AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis
on Whole-Slide Images

AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images

13 December 2022

Pei Liu

Luping Ji

Papers citing "AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images"

8 / 8 papers shown

Title
Lifelong Whole Slide Image Analysis: Online Vision-Language Adaptation and Past-to-Present Gradient Distillation Doanh C. Bui H. Pham Vu Trung Duong Le T. Vu Van Duy Tran Khang Phuoc-Quy Nguyen Y. Nakashima CLL MedIm 29 0 0 04 May 2025
Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology Pei Liu Luping Ji Jiaxiang Gou Bo Fu Mao Ye 31 2 0 14 Sep 2024
Tissue Concepts: supervised foundation models in computational pathology Till Nicke Jan Raphael Schaefer Henning Hoefener Friedrich Feuerhake Dorit Merhof Fabian Kiessling Johannes Lotz MedIm 50 0 0 05 Sep 2024
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation Pei Liu Luping Ji EDL 29 4 0 07 May 2024
Robust Survival Analysis with Adversarial Regularization Michael Potter Stefano Maxenti Michael Everett AAML 24 0 0 26 Dec 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
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat Fahad Shahbaz Khan Ming-Hsuan Yang ViT 265 621 0 21 May 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016