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Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence
20 November 2019
Shivam Kalra
H. R. Tizhoosh
Sultaan Shah
C. Choi
S. Damaskinos
Amir Safarpoor
Sobhan Shafiei
Morteza Babaie
P. Diamandis
Clinton J. V. Campbell
Liron Pantanowitz
MedIm
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Papers citing
"Pan-Cancer Diagnostic Consensus Through Searching Archival Histopathology Images Using Artificial Intelligence"
8 / 8 papers shown
Title
Evaluating Pre-trained Convolutional Neural Networks and Foundation Models as Feature Extractors for Content-based Medical Image Retrieval
A. Mahbod
Nematollah Saeidi
Sepideh Hatamikia
Ramona Woitek
VLM
MedIm
31
2
0
14 Sep 2024
Seeing the random forest through the decision trees. Supporting learning health systems from histopathology with machine learning models: Challenges and opportunities
Ricardo Gonzalez
Ashirbani Saha
Clinton J.V. Campbell
Peyman Nejat
Cynthia Lokker
Andrew P. Norgan
51
13
0
06 Dec 2023
Towards More Transparent and Accurate Cancer Diagnosis with an Unsupervised CAE Approach
Zahra Tabatabaei
Adrián Colomer
Javier Oliver Moll
Valery Naranjo
MedIm
42
7
0
19 May 2023
Immunohistochemistry Biomarkers-Guided Image Search for Histopathology
A. Shafique
Morteza Babaie
R. Gonzalez
H. R. Tizhoosh
21
1
0
24 Apr 2023
Gram Barcodes for Histopathology Tissue Texture Retrieval
Shalev Lifshitz
Abtin Riasatian
H. R. Tizhoosh
21
0
0
28 Nov 2021
Decentralized Federated Learning through Proxy Model Sharing
Shivam Kalra
Junfeng Wen
Jesse C. Cresswell
M. Volkovs
Hamid R. Tizhoosh
FedML
19
94
0
22 Nov 2021
Representation Learning of Histopathology Images using Graph Neural Networks
Mohammed Adnan
Shivam Kalra
Hamid R. Tizhoosh
OOD
24
98
0
16 Apr 2020
Learning Permutation Invariant Representations using Memory Networks
Shivam Kalra
Mohammed Adnan
Graham W. Taylor
Hamid Tizhoosh
27
23
0
18 Nov 2019
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