Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

50 / 760 papers shown

Title
A Method for Studying Semantic Construal in Grammatical Constructions with Interpretable Contextual Embedding Spaces Gabriella Chronis Kyle Mahowald K. Erk 18 8 0 29 May 2023
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification Linhao Qu X. Luo Kexue Fu Manning Wang Zhijian Song 41 22 0 29 May 2023
Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning Wei Tang Weijia Zhang Min-Ling Zhang 32 9 0 26 May 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning Zhe Huang B. Wessler M. C. Hughes 27 3 0 25 May 2023
Multi-scale Efficient Graph-Transformer for Whole Slide Image Classification Saisai Ding Juncheng Li Jun Wang Shihui Ying Jun Shi ViT MedIm 41 7 0 25 May 2023
Label-Efficient Learning in Agriculture: A Comprehensive Review Jiajia Li Dong Chen Xinda Qi Zhao Li Yanbo Huang Daniel Morris Xiaobo Tan 39 34 0 24 May 2023
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach Zheng Xie Yu Liu Hao He Ming Li Zhi-Hua Zhou NoLa 32 4 0 23 May 2023
Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations Hao Chen Ankit Shah Jindong Wang R. Tao Yidong Wang Xingxu Xie Masashi Sugiyama Rita Singh Bhiksha Raj 37 12 0 22 May 2023
Deep Multiple Instance Learning with Distance-Aware Self-Attention Georg Wolflein Lucie Charlotte Magister Pietro Lio David J. Harrison Ognjen Arandjelovic 27 2 0 17 May 2023
Provable Multi-instance Deep AUC Maximization with Stochastic Pooling Dixian Zhu Bokun Wang Zhi Chen Yaxing Wang Milan Sonka Xiaodong Wu Tianbao Yang 22 3 0 14 May 2023
eXplainable Artificial Intelligence on Medical Images: A Survey Matteus Vargas Simao da Silva Rodrigo Reis Arrais Jhessica Victoria Santos da Silva Felipe Souza Tanios Mateus A. Chinelatto ... Fabiana Cristina Queiroz de Oliveira Marucci Francisco Alves de Souza Neto Danilo Xavier Silva Vitor Yukio Kondo C. F. G. Santos MedIm XAI 23 1 0 12 May 2023
Tackling Interpretability in Audio Classification Networks with Non-negative Matrix Factorization Jayneel Parekh Sanjeel Parekh Pavlo Mozharovskyi Gaël Richard Florence dÁlché-Buc 33 6 0 11 May 2023
Cascaded Cross-Attention Networks for Data-Efficient Whole-Slide Image Classification Using Transformers Firas Khader Jakob Nikolas Kather T. Han S. Nebelung Christiane Kuhl Johannes Stegmaier Daniel Truhn MedIm ViT 13 1 0 11 May 2023
CAMIL: Context-Aware Multiple Instance Learning for Cancer Detection and Subtyping in Whole Slide Images Olga Fourkioti Matt De Vries Chris Bakal 35 4 0 09 May 2023
Revisiting the Encoding of Satellite Image Time Series Xin Cai Y. Bi Peter Nicholl Roy Sterritt AI4TS 41 3 0 03 May 2023
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification S. Javed Arif Mahmood Talha Qaiser J. Bingler Markus Leippold ViT MedIm 35 6 0 03 May 2023
TPMIL: Trainable Prototype Enhanced Multiple Instance Learning for Whole Slide Image Classification Litao Yang Deval Mehta Sidong Liu Dwarikanath Mahapatra A. Di Ieva Zongyuan Ge 32 5 0 01 May 2023
Leveraging Unlabelled Data in Multiple-Instance Learning Problems for Improved Detection of Parkinsonian Tremor in Free-Living Conditions Alexandros Papadopoulos A. Delopoulos 25 2 0 29 Apr 2023
Data-driven Knowledge Fusion for Deep Multi-instance Learning Yu-Xuan Zhang Zhengchun Zhou Xingxing He A. R. Adhikary Bapi Dutta 33 1 0 24 Apr 2023
Data and Knowledge Co-driving for Cancer Subtype Classification on Multi-Scale Histopathological Slides Bo Yu Hechang Chen Yunke Zhang Lele Cong S. Pang Hongren Zhou Zehao Wang Xianling Cong 23 4 0 18 Apr 2023
Masked Pre-Training of Transformers for Histology Image Analysis Shuai Jiang Liesbeth Hondelink A. Suriawinata Saeed Hassanpour MedIm 26 14 0 14 Apr 2023
Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction Guillaume Jaume Anurag J. Vaidya Richard J. Chen Drew F. K. Williamson Paul Pu Liang Faisal Mahmood 41 43 0 13 Apr 2023
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions Luyang Luo Xi Wang Yi-Mou Lin Xiaoqi Ma Andong Tan R. Chan V. Vardhanabhuti W. C. Chu Kwang-Ting Cheng Hao Chen 33 50 0 13 Apr 2023
ProtoDiv: Prototype-guided Division of Consistent Pseudo-bags for Whole-slide Image Classification Rui Yang Pei Liu Luping Ji VLM DiffM 29 9 0 13 Apr 2023
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides Omar S. M. El Nahhas C. Loeffler Zunamys I Carrero M. Treeck Fiona Kolbinger ... Michael Hoffmeister Hermann Brenner A. Brobeil J. Reis-Filho Jakob Nikolas Kather 27 46 0 11 Apr 2023
Slideflow: Deep Learning for Digital Histopathology with Real-Time Whole-Slide Visualization J. Dolezal S. Kochanny E. Dyer Andrew Srisuwananukorn Matteo Sacco Frederick M. Howard Anran Li Prajval Mohan Alexander T. Pearson MedIm 32 22 0 09 Apr 2023
Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images Shusuke Takahama Y. Kurose Yusuke Mukuta Hiroyuki Abe Akihiko Yoshizawa T. Ushiku M. Fukayama M. Kitagawa Masaru Kitsuregawa Tatsuya Harada 31 1 0 07 Apr 2023
Cross-scale Multi-instance Learning for Pathological Image Diagnosis Ruining Deng Can Cui Lucas W. Remedios Shunxing Bao R. M. Womick ... Keith T. Wilson Yaohong Wang Lori A. Coburn Bennett A. Landman Yuankai Huo 24 8 0 01 Apr 2023
Artificial Intelligence in Ovarian Cancer Histopathology: A Systematic Review Jack Breen Katie Allen K. Zucker P. Adusumilli A. Scarsbrook Geoff Hall Nicolas M. Orsi Nishant Ravikumar 24 30 0 31 Mar 2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification Hongyi Wang Luyang Luo Fang Wang Ruofeng Tong Yen-Wei Chen Hongjie Hu Lanfen Lin Hao Chen VLM 26 10 0 28 Mar 2023
Transformer-based Multi-Instance Learning for Weakly Supervised Object Detection Zhaofei Wang Weijia Zhang Min-Ling Zhang ViT WSOD 21 3 0 27 Mar 2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology Dinkar Juyal S. Shingi Syed Ashar Javed Harshith Padigela Chintan Shah Anand Sampat Archit Khosla J. Abel A. Taylor-Weiner 30 6 0 23 Mar 2023
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning Yi-Mou Lin Zhongchen Zhao Zhengjie Zhu Lisheng Wang Kwang-Ting Cheng Hao Chen VLM 35 1 0 23 Mar 2023
Prompt-MIL: Boosting Multi-Instance Learning Schemes via Task-specific Prompt Tuning Jingwei Zhang S. Kapse Ke Ma Prateek Prasanna Joel H. Saltz Maria Vakalopoulou Dimitris Samaras VLM 19 16 0 21 Mar 2023
DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification Yijun Yang Huazhu Fu Angelica I. Aviles-Rivero Carola-Bibiane Schönlieb Lei Zhu MedIm 96 48 0 19 Mar 2023
Pixel-Level Explanation of Multiple Instance Learning Models in Biomedical Single Cell Images Ario Sadafi Oleksandra Adonkina Ashkan Khakzar P. Lienemann Rudolf Matthias Hehr Daniel Rueckert Nassir Navab Carsten Marr FAtt 50 10 0 15 Mar 2023
Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification Honglin Li Chenglu Zhu Yunlong Zhang Yuxuan Sun Zhongyi Shui Wenwei Kuang S. Zheng L. Yang 69 57 0 15 Mar 2023
Controllable Prosody Generation With Partial Inputs Dan-Andrei Iliescu D. Mohan Tian Huey Teh Zack Hodari 30 1 0 14 Mar 2023
Interventional Bag Multi-Instance Learning On Whole-Slide Pathological Images Tiancheng Lin Zhimiao Yu Hongyu Hu Yi Xu Changyi Chen 57 80 0 13 Mar 2023
DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image Berker Demirel Huseyin Ozkan 31 2 0 11 Mar 2023
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification Conghao Xiong Yi-Mou Lin Hao Chen Hao Zheng Dong Wei Yefeng Zheng Joseph J. Y. Sung Irwin King 37 3 0 10 Mar 2023
Simple and Efficient Confidence Score for Grading Whole Slide Images M. Lubrano Yaëlle Bellahsen-Harrar Rutger Fick C. Badoual Thomas Walter 17 3 0 08 Mar 2023
TRUSformer: Improving Prostate Cancer Detection from Micro-Ultrasound Using Attention and Self-Supervision Mahdi Gilany P. Wilson Andrea Perera-Ortega A. Jamzad Minh Nguyen Nhat To Fahimeh Fooladgar Brian Wodlinger Purang Abolmaesumi P. Mousavi ViT MedIm 22 10 0 03 Mar 2023
Hierarchical discriminative learning improves visual representations of biomedical microscopy Cheng Jiang X. Hou A. Kondepudi Asadur Chowdury C. Freudiger D. Orringer Honglak Lee Todd C. Hollon 32 12 0 02 Mar 2023
BEL: A Bag Embedding Loss for Transformer enhances Multiple Instance Whole Slide Image Classification Daniel Sens Ario Sadafi F. P. Casale Nassir Navab Carsten Marr ViT MedIm 21 1 0 02 Mar 2023
Active Learning Enhances Classification of Histopathology Whole Slide Images with Attention-based Multiple Instance Learning Ario Sadafi Nassir Navab Carsten Marr 33 2 0 02 Mar 2023
Weakly-supervised HOI Detection via Prior-guided Bi-level Representation Learning Bo Wan Yongfei Liu Desen Zhou Tinne Tuytelaars Xuming He 19 14 0 02 Mar 2023
AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images Ramin Nakhli Puria Azadi Moghadam Haoyang Mi H. Farahani Alexander S. Baras B. Gilks A. Bashashati MedIm ViT 35 18 0 01 Mar 2023
Quantifying & Modeling Multimodal Interactions: An Information Decomposition Framework Paul Pu Liang Yun Cheng Xiang Fan Chun Kai Ling Suzanne Nie ... Nicholas B. Allen Randy P. Auerbach Faisal Mahmood Ruslan Salakhutdinov Louis-Philippe Morency 43 30 0 23 Feb 2023
MulGT: Multi-task Graph-Transformer with Task-aware Knowledge Injection and Domain Knowledge-driven Pooling for Whole Slide Image Analysis Weiqin Zhao Shujun Wang Maximus C. F. Yeung Tianye Niu Lequan Yu 44 9 0 21 Feb 2023