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PathologyGAN: Learning deep representations of cancer tissue
v1v2v3v4v5 (latest)

PathologyGAN: Learning deep representations of cancer tissue

4 July 2019
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
    MedImGAN
ArXiv (abs)PDFHTMLGithub (98★)

Papers citing "PathologyGAN: Learning deep representations of cancer tissue"

34 / 34 papers shown
Title
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
Generative Models in Computational Pathology: A Comprehensive Survey on Methods, Applications, and Challenges
Yuan Zhang
Xinfeng Zhang
Xiaoming Qi Xinyu Wu
Feng Chen
Guanyu Yang
Huazhu Fu
MedImLM&MAAI4CE
165
0
0
16 May 2025
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology
  Semantic Masks Generation
PriorPath: Coarse-To-Fine Approach for Controlled De-Novo Pathology Semantic Masks Generation
Nati Daniel
May Nathan
Eden Azeroual
Y. Fisher
Y. Savir
MedIm
89
0
0
25 Nov 2024
Comparative Analysis of Diffusion Generative Models in Computational
  Pathology
Comparative Analysis of Diffusion Generative Models in Computational Pathology
Denisha Thakkar
Vincent Quoc-Huy Trinh
Sonal Varma
Samira Ebrahimi Kahou
Hassan Rivaz
Mahdi S. Hosseini
MedIm
127
1
0
24 Nov 2024
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form
  Factorization
Synthetic Generation of Dermatoscopic Images with GAN and Closed-Form Factorization
R. Mekala
Frederik Pahde
Simon Baur
Sneha Chandrashekar
Madeline Diep
...
Jackie Ma
Peter Eisert
Mikael Lindvall
Adam A. Porter
Wojciech Samek
MedImGAN
83
2
0
07 Oct 2024
Disentangling representations of retinal images with generative models
Disentangling representations of retinal images with generative models
Sarah Muller
Lisa M. Koch
Hendrik P. A. Lensch
Philipp Berens
MedIm
77
3
0
29 Feb 2024
Generative AI-Driven Human Digital Twin in IoT-Healthcare: A
  Comprehensive Survey
Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey
Jiayuan Chen
You Shi
Changyan Yi
Hongyang Du
Jiawen Kang
Dusit Niyato
85
29
0
22 Jan 2024
New Horizons: Pioneering Pharmaceutical R&D with Generative AI from lab
  to the clinic -- an industry perspective
New Horizons: Pioneering Pharmaceutical R&D with Generative AI from lab to the clinic -- an industry perspective
Guy Doron
Sam Genway
Mark Roberts
Sai Jasti
AI4CE
45
2
0
19 Dec 2023
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for
  Histopathological Image Segmentation
GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation
Vishnuvardhan Purma
Suhas Srinath
Seshan Srirangarajan
A. Kakkar
Prathosh A.P.
MedImDiffM
56
2
0
04 Sep 2023
Synthetic Augmentation with Large-scale Unconditional Pre-training
Synthetic Augmentation with Large-scale Unconditional Pre-training
Jiarong Ye
Haomiao Ni
Peng Jin
Sharon X. Huang
Yuan Xue
MedIm
61
22
0
08 Aug 2023
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch
  Diffusion in Histopathology
DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology
Marco Aversa
Gabriel Nobis
Miriam Hagele
Kai Standvoss
Mihaela Chirica
...
D. Ivanova
Wojciech Samek
Frederick Klauschen
B. Sanguinetti
Luis Oala
MedIm
100
23
0
23 Jun 2023
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
Synthesis of Annotated Colorectal Cancer Tissue Images from Gland Layout
Srijay Deshpande
F. Minhas
Nasir M. Rajpoot
MedIm
36
2
0
08 May 2023
Between Generating Noise and Generating Images: Noise in the Correct
  Frequency Improves the Quality of Synthetic Histopathology Images for Digital
  Pathology
Between Generating Noise and Generating Images: Noise in the Correct Frequency Improves the Quality of Synthetic Histopathology Images for Digital Pathology
Nati Daniel
Eliel Aknin
Ariel Larey
Yoni Peretz
G. Sela
Y. Fisher
Y. Savir
MedIm
38
5
0
13 Feb 2023
DEPAS: De-novo Pathology Semantic Masks using a Generative Model
DEPAS: De-novo Pathology Semantic Masks using a Generative Model
Ariel Larey
Nati Daniel
Eliel Aknin
Y. Fisher
Y. Savir
DiffMMedIm
33
1
0
13 Feb 2023
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular
  Layouts
SynCLay: Interactive Synthesis of Histology Images from Bespoke Cellular Layouts
Srijay Deshpande
Muhammad Dawood
F. Minhas
Nasir M. Rajpoot
MedIm
64
10
0
28 Dec 2022
Deep Learning Generates Synthetic Cancer Histology for Explainability
  and Education
Deep Learning Generates Synthetic Cancer Histology for Explainability and Education
J. Dolezal
Rachelle Wolk
Hanna M. Hieromnimon
Frederick M. Howard
Andrew Srisuwananukorn
...
A. Husain
Huihua Li
Robert L. Grossman
N. Cipriani
A. Pearson
MedIm
58
42
0
12 Nov 2022
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Joseph Boyd
I. Villa
M. Mathieu
Eric Deutsch
Nikos Paragios
Maria Vakalopoulou
Stergios Christodoulidis
MedIm
95
14
0
26 Aug 2022
Towards Label-efficient Automatic Diagnosis and Analysis: A
  Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised,
  Semi-supervised and Self-supervised Techniques in Histopathological Image
  Analysis
Towards Label-efficient Automatic Diagnosis and Analysis: A Comprehensive Survey of Advanced Deep Learning-based Weakly-supervised, Semi-supervised and Self-supervised Techniques in Histopathological Image Analysis
Linhao Qu
Siyu Liu
Xiaoyu Liu
Manning Wang
Zhijian Song
89
58
0
18 Aug 2022
SYNTA: A novel approach for deep learning-based image analysis in muscle
  histopathology using photo-realistic synthetic data
SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data
L. Mill
O. Aust
Jochen A. Ackermann
Philipp Burger
Monica Pascual
...
Rolf Schröder
Christian Holtzhausen
Samir Jabari
Andreas Maier
Anika Grüneboom
MedIm
62
2
0
29 Jul 2022
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin
  Cancer
Towards Highly Expressive Machine Learning Models of Non-Melanoma Skin Cancer
S. Thomas
J. Lefevre
Glenn W. Baxter
N. Hamilton
MedIm
85
2
0
09 Jul 2022
Deepfake histological images for enhancing digital pathology
Deepfake histological images for enhancing digital pathology
Kianoush Falahkheirkhah
Saumya Tiwari
Kevin Yeh
Sounak Gupta
L. Herrera-Hernandez
Michael R. McCarthy
Rafael E. Jimenez
J. Cheville
Rohit Bhargava
MedIm
114
3
0
16 Jun 2022
Producing Histopathology Phantom Images using Generative Adversarial
  Networks to improve Tumor Detection
Producing Histopathology Phantom Images using Generative Adversarial Networks to improve Tumor Detection
Vidit Gautam
GANMedIm
34
1
0
21 May 2022
Recommendations on test datasets for evaluating AI solutions in
  pathology
Recommendations on test datasets for evaluating AI solutions in pathology
A. Homeyer
Christian Geißler
L. O. Schwen
Falk Zakrzewski
Theodore Evans
...
Tobias Lang
P. Boor
Heimo Muller
P. Hufnagl
N. Zerbe
96
43
0
21 Apr 2022
Self-Supervised Representation Learning using Visual Field Expansion on
  Digital Pathology
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology
Joseph Boyd
Mykola Liashuha
Eric Deutsch
Nikos Paragios
Stergios Christodoulidis
Maria Vakalopoulou
MedIm
83
35
0
07 Sep 2021
Adversarial learning of cancer tissue representations
Adversarial learning of cancer tissue representations
A. Quiros
N. Coudray
A. Yeaton
Wisuwat Sunhem
Roderick Murray-Smith
A. Tsirigos
Ke-Fei Yuan
GANOODMedIm
62
11
0
04 Aug 2021
Data synthesis and adversarial networks: A review and meta-analysis in
  cancer imaging
Data synthesis and adversarial networks: A review and meta-analysis in cancer imaging
Richard Osuala
Kaisar Kushibar
Lidia Garrucho
Akis Linardos
Zuzanna Szafranowska
Stefan Klein
Ben Glocker
Oliver Díaz
Karim Lekadir
MedIm
104
45
0
20 Jul 2021
Self adversarial attack as an augmentation method for
  immunohistochemical stainings
Self adversarial attack as an augmentation method for immunohistochemical stainings
Jelica Vasiljević
Friedrich Feuerhake
Cédric Wemmert
T. Lampert
MedIm
44
6
0
21 Mar 2021
Self-supervised driven consistency training for annotation efficient
  histopathology image analysis
Self-supervised driven consistency training for annotation efficient histopathology image analysis
C. Srinidhi
Seung Wook Kim
Fu-Der Chen
Anne L. Martel
SSL
101
111
0
07 Feb 2021
Overcoming Barriers to Data Sharing with Medical Image Generation: A
  Comprehensive Evaluation
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation
August DuMont Schütte
J. Hetzel
S. Gatidis
Tobias Hepp
Benedikt Dietz
Stefan Bauer
Patrick Schwab
MedIm
105
70
0
29 Nov 2020
Orientation-Disentangled Unsupervised Representation Learning for
  Computational Pathology
Orientation-Disentangled Unsupervised Representation Learning for Computational Pathology
Maxime W. Lafarge
J. Pluim
M. Veta
DRL
46
8
0
26 Aug 2020
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer
  Histology Images
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
Srijay Deshpande
F. Minhas
S. Graham
Nasir M. Rajpoot
MedIm
46
8
0
11 Aug 2020
Generative Adversarial Networks in Digital Pathology: A Survey on Trends
  and Future Potential
Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential
M. Tschuchnig
G. Oostingh
M. Gadermayr
MedImAI4CEGAN
100
91
0
30 Apr 2020
Learning a low dimensional manifold of real cancer tissue with
  PathologyGAN
Learning a low dimensional manifold of real cancer tissue with PathologyGAN
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
GANMedIm
51
9
0
13 Apr 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
185
584
0
28 Dec 2019
Generative Image Translation for Data Augmentation in Colorectal
  Histopathology Images
Generative Image Translation for Data Augmentation in Colorectal Histopathology Images
Jerry W. Wei
A. Suriawinata
L. Vaickus
Bing Ren
Xiaoying Liu
Jason W. Wei
Saeed Hassanpour
GANMedIm
57
73
0
13 Oct 2019
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