ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.09346
  4. Cited By
CorGAN: Correlation-Capturing Convolutional Generative Adversarial
  Networks for Generating Synthetic Healthcare Records
v1v2 (latest)

CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records

The Florida AI Research Society (FLAIRS), 2020
25 January 2020
A. Torfi
Edward A. Fox
    SyDa
ArXiv (abs)PDFHTMLGithub (57★)

Papers citing "CorGAN: Correlation-Capturing Convolutional Generative Adversarial Networks for Generating Synthetic Healthcare Records"

33 / 33 papers shown
Causal Synthetic Data Generation in Recruitment
Causal Synthetic Data Generation in Recruitment
Andrea Iommi
Antonio Mastropietro
Riccardo Guidotti
A. Monreale
Salvatore Ruggieri
224
0
0
20 Nov 2025
A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
A Hybrid Machine Learning Approach for Synthetic Data Generation with Post Hoc Calibration for Clinical Tabular Datasets
Md Ibrahim Shikder Mahin
Md Shamsul Arefin
Md Tanvir Hasan
SyDa
313
0
0
12 Oct 2025
CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records
Chao Pang
Jiheum Park
Xinzhuo Jiang
Nishanth P Pavinkurve
Krishna S. Kalluri
Shalmali Joshi
Noémie Elhadad
Karthik Natarajan
305
3
0
03 Sep 2025
TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data
TCDiff: Triplex Cascaded Diffusion for High-fidelity Multimodal EHRs Generation with Incomplete Clinical Data
Yandong Yan
Chenxi Li
Yu Huang
Dexuan Xu
Jiaqi Zhu
Zhongyan Chai
H. Zhang
DiffMMedIm
150
0
0
03 Aug 2025
Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV Series
Multi-Agent System for AI-Assisted Extraction of Narrative Arcs in TV SeriesInternational Conference on Agents and Artificial Intelligence (ICAART), 2025
Roberto Balestri
Guglielmo Pescatore
217
11
0
04 Mar 2025
Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer
Generating Clinically Realistic EHR Data via a Hierarchy- and Semantics-Guided Transformer
Guanglin Zhou
Sebastiano Barbieri
367
4
0
28 Feb 2025
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Deep Learning-Powered Electrical Brain Signals Analysis: Advancing Neurological Diagnostics
Jiahe Li
Xin Chen
Fanqi Shen
Junru Chen
Y. Liu
Daoze Zhang
Zhizhang Yuan
F. Zhao
Meng Li
Yang Yang
407
3
0
24 Feb 2025
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records
  using Decoder-Only Transformers
SynEHRgy: Synthesizing Mixed-Type Structured Electronic Health Records using Decoder-Only Transformers
Hojjat Karami
David Atienza
Anisoara Ionescu
386
6
0
20 Nov 2024
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
Mirza Farhan Bin Tarek
Raphael Poulain
Rahmatollah Beheshti
SyDa
543
4
0
04 Jun 2024
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare
XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare
Fatemeh Nazary
Yashar Deldjoo
Tommaso Di Noia
E. Sciascio
LM&MA
559
6
0
10 May 2024
DE-CGAN: Boosting rTMS Treatment Prediction with Diversity Enhancing
  Conditional Generative Adversarial Networks
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
235
0
0
25 Apr 2024
Guided Discrete Diffusion for Electronic Health Record Generation
Guided Discrete Diffusion for Electronic Health Record Generation
Jun Han
Zixiang Chen
Yongqian Li
Yiwen Kou
Eran Halperin
Robert E. Tillman
Quanquan Gu
MedImDiffM
307
10
0
18 Apr 2024
TimEHR: Image-based Time Series Generation for Electronic Health Records
TimEHR: Image-based Time Series Generation for Electronic Health Records
Hojjat Karami
Mary-Anne Hartley
David Atienza
Anisoara Ionescu
293
9
0
09 Feb 2024
Can I trust my fake data -- A comprehensive quality assessment framework
  for synthetic tabular data in healthcare
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare
V. Vallevik
Aleksandar Babic
S. Marshall
Severin Elvatun
Helga Brogger
S. Alagaratnam
B. Edwin
Narasimha Raghavan
Anne Kjersti Befring
J. F. Nygård
221
50
0
24 Jan 2024
Health Disparities through Generative AI Models: A Comparison Study
  Using A Domain Specific large language model
Health Disparities through Generative AI Models: A Comparison Study Using A Domain Specific large language modelFuture Technologies Conference (FT), 2023
Yohn Jairo Parra Bautista
Vinicious Lima
Carlos Theran
Richard A. Aló
LM&MA
125
6
0
23 Oct 2023
AI-Generated Images as Data Source: The Dawn of Synthetic Era
AI-Generated Images as Data Source: The Dawn of Synthetic Era
Zuhao Yang
Fangneng Zhan
Kunhao Liu
Muyu Xu
Shijian Lu
EGVM
552
30
0
03 Oct 2023
Methods for generating and evaluating synthetic longitudinal patient
  data: a systematic review
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
Katariina Perkonoja
Kari Auranen
Joni Virta
SyDa
350
7
0
21 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the
  state-of-the-art
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
303
149
0
30 Aug 2023
Generating tabular datasets under differential privacy
Generating tabular datasets under differential privacy
G. Truda
DiffM
283
10
0
28 Aug 2023
TransFusion: Generating Long, High Fidelity Time Series using Diffusion
  Models with Transformers
TransFusion: Generating Long, High Fidelity Time Series using Diffusion Models with TransformersMachine Learning with Applications (MLWA), 2023
Md Fahim Sikder
R. Ramachandranpillai
Fredrik Heintz
DiffM
304
22
0
24 Jul 2023
Synthesize High-dimensional Longitudinal Electronic Health Records via
  Hierarchical Autoregressive Language Model
Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language ModelNature Communications (Nat. Commun.), 2023
B. Theodorou
Cao Xiao
Jimeng Sun
304
58
0
04 Apr 2023
Synthetic Health-related Longitudinal Data with Mixed-type Variables
  Generated using Diffusion Models
Synthetic Health-related Longitudinal Data with Mixed-type Variables Generated using Diffusion Models
N. Kuo
Louisa R Jorm
S. Barbieri
DiffM
212
20
0
22 Mar 2023
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
Hongyi Yuan
Songchi Zhou
Sheng Yu
DiffMMedIm
283
31
0
10 Mar 2023
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
Synthesizing Mixed-type Electronic Health Records using Diffusion Models
T. Ceritli
Ghadeer O. Ghosheh
V. Chauhan
T. Zhu
Andrew P. Creagh
David Clifton
MedImDiffM
303
23
0
28 Feb 2023
MedDiff: Generating Electronic Health Records using Accelerated
  Denoising Diffusion Model
MedDiff: Generating Electronic Health Records using Accelerated Denoising Diffusion Model
Huan He
Shifan Zhao
Yuanzhe Xi
Joyce C. Ho
MedImDiffM
190
38
0
08 Feb 2023
Machine Learning for Synthetic Data Generation: A Review
Machine Learning for Synthetic Data Generation: A Review
Ying-Cheng Lu
Minjie Shen
Huazheng Wang
Xiao Wang
Capucine Van Rechem
Tianfan Fu
Wenqi Wei
SyDa
1.2K
268
0
08 Feb 2023
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive
  Survey
Non-Imaging Medical Data Synthesis for Trustworthy AI: A Comprehensive SurveyACM Computing Surveys (ACM CSUR), 2022
Xiaodan Xing
Huanjun Wu
Lichao Wang
Iain Stenson
M. Yong
Javier Del Ser
Simon Walsh
Guang Yang
219
24
0
17 Sep 2022
Generation of Synthetic Electronic Health Records Using a Federated GAN
Generation of Synthetic Electronic Health Records Using a Federated GAN
Jo C Weldon
T. Ward
Eoin Brophy
SyDa
211
16
0
06 Sep 2021
Generative Adversarial Networks: A Survey Towards Private and Secure
  Applications
Generative Adversarial Networks: A Survey Towards Private and Secure ApplicationsACM Computing Surveys (CSUR), 2021
Zhipeng Cai
Zuobin Xiong
Honghui Xu
Peng-Shuai Wang
Wei Li
Yi-Lun Pan
309
189
0
07 Jun 2021
An overview of deep learning techniques for epileptic seizures detection
  and prediction based on neuroimaging modalities: Methods, challenges, and
  future works
An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works
A. Shoeibi
Parisa Moridian
Marjane Khodatars
Navid Ghassemi
M. Jafari
...
Juan M Gorriz
Javier Ramírez
Abbas Khosravi
S. Nahavandi
U. Acharya
475
69
0
29 May 2021
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial
  Networks
Causal-TGAN: Generating Tabular Data Using Causal Generative Adversarial Networks
Bingyang Wen
Luis Oliveros Colon
K. P. Subbalakshmi
R. Chandramouli
CMLGAN
218
22
0
21 Apr 2021
On Utility and Privacy in Synthetic Genomic Data
On Utility and Privacy in Synthetic Genomic DataNetwork and Distributed System Security Symposium (NDSS), 2021
Bristena Oprisanu
Georgi Ganev
Emiliano De Cristofaro
267
25
0
05 Feb 2021
Differentially Private Synthetic Medical Data Generation using
  Convolutional GANs
Differentially Private Synthetic Medical Data Generation using Convolutional GANsInformation Sciences (Inf. Sci.), 2020
A. Torfi
Edward A. Fox
Chandan K. Reddy
SyDaMedIm
205
150
0
22 Dec 2020
1
Page 1 of 1