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1908.04568
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Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection
13 August 2019
Maxim Pisov
M. Goncharov
N. Kurochkina
S. Morozov
V. Gombolevskiy
V. Chernina
A. Vladzymyrskyy
Ksenia Zamyatina
A. Chesnokova
I. Pronin
M. Shifrin
Mikhail Belyaev
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Papers citing
"Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection"
7 / 7 papers shown
Title
A Framework for Interpretability in Machine Learning for Medical Imaging
Alan Q. Wang
Batuhan K. Karaman
Heejong Kim
Jacob Rosenthal
Rachit Saluja
Sean I. Young
M. Sabuncu
AI4CE
130
13
0
02 Oct 2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Shizhan Gong
Cheng Chen
Yuqi Gong
Nga Yan Chan
Wenao Ma
C. Mak
J. Abrigo
Qi Dou
DiffM
MedIm
71
7
0
01 Jan 2023
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
90
321
0
01 Nov 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Karim Lekadira
Richard Osuala
C. Gallin
Noussair Lazrak
Kaisar Kushibar
...
Nickolas Papanikolaou
Zohaib Salahuddin
Henry C. Woodruff
Philippe Lambin
L. Martí-Bonmatí
AI4TS
163
62
0
20 Sep 2021
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
Shen Wang
Kongming Liang
Yiming Li
Yizhou Yu
Yizhou Wang
33
7
0
10 Jul 2020
Explainable deep learning models in medical image analysis
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
102
502
0
28 May 2020
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI
Erico Tjoa
Cuntai Guan
XAI
170
1,466
0
17 Jul 2019
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