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1807.06843
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Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling
18 July 2018
C. Biffi
Ozan Oktay
G. Tarroni
Wenjia Bai
A. de Marvao
Georgia Doumou
Martin Rajchl
R. Bedair
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
MedIm
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Papers citing
"Learning Interpretable Anatomical Features Through Deep Generative Models: Application to Cardiac Remodeling"
16 / 16 papers shown
Title
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
26
144
0
24 Jul 2023
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants
Isil Guzey
Ozlem Ucar
N. A. Çiftdemir
B. Acunaş
27
1
0
17 Dec 2022
InstantGroup: Instant Template Generation for Scalable Group of Brain MRI Registration
Ziyi He
Albert C. S. Chung
24
1
0
10 Nov 2022
Scoliosis Detection using Deep Neural Network
Y. Nguyen
31
1
0
31 Oct 2022
Unsupervised Local Discrimination for Medical Images
Huai Chen
Renzhen Wang
Xiuying Wang
Jieyu Li
Qu Fang
Hui Li
Jianhao Bai
Qing Peng
Deyu Meng
Lisheng Wang
SSL
20
7
0
21 Aug 2021
Robust Disentanglement of a Few Factors at a Time
Benjamin Estermann
Markus Marks
M. Yanik
CoGe
OOD
DRL
21
3
0
26 Oct 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
58
627
0
02 Aug 2020
On Interpretability of Artificial Neural Networks: A Survey
Fenglei Fan
Jinjun Xiong
Mengzhou Li
Ge Wang
AAML
AI4CE
43
301
0
08 Jan 2020
Deep learning for cardiac image segmentation: A review
Chen Chen
C. Qin
Huaqi Qiu
G. Tarroni
Jinming Duan
Wenjia Bai
Daniel Rueckert
SSeg
3DV
64
675
0
09 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
41
6,125
0
22 Oct 2019
Explainable Anatomical Shape Analysis through Deep Hierarchical Generative Models
C. Biffi
Juan J. Cerrolaza
G. Tarroni
Wenjia Bai
A. de Marvao
...
Jinming Duan
S. Prasad
S. Cook
D. O’Regan
Daniel Rueckert
MedIm
23
46
0
28 Jun 2019
Learning Interpretable Features via Adversarially Robust Optimization
Ashkan Khakzar
Shadi Albarqouni
Nassir Navab
MedIm
FAtt
9
14
0
09 May 2019
Disentangled Representation Learning in Cardiac Image Analysis
A. Chartsias
T. Joyce
G. Papanastasiou
M. Williams
D. Newby
R. Dharmakumar
Sotirios A. Tsaftaris
DRL
25
126
0
22 Mar 2019
Deep Learning in Cardiology
Paschalis A. Bizopoulos
D. Koutsouris
MedIm
27
136
0
22 Feb 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
29
200
0
15 Feb 2019
Learning a Probabilistic Model for Diffeomorphic Registration
Julian Krebs
H. Delingette
B. Mailhé
N. Ayache
Tommaso Mansi
DiffM
MedIm
28
193
0
18 Dec 2018
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