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. 2203.10417
  4. Cited By
Attri-VAE: attribute-based interpretable representations of medical
  images with variational autoencoders

Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders

20 March 2022
Irem Cetin
Maialen Stephens
Oscar Camara
M. A. G. Ballester
    DRL
ArXivPDFHTML

Papers citing "Attri-VAE: attribute-based interpretable representations of medical images with variational autoencoders"

14 / 14 papers shown
Title
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging
OWT: A Foundational Organ-Wise Tokenization Framework for Medical Imaging
Sifan Song
Siyeop Yoon
Pengfei Jin
Sekeun Kim
Matthew Tivnan
...
Zhiliang Lyu
Dufan Wu
Ning Guo
Xiang Li
Quanzheng Li
OOD
ViT
52
0
0
08 May 2025
DeepSPV: An Interpretable Deep Learning Pipeline for 3D Spleen Volume Estimation from 2D Ultrasound Images
Z. Yuan
D. Stojanovski
Lei Li
A. Gómez
Haran Jogeesvaran
Esther Puyol-Antón
B. Inusa
A. King
33
0
0
17 Nov 2024
FairSkin: Fair Diffusion for Skin Disease Image Generation
FairSkin: Fair Diffusion for Skin Disease Image Generation
Ruichen Zhang
Yuguang Yao
Zhen Tan
Z. Li
Pan Wang
Huan Liu
Jingtong Hu
Sijia Liu
Tianlong Chen
MedIm
20
0
0
29 Oct 2024
Interpretable Representation Learning of Cardiac MRI via Attribute
  Regularization
Interpretable Representation Learning of Cardiac MRI via Attribute Regularization
Maxime Di Folco
Cosmin I. Bercea
Emily Chan
Julia A. Schnabel
39
0
0
12 Jun 2024
On the Road to Clarity: Exploring Explainable AI for World Models in a
  Driver Assistance System
On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System
Mohamed Roshdi
Julian Petzold
Mostafa Wahby
Hussein Ebrahim
Mladen Berekovic
Heiko Hamann
22
0
0
26 Apr 2024
Disentangling Hippocampal Shape Variations: A Study of Neurological
  Disorders Using Graph Variational Autoencoder with Contrastive Learning
Disentangling Hippocampal Shape Variations: A Study of Neurological Disorders Using Graph Variational Autoencoder with Contrastive Learning
Jakaria Rabbi
Johannes Kiechle
Christian Beaulieu
Nilanjan Ray
Dana Cobzas
19
0
0
31 Mar 2024
Advancing Generative Model Evaluation: A Novel Algorithm for Realistic
  Image Synthesis and Comparison in OCR System
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
22
1
0
27 Feb 2024
Attribute Regularized Soft Introspective Variational Autoencoder for
  Interpretable Cardiac Disease Classification
Attribute Regularized Soft Introspective Variational Autoencoder for Interpretable Cardiac Disease Classification
Maxime Di Folco
Cosmin I. Bercea
Julia A. Schnabel
14
0
0
14 Dec 2023
CLIP in Medical Imaging: A Comprehensive Survey
CLIP in Medical Imaging: A Comprehensive Survey
Zihao Zhao
Yuxiao Liu
Han Wu
Yonghao Li
Sheng Wang
L. Teng
Disheng Liu
Zhiming Cui
Qian Wang
Dinggang Shen
CLIP
MedIm
LM&MA
VLM
21
43
0
12 Dec 2023
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
SADIR: Shape-Aware Diffusion Models for 3D Image Reconstruction
Nivetha Jayakumar
Tonmoy Hossain
Miaomiao Zhang
DiffM
26
6
0
06 Sep 2023
Deep Learning Framework for Spleen Volume Estimation from 2D
  Cross-sectional Views
Deep Learning Framework for Spleen Volume Estimation from 2D Cross-sectional Views
Z. Yuan
Esther Puyol-Antón
Haran Jogeesvaran
B. Inusa
A. King
8
0
0
15 Aug 2023
Attribute Regularized Soft Introspective VAE: Towards Cardiac Attribute Regularization Through MRI Domains
Maxime Di Folco
Cosmin I. Bercea
J. Schnabel
10
0
0
24 Jul 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific
  Counterfactuals
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals
Susu Sun
S. Woerner
Andreas K. Maier
Lisa M. Koch
Christian F. Baumgartner
FAtt
17
15
0
01 Mar 2023
Deep Learning methods for automatic evaluation of delayed
  enhancement-MRI. The results of the EMIDEC challenge
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge
A. Lalande
Zhihao Chen
T. Pommier
Thomas Decourselle
Abdul Qayyum
...
Yichi Zhang
Yuncheng Zhou
Xiahai Zhuang
R. Couturier
F. Mériaudeau
29
42
0
09 Aug 2021
1