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. 1904.00838
  4. Cited By
Learning More with Less: GAN-based Medical Image Augmentation

Learning More with Less: GAN-based Medical Image Augmentation

29 March 2019
Changhee Han
K. Murao
Shiníchi Satoh
Hideki Nakayama
    MedIm
    GAN
ArXivPDFHTML

Papers citing "Learning More with Less: GAN-based Medical Image Augmentation"

4 / 4 papers shown
Title
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
43
4
0
04 Feb 2022
Bridging the gap between AI and Healthcare sides: towards developing
  clinically relevant AI-powered diagnosis systems
Bridging the gap between AI and Healthcare sides: towards developing clinically relevant AI-powered diagnosis systems
Changhee Han
L. Rundo
K. Murao
T. Nemoto
Hideki Nakayama
MedIm
30
27
0
12 Jan 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
45
667
0
16 Oct 2019
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative
  Adversarial Networks for Robust Lung Segmentation
CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation
D. Jin
Ziyue Xu
Youbao Tang
Adam P. Harrison
D. Mollura
MedIm
57
185
0
11 Jun 2018
1