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MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging

5 May 2024
Yuanye Liu
Zheyao Gao
Nannan Shi
Fuping Wu
Yuxin Shi
Qingchao Chen
Xiahai Zhuang
ArXivPDFHTML

Papers citing "MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging"

4 / 4 papers shown
Title
Robust Feature-Level Adversaries are Interpretability Tools
Robust Feature-Level Adversaries are Interpretability Tools
Stephen Casper
Max Nadeau
Dylan Hadfield-Menell
Gabriel Kreiman
AAML
48
27
0
07 Oct 2021
Towards Learning Convolutions from Scratch
Towards Learning Convolutions from Scratch
Behnam Neyshabur
SSL
220
71
0
27 Jul 2020
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
304
10,618
0
19 Feb 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1