Learning to rank for censored survival data

6 June 2018

Papers citing "Learning to rank for censored survival data"

5 / 5 papers shown

Title
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images Yicheng Song Tiancheng Lin Die Peng Su Yang Yi Xu MedIm 31 0 0 10 May 2025
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology Andrew H. Song Richard J. Chen Tong Ding Drew F. K. Williamson Guillaume Jaume Faisal Mahmood MedIm 41 28 0 19 May 2024
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 26 12 0 17 Jun 2022
DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network Jared Katzman Uri Shaham Jonathan Bates A. Cloninger Tingting Jiang Y. Kluger BDL CML OOD 104 1,231 0 02 Jun 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,634 0 03 Jul 2012