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Virtual staining for mitosis detection in Breast Histopathology

Virtual staining for mitosis detection in Breast Histopathology

IEEE International Symposium on Biomedical Imaging (ISBI), 2020
17 March 2020
Caner Mercan
Germonda Reijnen-Mooij
David Tellez Martin
J. Lotz
Nick Weiss
Marcel van Gerven
F. Ciompi
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Virtual staining for mitosis detection in Breast Histopathology"

13 / 13 papers shown
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned Data
Digital Staining with Knowledge Distillation: A Unified Framework for Unpaired and Paired-But-Misaligned DataIEEE Transactions on Medical Imaging (IEEE TMI), 2025
Ziwang Xu
Lanqing Guo
Satoshi Tsutsui
Shuyan Zhang
Alex C. Kot
Bihan Wen
420
3
0
14 Apr 2025
Generating Seamless Virtual Immunohistochemical Whole Slide Images with
  Content and Color Consistency
Generating Seamless Virtual Immunohistochemical Whole Slide Images with Content and Color ConsistencyIEEE International Symposium on Biomedical Imaging (ISBI), 2024
Sitong Liu
Kechun Liu
Samuel Margolis
Wenjun Wu
S. Knezevich
David E Elder
Megan M. Eguchi
J. Elmore
Linda G. Shapiro
223
4
0
01 Oct 2024
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from
  H&E Whole Slide Images
Scalable, Trustworthy Generative Model for Virtual Multi-Staining from H&E Whole Slide Images
Mehdi Ounissi
Ilias Sarbout
J. Hugot
C. Martinez-Vinson
D. Berrebi
Daniel Racoceanu
MedIm
264
5
0
26 Jun 2024
Annotated Biomedical Video Generation using Denoising Diffusion
  Probabilistic Models and Flow Fields
Annotated Biomedical Video Generation using Denoising Diffusion Probabilistic Models and Flow Fields
Rüveyda Yilmaz
Dennis Eschweiler
Johannes Stegmaier
VGenMedImDiffM
275
5
0
26 Mar 2024
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future
  Directions
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future DirectionsIEEE Reviews in Biomedical Engineering (RBME), 2023
Luyang Luo
Xi Wang
Yi Lin
Xiaoqi Ma
Andong Tan
R. Chan
V. Vardhanabhuti
W. C. Chu
Kwang-Ting Cheng
Hao Chen
468
117
0
13 Apr 2023
Digital staining in optical microscopy using deep learning -- a review
Digital staining in optical microscopy using deep learning -- a review
Lucas Kreiss
Shaowei Jiang
Xiang Li
Shiqi Xu
Kevin C Zhou
...
Seung Ah Lee
G. Zheng
Kyle J. Lafata
O. Friedrich
R. Horstmeyer
278
32
0
14 Mar 2023
Standardized CycleGAN training for unsupervised stain adaptation in
  invasive carcinoma classification for breast histopathology
Standardized CycleGAN training for unsupervised stain adaptation in invasive carcinoma classification for breast histopathologyJournal of Medical Imaging (JMI), 2023
Nicolas Nerrienet
Rémy Peyret
Marie Sockeel
Stéphane Sockeel
MedIm
331
10
0
30 Jan 2023
Deep Learning-enabled Virtual Histological Staining of Biological
  Samples
Deep Learning-enabled Virtual Histological Staining of Biological SamplesLight: Science & Applications (Light Sci Appl), 2022
Bijie Bai
Xilin Yang
Yuzhu Li
Yijie Zhang
N. Pillar
Aydogan Ozcan
164
277
0
13 Nov 2022
Towards Measuring Domain Shift in Histopathological Stain Translation in
  an Unsupervised Manner
Towards Measuring Domain Shift in Histopathological Stain Translation in an Unsupervised MannerIEEE International Symposium on Biomedical Imaging (ISBI), 2022
Zeeshan Nisar
Jelica Vasiljević
P. Gançarski
T. Lampert
MedIm
202
7
0
09 May 2022
Assessing domain adaptation techniques for mitosis detection in
  multi-scanner breast cancer histopathology images
Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images
Jack Breen
K. Zucker
Nicolas M. Orsi
Nishant Ravikumar
258
10
0
01 Sep 2021
Self adversarial attack as an augmentation method for
  immunohistochemical stainings
Self adversarial attack as an augmentation method for immunohistochemical stainingsIEEE International Symposium on Biomedical Imaging (ISBI), 2021
Jelica Vasiljević
Friedrich Feuerhake
Cédric Wemmert
T. Lampert
MedIm
193
7
0
21 Mar 2021
Towards Histopathological Stain Invariance by Unsupervised Domain
  Augmentation using Generative Adversarial Networks
Towards Histopathological Stain Invariance by Unsupervised Domain Augmentation using Generative Adversarial NetworksNeurocomputing (Neurocomputing), 2020
Jelica Vasiljević
Friedrich Feuerhake
Cédric Wemmert
T. Lampert
GANOODMedIm
175
49
0
22 Dec 2020
Deep learning-based transformation of the H&E stain into special stains
Deep learning-based transformation of the H&E stain into special stains
Kevin de Haan
Yijie Zhang
Jonathan E. Zuckerman
Tairan Liu
Anthony Sisk
...
Sarah Zhang
Rana Riahi
Y. Rivenson
W. D. Wallace
Aydogan Ozcan
MedIm
211
290
0
20 Aug 2020
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