustafa Sebastien Baur ... Geoffrey E. Hinton N. Houlsby Alan Karthikesalingam Mohammad Norouzi Vivek Natarajan OOD 71 58 0 19 May 2022
Transformer based multiple instance learning for weakly supervised histopathology image segmentation Ziniu Qian Keqin Li M. Lai E. Chang Bingzheng Wei Yubo Fan Yan Xu ViT MedIm 47 39 0 18 May 2022
Local Attention Graph-based Transformer for Multi-target Genetic Alteration Prediction Daniel Reisenbüchler S. J. Wagner Melanie Boxberg T. Peng MedIm 32 22 0 13 May 2022
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 26 0 0 12 May 2022
All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification Qi Bi Beichen Zhou K. Qin Qinghao Ye Guisong Xia 18 39 0 06 May 2022