Deep Interactive Learning: An Efficient Labeling Approach for Deep
Learning-Based Osteosarcoma Treatment Response Assessment

Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment

2 July 2020

Narasimhan P. Agaram

Chad M. Vanderbilt

Thomas J. Fuchs

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Papers citing "Deep Interactive Learning: An Efficient Labeling Approach for Deep Learning-Based Osteosarcoma Treatment Response Assessment"

11 / 11 papers shown

Title
Beyond Segmentation: Confidence-Aware and Debiased Estimation of Ratio-based Biomarkers Jiameng Li Teodora Popordanoska Sebastian G. Gruber F. Maes Matthew B. Blaschko 55 0 0 26 May 2025
Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy Zdravko Marinov Paul F. Jäger Jan Egger Jens Kleesiek Rainer Stiefelhagen 82 19 0 23 Nov 2023
Rapid Image Labeling via Neuro-Symbolic Learning Yifeng Wang Zhi Tu Yiwen Xiang Shiyuan Zhou Xiyuan Chen Bingxuan Li Tianyi Zhang VLM 83 6 0 18 Jun 2023
Deep Learning-Based Objective and Reproducible Osteosarcoma Chemotherapy Response Assessment and Outcome Prediction D. J. Ho Narasimhan P. Agaram M. Jean Stephanie D. Suser Cynthia Chu ... P. Meyers L. Wexler J. Healey Thomas J. Fuchs M. Hameed 23 17 0 09 Aug 2022
H&E-based Computational Biomarker Enables Universal EGFR Screening for Lung Adenocarcinoma Gabriele Campanella D. J. Ho I. Häggström Anton S. Becker Jason C. Chang Chad M. Vanderbilt Thomas J. Fuchs 48 8 0 21 Jun 2022
Noise-reducing attention cross fusion learning transformer for histological image classification of osteosarcoma Liangrui Pan Hetian Wang Lian-min Wang Boya Ji Mingting Liu M. Chongcheawchamnan Yuan Jin Shaoliang Peng ViT MedIm 52 36 0 29 Apr 2022
Deep Interactive Learning-based ovarian cancer segmentation of H&E-stained whole slide images to study morphological patterns of BRCA mutation D. J. Ho M. Chui Chad M. Vanderbilt J. Jung M. Robson Chan-Sik Park Jin Roh Thomas J. Fuchs 115 26 0 28 Mar 2022
But that's not why: Inference adjustment by interactive prototype revision M. Gerstenberger Thomas Wiegand Peter Eisert Sebastian Bosse 49 1 0 18 Mar 2022
MCDAL: Maximum Classifier Discrepancy for Active Learning Jae-Won Cho Dong-Jin Kim Yunjae Jung In So Kweon 85 46 0 23 Jul 2021
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy Abraham George Smith Jens Petersen C. Terrones-Campos A. Berthelsen Nora Jarrett Forbes S. Darkner L. Specht I. Vogelius MedIm AI4CE 50 23 0 22 Jun 2021
Deep Learning Methods for Lung Cancer Segmentation in Whole-slide Histopathology Images -- the ACDC@LungHP Challenge 2019 Zhang Li Jiehua Zhang T. Tan Xichao Teng Xiaoliang Sun ... P. Schüffler Qifeng Yu Hui Chen Yuling Tang G. Litjens 59 90 0 21 Aug 2020