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Conditional Infilling GANs for Data Augmentation in Mammogram Classification
21 July 2018
Eric Wu
K. Wu
David D. Cox
William Lotter
MedIm
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Papers citing
"Conditional Infilling GANs for Data Augmentation in Mammogram Classification"
36 / 36 papers shown
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Analyzing Tumors by Synthesis
Qi Chen
Yuxiang Lai
Xiaoxi Chen
Qixin Hu
Alan Yuille
Zongwei Zhou
296
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Generation of synthetic data using breast cancer dataset and classification with resnet18
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S. Gündüç
SyDa
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120
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CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
IEEE International Conference on Computer Vision (ICCV), 2023
Sookwan Han
Hanbyul Joo
325
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0
23 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
288
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0
29 Jun 2023
Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach
Carmina Pérez-Guerrero
J. F. Ciprián-Sánchez
A. Palacios
Gilberto Ochoa-Ruiz
M. González-Mendoza
V. Foroughi
E. Pastor
Gerardo Rodriguez-Hernandez
AI4CE
282
1
0
05 Jun 2022
A Survey on Training Challenges in Generative Adversarial Networks for Biomedical Image Analysis
Artificial Intelligence Review (Artif Intell Rev), 2022
Muhammad Muneeb Saad
Ruairi O'Reilly
M. H. Rehmani
MedIm
477
88
0
19 Jan 2022
GAN-Supervised Dense Visual Alignment
William S. Peebles
Jun-Yan Zhu
Richard Y. Zhang
Antonio Torralba
Alexei A. Efros
Eli Shechtman
479
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0
09 Dec 2021
Overcoming limited battery data challenges: A coupled neural network approach
A. Herle
Janamejaya Channegowda
Dinakar Prabhu
187
15
0
05 Oct 2021
CCS-GAN: COVID-19 CT-scan classification with very few positive training images
Sumeet Menon
Jayalakshmi Mangalagiri
Joshua Galita
Michael Morris
Babak Saboury
Y. Yesha
Yelena Yesha
Phuong Nguyen
A. Gangopadhyay
David Chapman
MedIm
219
3
0
01 Oct 2021
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
422
67
0
20 Jul 2021
Ebola Optimization Search Algorithm (EOSA): A new metaheuristic algorithm based on the propagation model of Ebola virus disease
O. N. Oyelade
Ezugwu E. Absalom
265
28
0
02 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis
Xuxin Chen
Ximing Wang
Kecheng Zhang
K. Fung
T. Thai
K. Moore
Robert S. Mannel
Hong Liu
B. Zheng
Y. Qiu
OOD
483
880
0
27 May 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Clément Chadebec
Elina Thibeau-Sutre
Ninon Burgos
S. Allassonnière
450
90
0
30 Apr 2021
Ensembling with Deep Generative Views
Computer Vision and Pattern Recognition (CVPR), 2021
Lucy Chai
Jun-Yan Zhu
Eli Shechtman
Phillip Isola
Richard Y. Zhang
GAN
255
74
0
29 Apr 2021
METGAN: Generative Tumour Inpainting and Modality Synthesis in Light Sheet Microscopy
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Izabela Horvath
Johannes C. Paetzold
Oliver Schoppe
Rami Al-Maskari
Ivan Ezhov
Antonio Terpin
Hongwei Bran Li
Ali Ertuerk
Bjoern Menze
MedIm
253
12
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22 Apr 2021
GAN-Based Data Augmentation and Anonymization for Skin-Lesion Analysis: A Critical Review
Alceu Bissoto
Eduardo Valle
Sandra Avila
MedIm
267
87
0
20 Apr 2021
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Knowledge-Based Systems (KBS), 2021
Qiangguo Jin
Hui Cui
Changming Sun
Zhaopeng Meng
R. Su
GAN
MedIm
241
55
0
20 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Expert systems with applications (ESWA), 2021
Xin Ding
Z. J. Wang
Zuheng Xu
Z. Jane Wang
William J. Welch
456
23
0
07 Apr 2021
COIN: Contrastive Identifier Network for Breast Mass Diagnosis in Mammography
Heyi Li
Dongdong Chen
W. Nailon
Mike E. Davies
Dave Laurenson
164
1
0
29 Dec 2020
Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification
Chu-ran Wang
Jing Li
Fandong Zhang
Xinwei Sun
Hao Dong
Yizhou Yu
Yizhou Wang
GAN
MedIm
169
18
0
30 Sep 2020
Automatic Breast Lesion Classification by Joint Neural Analysis of Mammography and Ultrasound
Gavriel Habib
N. Kiryati
M. Sklair-Levy
A. Shalmon
O. H. Neiman
Renata Faermann Weidenfeld
Y. Yagil
Eli Konen
Arnaldo Mayer
243
10
0
23 Sep 2020
Langevin Cooling for Domain Translation
Vignesh Srinivasan
Klaus-Robert Muller
Wojciech Samek
Shinichi Nakajima
258
1
0
31 Aug 2020
Semi-supervised Task-driven Data Augmentation for Medical Image Segmentation
K. Chaitanya
Neerav Karani
Christian F. Baumgartner
Ertunc Erdil
Anton S. Becker
O. Donati
E. Konukoglu
MedIm
359
110
0
09 Jul 2020
Data Augmentation using Generative Adversarial Networks (GANs) for GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images
Saman Motamed
Patrik Rogalla
Farzad Khalvati
MedIm
297
4
0
05 Jun 2020
Synthesizing lesions using contextual GANs improves breast cancer classification on mammograms
Eric Wu
K. Wu
William Lotter
GAN
MedIm
206
20
0
29 May 2020
Generative Adversarial Networks for Bitcoin Data Augmentation
Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), 2020
Francesco Zola
Jan L. Bruse
Xabier Etxeberria Barrio
M. Galar
Raul Orduna Urrutia
GAN
207
9
0
27 May 2020
Bias Remediation in Driver Drowsiness Detection systems using Generative Adversarial Networks
IEEE Access (IEEE Access), 2019
Mkhuseli Ngxande
J. Tapamo
Michael G. Burke
328
45
0
10 Dec 2019
Safe Augmentation: Learning Task-Specific Transformations from Data
Irynei Baran
Orest Kupyn
A. Kravchenko
289
2
0
30 Jul 2019
Signed Laplacian Deep Learning with Adversarial Augmentation for Improved Mammography Diagnosis
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
Heyi Li
Dongdong Chen
W. Nailon
Mike E. Davies
Dave Laurenson
MedIm
280
16
0
30 Jun 2019
Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection
IEEE Access (IEEE Access), 2019
Changhee Han
L. Rundo
Ryosuke Araki
Yudai Nagano
Yujiro Furukawa
G. Mauri
Hideki Nakayama
Hideaki Hayashi
MedIm
271
191
0
31 May 2019
Class-Aware Adversarial Lung Nodule Synthesis in CT Images
J. Yang
Siqi Liu
Sasa Grbic
A. Setio
Zhoubing Xu
Eli Gibson
G. Chabin
Bogdan Georgescu
Andrew F. Laine
Dorin Comaniciu
MedIm
GAN
317
30
0
28 Dec 2018
Data Fine-tuning
S. Chhabra
P. Majumdar
Mayank Vatsa
Richa Singh
AAML
295
14
0
10 Dec 2018
Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition
Siqi Liu
Eli Gibson
Sasa Grbic
Zhoubing Xu
A. Setio
J. Yang
Bogdan Georgescu
Dorin Comaniciu
DiffM
MedIm
341
18
0
04 Dec 2018
Towards generative adversarial networks as a new paradigm for radiology education
S. G. Finlayson
Hyunkwang Lee
I. Kohane
Luke Oakden-Rayner
GAN
MedIm
209
24
0
04 Dec 2018
Imagining an Engineer: On GAN-Based Data Augmentation Perpetuating Biases
Niharika Jain
L. Manikonda
Alberto Olmo Hernandez
Sailik Sengupta
Michael J. Butler
181
13
0
09 Nov 2018
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