Attention-based Deep Multiple Instance Learning

13 February 2018

Papers citing "Attention-based Deep Multiple Instance Learning"

10 / 760 papers shown

Title
Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification Marc Combalia João Paulo Papa 25 81 0 30 Dec 2018
Multi Instance Learning For Unbalanced Data Mark Kozdoba E. Moroshko Lior Shani Takuya Takagi Takashi Katoh Shie Mannor K. Crammer 16 1 0 17 Dec 2018
MIST: Multiple Instance Spatial Transformer Network Baptiste Angles Shahram Izadi Simon Kornblith Andrea Tagliasacchi K. M. Yi 27 5 0 26 Nov 2018
Neural Image Compression for Gigapixel Histopathology Image Analysis David Tellez G. Litjens Jeroen van der Laak F. Ciompi 35 206 0 07 Nov 2018
Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks Juho Lee Yoonho Lee Jungtaek Kim Adam R. Kosiorek Seungjin Choi Yee Whye Teh 8 275 0 01 Oct 2018
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction Bo Yang Sen Wang Andrew Markham Niki Trigoni 3DPC 3DV 23 138 0 02 Aug 2018
Weakly Supervised Medical Diagnosis and Localization from Multiple Resolutions L. Yao Jordan Prosky Eric Poblenz Ben Covington Kevin Lyman 26 120 0 21 Mar 2018
Granger-causal Attentive Mixtures of Experts: Learning Important Features with Neural Networks Patrick Schwab Djordje Miladinovic W. Karlen CML 13 56 0 06 Feb 2018
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 310 10,621 0 19 Feb 2017
Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning Oren Z. Kraus Lei Jimmy Ba B. Frey 164 392 0 17 Nov 2015