Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1801.02385
Cited By
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification
8 January 2018
Maayan Frid-Adar
Eyal Klang
Michal Amitai
Jacob Goldberger
H. Greenspan
MedIm
GAN
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification"
50 / 194 papers shown
Title
VibrantLeaves: A principled parametric image generator for training deep restoration models
Raphaël Achddou
Y. Gousseau
Saïd Ladjal
Sabine Süsstrunk
37
0
0
14 Apr 2025
FetalFlex: Anatomy-Guided Diffusion Model for Flexible Control on Fetal Ultrasound Image Synthesis
Yaofei Duan
Tao Tan
Zhiyuan Zhu
Yuhao Huang
Yuanji Zhang
...
Guangzhi He
Linliang Yin
Xuedong Deng
Xin Yang
Dong Ni
MedIm
66
0
0
19 Mar 2025
AugGen: Synthetic Augmentation Can Improve Discriminative Models
Parsa Rahimi
Damien Teney
S´ebastien Marcel
69
0
0
14 Mar 2025
A Decade of Deep Learning: A Survey on The Magnificent Seven
Dilshod Azizov
Muhammad Arslan Manzoor
Velibor Bojkovic
Yingxu Wang
Zhongqi Wang
...
Liang Li
Siwei Liu
Yu Zhong
Wei Liu
Shangsong Liang
OOD
AI4TS
MedIm
129
0
0
13 Dec 2024
FairSkin: Fair Diffusion for Skin Disease Image Generation
Ruichen Zhang
Yuguang Yao
Zhen Tan
ZeLin Li
Pan Wang
Huan Liu
Jingtong Hu
Sijia Liu
Tianlong Chen
MedIm
30
0
0
29 Oct 2024
SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
Xilin He
Cheng Luo
Xiaole Xian
Bing Li
Siyang Song
Muhammad Haris Khan
Weicheng Xie
L. Shen
Zongyuan Ge
46
3
0
13 Oct 2024
Learning Gaussian Data Augmentation in Feature Space for One-shot Object Detection in Manga
Takara Taniguchi
Ryosuke Furuta
31
1
0
08 Oct 2024
Ordinary Differential Equations for Enhanced 12-Lead ECG Generation
Yakir Yehuda
Kira Radinsky
SyDa
21
0
0
26 Sep 2024
Data Augmentation for Sparse Multidimensional Learning Performance Data Using Generative AI
Liang Zhang
Jionghao Lin
John Sabatini
Conrad Borchers
Daniel Weitekamp
Meng Cao
John Hollander
Xiangen Hu
Arthur C. Graesser
49
2
0
24 Sep 2024
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
Matan Atad
D. Schinz
Hendrik Moeller
Robert Graf
Benedikt Wiestler
Daniel Rueckert
Nassir Navab
Jan S. Kirschke
Matthias Keicher
CML
DiffM
MedIm
44
3
0
02 Aug 2024
Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIs
Karl Van Eeden Risager
Torkan Gholamalizadeh
Mostafa Mehdipour-Ghazi
DiffM
MedIm
21
2
0
20 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
Chao Feng
Alberto Huertas Celdrán
Jan von der Assen
Enrique Tomás Martínez Beltrán
Gérome Bovet
Burkhard Stiller
OOD
AAML
56
8
0
11 Jul 2024
Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion Models
Marek Wodzinski
K. Kwarciak
Mateusz Daniol
D. Hemmerling
DiffM
MedIm
39
4
0
10 Jun 2024
Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environments
Zachari Thiry
Massimiliano Ruocco
Alessandro Nocente
Michail Spitieris
24
0
0
07 Jun 2024
Improving Object Detector Training on Synthetic Data by Starting With a Strong Baseline Methodology
Frank Ruis
Alma M. Liezenga
Friso G. Heslinga
Luca Ballan
Thijs A. Eker
Richard J. M. den Hollander
Martin C. van Leeuwen
Judith Dijk
Wyke Huizinga
38
4
0
30 May 2024
RetAssist: Facilitating Vocabulary Learners with Generative Images in Story Retelling Practices
Qiaoyi Chen
Siyu Liu
Kaihui Huang
Xingbo Wang
Xiaojuan Ma
Junkai Zhu
Zhenhui Peng
43
3
0
23 May 2024
Generative Artificial Intelligence: A Systematic Review and Applications
S. S. Sengar
Affan Bin Hasan
Sanjay Kumar
Fiona Carroll
MedIm
38
52
0
17 May 2024
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models?
Engin Uzun
Erdem Akagündüz
45
0
0
10 May 2024
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing Conditional Generative Adversarial Networks
Matthew Squires
Xiaohui Tao
Soman Elangovan
R. Gururajan
Haoran Xie
Xujuan Zhou
Yuefeng Li
Rajendra Acharya
45
0
0
25 Apr 2024
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
Zhixin Pan
Emma Andrews
Laura Chang
Prabhat Mishra
MU
46
1
0
19 Apr 2024
Best Practices and Lessons Learned on Synthetic Data for Language Models
Ruibo Liu
Jerry W. Wei
Fangyu Liu
Chenglei Si
Yanzhe Zhang
...
Steven Zheng
Daiyi Peng
Diyi Yang
Denny Zhou
Andrew M. Dai
SyDa
EgoV
43
87
0
11 Apr 2024
DODA: Adapting Object Detectors to Dynamic Agricultural Environments in Real-Time with Diffusion
Shuai Xiang
Pieter M. Blok
James Burridge
Haozhou Wang
Wei Guo
39
0
0
27 Mar 2024
A survey of synthetic data augmentation methods in computer vision
A. Mumuni
F. Mumuni
N. K. Gerrar
42
19
0
15 Mar 2024
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
Majid Memari
Khaled R. Ahmed
Shahram Rahimi
Noorbakhsh Amiri Golilarz
EGVM
43
1
0
27 Feb 2024
Understanding Test-Time Augmentation
Masanari Kimura
ViT
24
29
0
10 Feb 2024
Segmentation and Characterization of Macerated Fibers and Vessels Using Deep Learning
Saqib Qamar
Abu Imran Baba
Stéphane Verger
Magnus Andersson
11
3
0
30 Jan 2024
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanation
Ming-Yi Hong
Yi-Hsiang Huang
Shao-En Lin
You-Chen Teng
Chih-Yu Wang
Che Lin
47
0
0
07 Jan 2024
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
Xiangyu Xiong
Yue Sun
Xiaohong Liu
Wei Ke
C. Lam
...
Hui Xie
Tong Tong
Qinquan Gao
Haoming Chen
Tao Tan
GAN
26
0
0
29 Dec 2023
RadImageGAN -- A Multi-modal Dataset-Scale Generative AI for Medical Imaging
Zelong Liu
Alexander Zhou
Arnold Yang
Alara Yilmaz
Maxwell Yoo
...
Daiqing Li
Z. Fayad
Sean Huver
T. Deyer
X. Mei
MedIm
30
2
0
10 Dec 2023
MedXChat: A Unified Multimodal Large Language Model Framework towards CXRs Understanding and Generation
Ling Yang
Zhanyu Wang
Zhenghao Chen
Xinyu Liang
Luping Zhou
LM&MA
MedIm
61
6
0
04 Dec 2023
Green Edge AI: A Contemporary Survey
Yuyi Mao
X. Yu
Kaibin Huang
Ying-Jun Angela Zhang
Jun Zhang
49
17
0
01 Dec 2023
ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation
Jacob Schnell
Jieke Wang
Lu Qi
Vincent Tao Hu
Meng Tang
DiffM
28
3
0
28 Nov 2023
A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classification
Xiangyu Xiong
Yue Sun
Xiaohong Liu
C. Lam
Tong Tong
Haoming Chen
Qinquan Gao
Wei Ke
Tao Tan
GAN
MedIm
44
4
0
24 Nov 2023
MoCo-Transfer: Investigating out-of-distribution contrastive learning for limited-data domains
Yuwen Chen
Helen Zhou
Zachary Chase Lipton
27
1
0
15 Nov 2023
Data efficient deep learning for medical image analysis: A survey
Suruchi Kumari
Pravendra Singh
45
12
0
10 Oct 2023
How Good Are Synthetic Medical Images? An Empirical Study with Lung Ultrasound
Menghan Yu
Sourabh Kulhare
C. Mehanian
Charles B. Delahunt
Daniel E Shea
Zohreh Laverriere
Ishan Shah
M. Horning
MedIm
11
2
0
05 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
33
18
0
03 Oct 2023
Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic
Yuqi Qing
Qilei Yin
Xinhao Deng
Yihao Chen
Zhuotao Liu
Kun Sun
Ke Xu
Jia Zhang
Qi Li
AAML
21
17
0
09 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty
Ujjwal Reddy K S
Shraddha M. Naik
Madhurima Panja
B. Manvitha
37
62
0
30 Aug 2023
Learning Sequential Information in Task-based fMRI for Synthetic Data Augmentation
Jiyao Wang
Nicha Dvornek
Lawrence H. Staib
James S. Duncan
MedIm
31
2
0
29 Aug 2023
Wasserstein Geodesic Generator for Conditional Distributions
Young-geun Kim
Kyungbok Lee
Youngwon Choi
Joong-Ho Won
M. Paik
28
4
0
20 Aug 2023
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
Haichao Zhang
Can Qin
Yu Yin
Yun Fu
31
2
0
13 Aug 2023
Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
Karen Sanchez
Carlos Hinojosa
Kevin Arias
Henry Arguello
Denis Kouamé
O. Meyrignac
Adrian Basarab
MedIm
13
1
0
30 Jul 2023
Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi
Daiki Chijiwa
Sekitoshi Kanai
Atsutoshi Kumagai
H. Kashima
44
5
0
26 Jul 2023
Self-Supervised and Semi-Supervised Polyp Segmentation using Synthetic Data
Enric Moreu
Eric Arazo
Kevin McGuinness
Noel E. O'Connor
43
1
0
22 Jul 2023
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Saypraseuth Mounsaveng
I. Laradji
David Vázquez
M. Pedersoli
Ismail Ben Ayed
OOD
25
1
0
21 Jul 2023
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans
Fakai Wang
Chi-Tung Cheng
Chien-Wei Peng
K. Yan
Min Wu
Le Lu
Chien-Hung Liao
Ling Zhang
MedIm
18
4
0
28 Jun 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability
Marco Alecci
Mauro Conti
Francesco Marchiori
L. Martinelli
Luca Pajola
AAML
32
7
0
27 Jun 2023
Bridging the Domain Gap between Synthetic and Real-World Data for Autonomous Driving
Xiangyu Bai
Yedi Luo
Le Jiang
Aniket Gupta
Pushyami Kaveti
H. Singh
Sarah Ostadabbas
19
2
0
05 Jun 2023
Utility Theory of Synthetic Data Generation
Shi Xu
W. Sun
Guang Cheng
31
5
0
17 May 2023
1
2
3
4
Next