Publications by authors named "Nagesh Subbanna"

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An Analysis of the Vulnerability of Two Common Deep Learning-Based Medical Image Segmentation Techniques to Model Inversion Attacks.
Nagesh Subbanna, Matthias Wilms, Anup Tuladhar, Nils D Forkert

Sensors (Basel)· June 2021

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Supervised machine learning tools: a tutorial for clinicians.
Lucas Lo Vercio, Kimberly Amador, Jordan J Bannister, Sebastian Crites, Alejandro Gutierrez, Nagesh Subbanna

J Neural Eng· November 2020

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Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields.
Nagesh K Subbanna, Deepthi Rajashekar, Bastian Cheng, Götz Thomalla, Jens Fiehler

Front Neurol· May 2019

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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Nagesh K Subbanna

IEEE Trans Med Imaging· October 2015

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IMaGe: Iterative Multilevel Probabilistic Graphical Model for Detection and Segmentation of Multiple Sclerosis Lesions in Brain MRI.
Nagesh Subbanna, Doina Precup, Douglas Arnold, Tal Arbel

Inf Process Med Imaging· September 2015

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Probabilistic multiple sclerosis lesion classification based on modeling regional intensity variability and local neighborhood information.
Rola Harmouche, Nagesh K Subbanna, D Louis Collins, Douglas L Arnold, Tal Arbel

IEEE Trans Biomed Eng· May 2015

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Hierarchical probabilistic Gabor and MRF segmentation of brain tumours in MRI volumes.
Nagesh K Subbanna, Doina Precup, D Louis Collins, Tal Arbel

Med Image Comput Comput Assist Interv· February 2014

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Evaluating intensity normalization on MRIs of human brain with multiple sclerosis.
Mohak Shah, Yiming Xiao, Nagesh Subbanna, Simon Francis, Douglas L Arnold

Med Image Anal· April 2011

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