Extending Unsupervised Neural Image Compression With Supervised Multitask Learning

International Conference on Medical Imaging with Deep Learning (MIDL), 2020

15 April 2020

Papers citing "Extending Unsupervised Neural Image Compression With Supervised Multitask Learning"

12 / 12 papers shown

WISE: A Framework for Gigapixel Whole-Slide-Image Lossless CompressionComputer Vision and Pattern Recognition (CVPR), 2025

344

23 Mar 2025

VoxelPrompt: A Vision Agent for End-to-End Medical Image Analysis

458

10 Oct 2024

Tissue Concepts: supervised foundation models in computational pathology

260

05 Sep 2024

Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology

Omar S. M. El Nahhas

Daniel Truhn

Jakob Nikolas Kather

172

06 Mar 2024

UniCell: Universal Cell Nucleus Classification via Prompt Learning

315

20 Feb 2024

Predicting Ki67, ER, PR, and HER2 Statuses from H&E-stained Breast Cancer Images

363

03 Aug 2023

Patch Gradient Descent: Training Neural Networks on Very Large Images

218

31 Jan 2023

One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification

288

126

28 Feb 2022

Evaluating Generic Auto-ML Tools for Computational Pathology

208

07 Dec 2021

Ranking Micro-Influencers: a Novel Multi-Task Learning and Interpretable FrameworkIEEE International Symposium on Multimedia (ISM), 2021

A. Elwood

Alberto Gasparin

A. Rozza

183

29 Jul 2021

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer

362

126

20 Jul 2021

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and ArticlesComputer Vision and Pattern Recognition (CVPR), 2021

Jevgenij Gamper

Nasir M. Rajpoot

225

08 Mar 2021