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Incorporating Task-Specific Structural Knowledge into CNNs for Brain
  Midline Shift Detection
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection"

10 / 10 papers shown
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part
  Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
MAProtoNet: A Multi-scale Attentive Interpretable Prototypical Part Network for 3D Magnetic Resonance Imaging Brain Tumor Classification
Binghua Li
Jie Mao
Zhe Sun
Chao Li
Qibin Zhao
Toshihisa Tanaka
312
2
0
13 Apr 2024
A Framework for Interpretability in Machine Learning for Medical Imaging
A Framework for Interpretability in Machine Learning for Medical ImagingIEEE Access (IEEE Access), 2023
Alan Q. Wang
Batuhan K. Karaman
Heejong Kim
Jacob Rosenthal
Rachit Saluja
Sean I. Young
M. Sabuncu
AI4CE
525
29
0
02 Oct 2023
Explainable AI applications in the Medical Domain: a systematic review
Explainable AI applications in the Medical Domain: a systematic review
Nicoletta Prentzas
A. Kakas
Constantinos S. Pattichis
342
22
0
10 Aug 2023
A Survey of Explainable AI and Proposal for a Discipline of Explanation
  Engineering
A Survey of Explainable AI and Proposal for a Discipline of Explanation Engineering
Clive Gomes
Lalitha Natraj
Shijun Liu
Anushka Datta
119
2
0
20 May 2023
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage
  Images for Efficient Midline Shift Quantification
Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift QuantificationInformation Processing in Medical Imaging (IPMI), 2023
Shizhan Gong
Cheng Chen
Yuqi Gong
Nga Yan Chan
Wenao Ma
C. Mak
J. Abrigo
Qi Dou
DiffMMedIm
197
10
0
01 Jan 2023
Transparency of Deep Neural Networks for Medical Image Analysis: A
  Review of Interpretability Methods
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods
Zohaib Salahuddin
Henry C. Woodruff
A. Chatterjee
Philippe Lambin
320
438
0
01 Nov 2021
FUTURE-AI: Guiding Principles and Consensus Recommendations for
  Trustworthy Artificial Intelligence in Medical Imaging
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
423
83
0
20 Sep 2021
Context-Aware Refinement Network Incorporating Structural Connectivity
  Prior for Brain Midline Delineation
Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline DelineationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
Shen Wang
Kongming Liang
Yiming Li
Yizhou Yu
Yizhou Wang
125
8
0
10 Jul 2020
Explainable deep learning models in medical image analysis
Explainable deep learning models in medical image analysisJournal of Imaging (JI), 2020
Amitojdeep Singh
S. Sengupta
Vasudevan Lakshminarayanan
XAI
425
617
0
28 May 2020
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical
  XAI
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAIIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
Erico Tjoa
Cuntai Guan
XAI
855
1,920
0
17 Jul 2019
1
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