ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1810.00236
  4. Cited By
Deep Adversarial Training for Multi-Organ Nuclei Segmentation in
  Histopathology Images

Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

29 September 2018
Faisal Mahmood
Daniel Borders
Richard J. Chen
Gregory N. McKay
Kevan J. Salimian
Alexander S. Baras
Nicholas J. Durr
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images"

24 / 24 papers shown
Title
Recent Advances in Medical Imaging Segmentation: A Survey
Recent Advances in Medical Imaging Segmentation: A Survey
Fares Bougourzi
Abdenour Hadid
OOD
44
0
0
14 May 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
Jiuyang Dong
Junjun Jiang
Kui Jiang
Jiahan Li
Yongbing Zhang
45
0
0
28 Feb 2025
Domain Generalization in Computational Pathology: Survey and Guidelines
Domain Generalization in Computational Pathology: Survey and Guidelines
Mostafa Jahanifar
M. Raza
Kesi Xu
T. Vuong
R. Jewsbury
...
Neda Zamanitajeddin
Jin Tae Kwak
S. Raza
F. Minhas
Nasir M. Rajpoot
OOD
28
17
0
30 Oct 2023
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Good Instance Classifier is All You Need
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need
Linhao Qu
Yingfan Ma
Xiao-Zhuo Luo
Manning Wang
Zhijian Song
VLM
24
18
0
05 Jul 2023
Aligning Synthetic Medical Images with Clinical Knowledge using Human
  Feedback
Aligning Synthetic Medical Images with Clinical Knowledge using Human Feedback
Shenghuan Sun
Gregory M. Goldgof
A. Butte
Ahmed Alaa
MedIm
19
12
0
16 Jun 2023
30 Years of Synthetic Data
30 Years of Synthetic Data
Joerg Drechsler
Anna Haensch
30
15
0
04 Apr 2023
Structure Embedded Nucleus Classification for Histopathology Images
Structure Embedded Nucleus Classification for Histopathology Images
Wei Lou
Xiang Wan
Guanbin Li
X. Lou
Chenghang Li
Feng Gao
Haofeng Li
18
9
0
22 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
20
9
0
28 Dec 2022
Artifact Removal in Histopathology Images
Artifact Removal in Histopathology Images
Cameron Dahan
Stergios Christodoulidis
Maria Vakalopoulou
Joseph Boyd
MedIm
24
1
0
29 Nov 2022
Diffusion Adversarial Representation Learning for Self-supervised Vessel
  Segmentation
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation
Boah Kim
Y. Oh
Jong Chul Ye
DiffM
MedIm
46
67
0
29 Sep 2022
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative
  Review
Nuclei & Glands Instance Segmentation in Histology Images: A Narrative Review
Esha Sadia Nasir
Arshi Parvaiz
M. Fraz
26
14
0
26 Aug 2022
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation
  in 3D Cardiovascular Immunofluorescent Images
Weakly Supervised Deep Instance Nuclei Detection using Points Annotation in 3D Cardiovascular Immunofluorescent Images
Nazanin Moradinasab
Yash Sharma
Laura S. Shankman
Gary K. Owens
Donald E. Brown
21
1
0
29 Jul 2022
Deep Learning for Computational Cytology: A Survey
Deep Learning for Computational Cytology: A Survey
Hao Jiang
Yanning Zhou
Yi-Mou Lin
R. Chan
Jiangshu Liu
Hao Chen
19
75
0
10 Feb 2022
Neuroplastic graph attention networks for nuclei segmentation in
  histopathology images
Neuroplastic graph attention networks for nuclei segmentation in histopathology images
Yoav Alon
Huiyu Zhou
GNN
27
3
0
10 Jan 2022
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision
  and Meta-Learning
Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning
Nassim Bouteldja
B. Klinkhammer
Tarek Schlaich
P. Boor
Dorit Merhof
MedIm
34
20
0
16 Dec 2021
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and
  Synthetic Data
Segmentation of Lungs COVID Infected Regions by Attention Mechanism and Synthetic Data
Parham Yazdekhasty
Ali Zindari
Zahra Nabizadeh-ShahreBabak
P. Khadivi
N. Karimi
S. Samavi
17
2
0
19 Aug 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
GAN
OOD
MedIm
14
11
0
04 Aug 2021
A Survey on Graph-Based Deep Learning for Computational Histopathology
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
GNN
AI4CE
19
107
0
01 Jul 2021
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for
  nucleus classification, localization and segmentation
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
M. Amgad
Lamees A. Atteya
Hagar Hussein
K. Mohammed
Ehab Hafiz
...
Critical Care
David Manthey
Atlanta
D. Neurology
Lurie Cancer Center
32
73
0
18 Feb 2021
VR-Caps: A Virtual Environment for Capsule Endoscopy
VR-Caps: A Virtual Environment for Capsule Endoscopy
Kagan Incetan
Ibrahim Omer Celik
A. Obeid
Guliz Irem Gokceler
Kutsev Bengisu Ozyoruk
...
Richard J. Chen
Faisal Mahmood
Hunter B. Gilbert
Nicholas J. Durr
Mehmet Turan
MedIm
27
65
0
29 Aug 2020
Target-Independent Domain Adaptation for WBC Classification using
  Generative Latent Search
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Prashant Pandey
A. Prathosh
Vinay Kyatham
Deepak Mishra
T. R. Dastidar
OOD
MedIm
23
25
0
11 May 2020
Weakly Supervised Prostate TMA Classification via Graph Convolutional
  Networks
Weakly Supervised Prostate TMA Classification via Graph Convolutional Networks
Jingwen Wang
Richard J. Chen
Ming Y. Lu
Alexander S. Baras
Faisal Mahmood
MedIm
17
57
0
29 Oct 2019
PathologyGAN: Learning deep representations of cancer tissue
PathologyGAN: Learning deep representations of cancer tissue
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
MedIm
GAN
9
85
0
04 Jul 2019
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
1