Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

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Title
Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines M. Cen Xingyu Li Bangwei Guo J. Jonnagaddala Hong Zhang Xuesong Xu MedIm LM&MA 19 0 0 21 Feb 2023
Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification S. Chitnis Sidong Liu T. Dash T. Verlekar A. Di Ieva S. Berkovsky L. Vig A. Srinivasan 19 4 0 20 Feb 2023
Machine Learning for Cutting Planes in Integer Programming: A Survey Arnaud Deza Elias Boutros Khalil 25 24 0 17 Feb 2023
Efficient subtyping of ovarian cancer histopathology whole slide images using active sampling in multiple instance learning Jack Breen Katie Allen K. Zucker Geoff Hall Nicolas M. Orsi Nishant Ravikumar MedIm 16 7 0 17 Feb 2023
Multiple Instance Learning with Trainable Decision Tree Ensembles A. Konstantinov Lev V. Utkin 25 0 0 13 Feb 2023
Federated attention consistent learning models for prostate cancer diagnosis and Gleason grading Fei Kong Xiyue Wang Jin-Peng Xiang Sen Yang Xinran Wang ... Xiao Han Yuhan Dong Biyue Zhu Fang Wang Yueping Liu MedIm 40 6 0 13 Feb 2023
Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime Thomas Stegmüller C. Abbet Behzad Bozorgtabar Holly E. Clarke P. Petignat P. Vassilakos Jean-Philippe Thiran 38 4 0 10 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images Wei-Chien Wang Euijoon Ahn Da-wei Feng Jinman Kim MedIm 32 27 0 10 Feb 2023
Probabilistic Attention based on Gaussian Processes for Deep Multiple Instance Learning Arne Schmidt Pablo Morales-Álvarez Rafael Molina 29 13 0 08 Feb 2023
Detecting Histologic & Clinical Glioblastoma Patterns of Prognostic Relevance Bhakti Baheti Sunny Rai S. Innani G. Mehdiratta Sharath Chandra Guntuku M. P. Nasrallah Spyridon Bakas 4 3 0 01 Feb 2023
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study S. J. Wagner Daniel Reisenbüchler N. West J. Niehues G. P. Veldhuizen ... Daniel Truhn Julia A. Schnabel Melanie Boxberg T. Peng Jakob Nikolas Kather 3DV MedIm 26 14 0 23 Jan 2023
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification Conghao Xiong Hao Chen Joseph J. Y. Sung Irwin King MedIm 26 36 0 19 Jan 2023
Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images Ziyu Su Mostafa Rezapour Usama Sajjad M. Gürcan M. Niazi 22 11 0 18 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review Reza Azad A. Kazerouni Moein Heidari Ehsan Khodapanah Aghdam Amir Molaei Yiwei Jia Abin Jose Rijo Roy Dorit Merhof MedIm ViT 41 162 0 09 Jan 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer Pushpak Pati Guillaume Jaume Zeineb Ayadi Kevin Thandiackal Behzad Bozorgtabar M. Gabrani O. Goksel 20 17 0 07 Jan 2023
Deep Biological Pathway Informed Pathology-Genomic Multimodal Survival Prediction Lin Qiu Aminollah Khormali Kai Liu 21 9 0 06 Jan 2023
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography Yuqian Chen Fan Zhang L. Zekelman Tengfei Xue Chaoyi Zhang Yang Song N. Makris Yogesh Rathi Weidong (Tom) Cai L. O’Donnell DiffM MedIm 26 8 0 05 Jan 2023
Detecting Neighborhood Gentrification at Scale via Street-level Visual Data Tianyuan Huang Timothy Dai Zhecheng Wang Hesu Yoon Hao Sheng Andrew Y. Ng Ram Rajagopal Jackelyn Hwang 28 4 0 04 Jan 2023
Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise H. A. Mehrtens Alexander Kurz Tabea-Clara Bucher T. Brinker OOD UQCV 203 11 0 03 Jan 2023
On the Interpretability of Attention Networks L. N. Pandey Rahul Vashisht H. G. Ramaswamy 19 4 0 30 Dec 2022
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images M. Behzadi M. Madani Hanzhang Wang Jun Bai Ankit Bhardwaj A. Tarakanova H. Yamase Ga Hie Nam S. Nabavi MedIm 36 10 0 25 Dec 2022
Multi-Instance Partial-Label Learning: Towards Exploiting Dual Inexact Supervision Wei Tang Weijia Zhang Min-Ling Zhang 19 12 0 18 Dec 2022
Multi-Scale Relational Graph Convolutional Network for Multiple Instance Learning in Histopathology Images Roozbeh Bazargani L. Fazli L. Goldenberg M. Gleave A. Bashashati Septimiu Salcudean MedIm 36 7 0 17 Dec 2022
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images Pei Liu Luping Ji Feng Ye Bo Fu 21 27 0 13 Dec 2022
Regularized Optimal Transport Layers for Generalized Global Pooling Operations Hongteng Xu Minjie Cheng 36 4 0 13 Dec 2022
Using Multiple Instance Learning to Build Multimodal Representations Peiqi Wang W. Wells Seth Berkowitz Steven Horng Polina Golland SSL 24 6 0 11 Dec 2022
Giga-SSL: Self-Supervised Learning for Gigapixel Images Tristan Lazard Marvin Lerousseau Etienne Decencière Thomas Walter 20 18 0 06 Dec 2022
RLogist: Fast Observation Strategy on Whole-slide Images with Deep Reinforcement Learning Boxuan Zhao Jun Zhang Deheng Ye Jiancheng Cao Xiao Han Qiang Fu Wei Yang OffRL 31 9 0 04 Dec 2022
COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data Jonas C. Ditz Bernhard Reuter Nícolas Pfeifer 29 1 0 02 Dec 2022
DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries Kirill Shmilovich Benson Chen Theofanis Karaletos Mohammad M. Sultan 16 12 0 30 Nov 2022
Challenging mitosis detection algorithms: Global labels allow centroid localization Claudio Fernandez-Martín Umay Kiraz Julio Silva-Rodríguez Sandra Morales Emiel A. M. Janssen Valery Naranjo 27 0 0 30 Nov 2022
Hierarchical Transformer for Survival Prediction Using Multimodality Whole Slide Images and Genomics Chunyuan Li Xinliang Zhu Jiawen Yao Junzhou Huang MedIm 30 11 0 29 Nov 2022
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT Jacopo Teneggi P. Yi Jeremias Sulam 32 3 0 29 Nov 2022
Deep Learning-Based Prediction of Molecular Tumor Biomarkers from H&E: A Practical Review Heather D. Couture 48 20 0 27 Nov 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images Wei Chen Chen Li Dan Chen Xin Luo MedIm SSL 38 12 0 27 Nov 2022
Human-machine Interactive Tissue Prototype Learning for Label-efficient Histopathology Image Segmentation W. Pan Jiangpeng Yan Hanbo Chen Jiawei Yang Zhe Xu Xiu Li Jianhua Yao 15 8 0 26 Nov 2022
Scene-to-Patch Earth Observation: Multiple Instance Learning for Land Cover Classification Joseph Early Y.-J. C. Deweese C. Evers Sarvapali Ramchurn 21 1 0 15 Nov 2022
Language models are good pathologists: using attention-based sequence reduction and text-pretrained transformers for efficient WSI classification Juan Pisula Katarzyna Bozek VLM MedIm 36 3 0 14 Nov 2022
MixUp-MIL: Novel Data Augmentation for Multiple Instance Learning and a Study on Thyroid Cancer Diagnosis M. Gadermayr Lukas Koller M. Tschuchnig Lea Maria Stangassinger Christina Kreutzer S. Couillard-Després G. Oostingh Anton Hittmair 37 13 0 10 Nov 2022
An Aggregation of Aggregation Methods in Computational Pathology M. Bilal R. Jewsbury Ruoyu Wang Hammam M. AlGhamdi Amina Asif Mark Eastwood Nasir M. Rajpoot 38 28 0 02 Nov 2022
Embedding Space Augmentation for Weakly Supervised Learning in Whole-Slide Images Imaad Zaffar Guillaume Jaume Nasir M. Rajpoot Faisal Mahmood 43 4 0 31 Oct 2022
Iterative Patch Selection for High-Resolution Image Recognition Benjamin Bergner C. Lippert Aravindh Mahendran 20 12 0 24 Oct 2022
Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning Kangning Liu Weicheng Zhu Yiqiu Shen Sheng Liu N. Razavian Krzysztof J. Geras C. Fernandez‐Granda SSL 28 25 0 17 Oct 2022
Histopathological Image Classification based on Self-Supervised Vision Transformer and Weak Labels A. Gul Ozdemir Cetin Christoph Reich Tim Prangemeier Nadine Flinner Heinz Koeppl ViT MedIm 27 10 0 17 Oct 2022
Learning image representations for anomaly detection: application to discovery of histological alterations in drug development I. Zingman B. Stierstorfer C. Lempp Fabian Heinemann OOD MedIm 27 11 0 14 Oct 2022
Self-Supervised Equivariant Regularization Reconciles Multiple Instance Learning: Joint Referable Diabetic Retinopathy Classification and Lesion Segmentation Wenjie Zhu Peijie Qiu Natasha Lepore Oana Dumitrascu Yalin Wang 32 13 0 12 Oct 2022
Using Whole Slide Image Representations from Self-Supervised Contrastive Learning for Melanoma Concordance Regression S. Grullon Vaughn Spurrier Jiayi Zhao C. Chivers Yang Jiang K. Motaparthi Michael J. Bonham Julianna D. Ianni 9 0 0 10 Oct 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail Samy Ayed Edwige Cyffers Felix Grimberg Chaoyang He ... Sai Praneeth Karimireddy Marco Lorenzi Giovanni Neglia Marc Tommasi M. Andreux FedML 47 142 0 10 Oct 2022
Bi-directional Weakly Supervised Knowledge Distillation for Whole Slide Image Classification Linhao Qu Xiao-Zhuo Luo Manning Wang Zhijian Song WSOD 26 59 0 07 Oct 2022
Deeply Supervised Layer Selective Attention Network: Towards Label-Efficient Learning for Medical Image Classification Peng-Tao Jiang Juan Liu Lang Wang Zhihui Yang Hongyu Dong Jing Feng 24 2 0 28 Sep 2022