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2011.08965
Cited By
Interpretable Survival Prediction for Colorectal Cancer using Deep Learning
npj Digital Medicine (NPJ Digit Med), 2020
17 November 2020
Ellery Wulczyn
David F. Steiner
M. Moran
M. Plass
Robert Reihs
Fraser Tan
Isabelle Flament-Auvigne
Trissia Brown
P. Regitnig
Po-Hsuan Cameron Chen
Narayan Hegde
Apaar Sadhwani
Robert MacDonald
Benny Ayalew
G. Corrado
L. Peng
Daniel Tse
Heimo Muller
Zhaoyang Xu
Yao Xiao
Martin C. Stumpe
K. Zatloukal
C. Mermel
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Papers citing
"Interpretable Survival Prediction for Colorectal Cancer using Deep Learning"
33 / 33 papers shown
GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
Peiran Quan
Zifan Gu
Zhuo Zhao
Qin Zhou
Peifeng Ruan
Ruichen Rong
Yang Xie
Tao Wang
AI4CE
150
0
0
03 Oct 2025
From Explainable to Explained AI: Ideas for Falsifying and Quantifying Explanations
Yoni Schirris
Eric Marcus
Jonas Teuwen
H. Horlings
E. Gavves
FAtt
MedIm
293
0
0
09 Aug 2025
HistoGym: A Reinforcement Learning Environment for Histopathological Image Analysis
Zhi-Bo Liu
Xiaobo Pang
Jizhao Wang
Shuai Liu
Chen Li
229
3
0
16 Aug 2024
Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images
P. Sandarenu
Julia Chen
I. Šlapetová
Lois Browne
Peter H. Graham
A. Swarbrick
Ewan K. A. Millar
Yang Song
Erik H. W. Meijering
207
1
0
22 Jun 2024
Task-oriented Embedding Counts: Heuristic Clustering-driven Feature Fine-tuning for Whole Slide Image Classification
Xuenian Wang
Shanshan Shi
Renao Yan
Qiehe Sun
Lianghui Zhu
Tian Guan
Yonghong He
327
4
0
02 Jun 2024
Artificial Intelligence for Digital and Computational Pathology
Nature Reviews Bioengineering (Nat Rev Bioeng), 2023
Andrew H. Song
Guillaume Jaume
Drew F. K. Williamson
Ming Y. Lu
Anurag J. Vaidya
Tiffany R. Miller
Faisal Mahmood
AI4CE
309
303
0
13 Dec 2023
NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images
Conference on Multimedia Modeling (MMM), 2023
Gia-Bao Le
Van-Tien Nguyen
Trung-Truc Huynh-Le
Minh-Triet Tran
348
2
0
12 Dec 2023
MGCT: Mutual-Guided Cross-Modality Transformer for Survival Outcome Prediction using Integrative Histopathology-Genomic Features
Mingxin Liu
Yunzan Liu
Hui Cui
Chunquan Li
Jiquan Ma
225
25
0
20 Nov 2023
Semi-supervised ViT knowledge distillation network with style transfer normalization for colorectal liver metastases survival prediction
Mohamed El Amine Elforaici
E. Montagnon
Francisco Perdigon Romero
W. Le
F. Azzi
Dominique Trudel
Bich Nguyen
Simon Turcotte
An Tang
Samuel Kadoury
MedIm
342
4
0
17 Nov 2023
Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Robert Harb
T. Pock
Heimo Müller
MedIm
262
23
0
14 Nov 2023
Domain-specific optimization and diverse evaluation of self-supervised models for histopathology
Jeremy Lai
Faruk Ahmed
Supriya Vijay
Tiam Jaroensri
Jessica Loo
...
Jonathan Krause
Yao Xiao
Po-Hsuan Cameron Chen
Ellery Wulczyn
David F. Steiner
245
11
0
20 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging
IEEE Access (IEEE Access), 2023
Alan Q. Wang
Batuhan K. Karaman
Heejong Kim
Jacob Rosenthal
Rachit Saluja
Sean I. Young
M. Sabuncu
AI4CE
525
32
0
02 Oct 2023
A General-Purpose Self-Supervised Model for Computational Pathology
Richard J. Chen
Tong Ding
Ming Y. Lu
Drew F. K. Williamson
Guillaume Jaume
...
Judy J. Wang
Walt Williams
L. Le
Georg Gerber
Faisal Mahmood
MedIm
366
61
0
29 Aug 2023
The State of Applying Artificial Intelligence to Tissue Imaging for Cancer Research and Early Detection
F1000Research (F1000Research), 2023
Michael Robben
Amir Hajighasemi
M. Nasr
Jai Prakesh Veerla
Anne M. Alsup
...
Kelli Fowlds
Parisa Boodaghi Malidarreh
Paul Koomey
Jillur Rahman Saurav
Jacob M. Luber
AI4CE
303
5
0
29 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
599
3
0
26 Jun 2023
Segment Anything Model for Medical Images?
Yuhao Huang
Yitian Zhao
Lei Mou
Huazhu Fu
Ao Chang
...
Lei Li
Vicente Grau
M. Akiba
Fajin Dong
Jiang-Dong Liu
VLM
332
312
0
28 Apr 2023
Domain Generalization for Mammographic Image Analysis with Contrastive Learning
Zheren Li
Zhiming Cui
Lichi Zhang
Sheng Wang
Chenjin Lei
...
Yajia Gu
Zaiyi Liu
Chunling Liu
Dinggang Shen
Jie‐Zhi Cheng
664
5
0
20 Apr 2023
Deep Neural Networks integrating genomics and histopathological images for predicting stages and survival time-to-event in colon cancer
PLoS ONE (PLoS ONE), 2022
Olalekan Ogundipe
Zeyneb Kurt
Wai Lok Woo
181
4
0
13 Dec 2022
AdvMIL: Adversarial Multiple Instance Learning for the Survival Analysis on Whole-Slide Images
Pei Liu
Luping Ji
Feng Ye
Bo Fu
180
59
0
13 Dec 2022
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
423
8
0
09 Oct 2022
K-UNN: k-Space Interpolation With Untrained Neural Network
Zhuoxu Cui
Seng Jia
Qingyong Zhu
Congcong Liu
Zhilang Qiu
Yuanyuan Liu
Jing Cheng
Haifeng Wang
Yanjie Zhu
Dong Liang
172
1
0
11 Aug 2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Iain Carmichael
Andrew H. Song
Richard J. Chen
Drew F. K. Williamson
Tiffany Y. Chen
Faisal Mahmood
337
24
0
17 Jun 2022
Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning
Computer Vision and Pattern Recognition (CVPR), 2022
Richard J. Chen
Chengkuan Chen
Yicong Li
Tiffany Y. Chen
A. Trister
Rahul G. Krishnan
Faisal Mahmood
ViT
MedIm
408
646
0
06 Jun 2022
Robust and Efficient Medical Imaging with Self-Supervision
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
...
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
OOD
293
77
0
19 May 2022
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
Conference on Fairness, Accountability and Transparency (FAccT), 2022
J.D. Zamfirescu-Pereira
Jerry Chen
Emily Wen
Allison Koenecke
N. Garg
Emma Pierson
272
6
0
15 May 2022
Colorectal cancer survival prediction using deep distribution based multiple-instance learning
Xingyu Li
J. Jonnagaddala
M. Cen
Kuanqi Cai
Xuesong Xu
313
13
0
24 Apr 2022
Hierarchical Optimal Transport for Comparing Histopathology Datasets
International Conference on Medical Imaging with Deep Learning (MIDL), 2022
A. Yeaton
Rahul G. Krishnan
Rebecca J. Mieloszyk
David Alvarez-Melis
G. Huynh
OT
225
10
0
18 Apr 2022
Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
International Conference on Medical Imaging with Deep Learning (MIDL), 2022
Weicheng Zhu
C. Fernandez‐Granda
N. Razavian
SSL
203
5
0
23 Mar 2022
A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer
Xingyu Li
J. Jonnagaddala
Shuhua Yang
Kuanqi Cai
Xuesong Xu
109
27
0
05 Nov 2021
MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
Shuai Jiang
A. Suriawinata
Saeed Hassanpour
139
48
0
22 Oct 2021
Automated risk classification of colon biopsies based on semantic segmentation of histopathology images
J. Bokhorst
Iris Nagtegaal
Filippo Fraggetta
Simona Vatrano
W. Mesker
M. Vieth
Jeroen van der Laak
F. Ciompi
206
1
0
16 Sep 2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Joseph Boyd
Mykola Liashuha
Eric Deutsch
Nikos Paragios
Stergios Christodoulidis
Maria Vakalopoulou
MedIm
192
40
0
07 Sep 2021
Whole Slide Images are 2D Point Clouds: Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Richard J. Chen
Ming Y. Lu
Muhammad Shaban
Chengkuan Chen
Tiffany Y. Chen
Drew F. K. Williamson
Faisal Mahmood
3DPC
MedIm
400
253
0
27 Jul 2021
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