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  4. Cited By
Automatic brain tumor grading from MRI data using convolutional neural
  networks and quality assessment

Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment

Lecture Notes in Computer Science (LNCS), 2018
25 September 2018
Sérgio Pereira
Raphael Meier
Victor Alves
M. Reyes
Carlos Alberto Silva
ArXiv (abs)PDFHTML

Papers citing "Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment"

19 / 19 papers shown
Teach Me How to Learn: A Perspective Review towards User-centered
  Neuro-symbolic Learning for Robotic Surgical Systems
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
Amr Gomaa
Bilal Mahdy
Niko Kleer
Michael Feld
Frank Kirchner
Antonio Krüger
247
6
0
07 Jul 2023
Evaluating the Stability of Semantic Concept Representations in CNNs for
  Robust Explainability
Evaluating the Stability of Semantic Concept Representations in CNNs for Robust Explainability
Georgii Mikriukov
Gesina Schwalbe
Christian Hellert
Korinna Bade
FAtt
243
11
0
28 Apr 2023
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face
  Detection
An Efficient Ensemble Explainable AI (XAI) Approach for Morphed Face DetectionPattern Recognition Letters (PR), 2023
Rudresh Dwivedi
Ritesh Kumar
Deepak Chopra
Pranay Kothari
Manjot Singh
CVBMAAML
174
12
0
23 Apr 2023
A latent space for unsupervised MR image quality control via artifact
  assessment
A latent space for unsupervised MR image quality control via artifact assessment
Lianrui Zuo
Yuan Xue
Blake E. Dewey
Yihao Liu
Jerry L. Prince
A. Carass
142
4
0
01 Feb 2023
Cross-Modality Image Registration using a Training-Time Privileged Third
  Modality
Cross-Modality Image Registration using a Training-Time Privileged Third ModalityIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Qianye Yang
David Atkinson
Yunguan Fu
Tom Syer
Wen Yan
S. Punwani
Matthew J. Clarkson
D. Barratt
Tom Vercauteren
Yipeng Hu
125
12
0
26 Jul 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture ClassificationIEEE journal of biomedical and health informatics (IEEE JBHI), 2022
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
Anton Van Den Hengel
Johan Verjans
196
20
0
21 Mar 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution ViewWIREs Mechanisms of Disease (WIREs Mech Dis), 2021
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
290
76
0
05 Dec 2021
Improving the Segmentation of Pediatric Low-Grade Gliomas through
  Multitask Learning
Improving the Segmentation of Pediatric Low-Grade Gliomas through Multitask Learning
Partoo Vafaeikia
M. Wagner
U. Tabori
B. Ertl-Wagner
Farzad Khalvati
126
11
0
29 Nov 2021
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
237
406
0
01 Nov 2021
Explainable artificial intelligence (XAI) in deep learning-based medical
  image analysis
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis
Bas H. M. van der Velden
Hugo J. Kuijf
K. Gilhuijs
M. Viergever
XAI
243
888
0
22 Jul 2021
One Map Does Not Fit All: Evaluating Saliency Map Explanation on
  Multi-Modal Medical Images
One Map Does Not Fit All: Evaluating Saliency Map Explanation on Multi-Modal Medical Images
Weina Jin
Xiaoxiao Li
Ghassan Hamarneh
FAtt
209
22
0
11 Jul 2021
Deep Learning for Medical Anomaly Detection -- A Survey
Deep Learning for Medical Anomaly Detection -- A SurveyACM Computing Surveys (ACM CSUR), 2020
Tharindu Fernando
Harshala Gammulle
Akila Pemasiri
Sridha Sridharan
Clinton Fookes
OOD
434
364
0
04 Dec 2020
A Transfer Learning Based Active Learning Framework for Brain Tumor
  Classification
A Transfer Learning Based Active Learning Framework for Brain Tumor ClassificationFrontiers in Artificial Intelligence (FAI), 2020
Ruqian Hao
Khashayar Namdar
Lin Liu
Farzad Khalvati
MedIm
174
57
0
16 Nov 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
296
585
0
28 May 2020
Deep Learning in Medical Image Registration: A Review
Deep Learning in Medical Image Registration: A ReviewPhysics in Medicine and Biology (PMB), 2019
Yabo Fu
Y. Lei
Tonghe Wang
W. Curran
Tian Liu
Xiaofeng Yang
215
578
0
27 Dec 2019
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Artificial Intelligence in Glioma Imaging: Challenges and AdvancesJournal of Neural Engineering (J. Neural Eng.), 2019
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
407
44
0
28 Nov 2019
A Survey on Active Learning and Human-in-the-Loop Deep Learning for
  Medical Image Analysis
A Survey on Active Learning and Human-in-the-Loop Deep Learning for Medical Image Analysis
Samuel Budd
E. C. Robinson
Bernhard Kainz
LM&MA
237
562
0
07 Oct 2019
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
661
1,793
0
17 Jul 2019
AMD Severity Prediction And Explainability Using Image Registration And
  Deep Embedded Clustering
AMD Severity Prediction And Explainability Using Image Registration And Deep Embedded Clustering
Dwarikanath Mahapatra
114
16
0
06 Jul 2019
1
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