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Nagesh K. Subbanna
Nagesh K. Subbanna
University of Calgary
Artificial intelligence
Pattern recognition
Deep learning
Computer science
Segmentation
4
Papers
29
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An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks
2021
Sensors
Nagesh K. Subbanna
Matthias Wilms
Anup Tuladhar
Nils D. Forkert
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Understanding privacy risks in typical deep learning models for medical image analysis
2021
Nagesh K. Subbanna
Anup Tuladhar
Matthias Wilms
Nils Daniel Forkert
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Supervised machine learning tools: a tutorial for clinicians.
2020
Journal of Neural Engineering
Lucas Lo Vercio
Kimberly Amador
Jordan J. Bannister
Sebastian Crites
Alejandro Gutierrez
Matthew Ethan MacDonald
Jasmine Moore
Pauline Mouches
Deepthi Rajasheka
Serena Schimert
Nagesh K. Subbanna
Anup Tuladhar
Nanjia Wang
Matthias Wilms
Anthony J. Winder
Nils D. Forkert
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Citations (9)
Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields
2019
Frontiers in Neurology
Nagesh K. Subbanna
Deepthi Rajashekar
Bastian Cheng
Götz Thomalla
Jens Fiehler
Tal Arbel
Nils Daniel Forkert
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Citations (18)
1