PhD student Naresh Nandakumar won the “Best Paper Award” at the 3rd International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2020), held in conjunction with MICCAI 2020.

Nandakumar won for his paper entitled “A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity.” Coauthors include Niharika  S. D’Souza, Komal Manzoor, Jay Pillai, Sachin Gujar, Haris Sair, and Archana Venkataraman.

Naresh is currently a 4th-year electrical and computer engineering PhD student in the Neural Systems Analysis lab at the Johns Hopkins University. He received his Bachelor’s from Vanderbilt University, where he did research in the MASI lab. His research interests lie at the intersection of statistical modeling/deep learning and clinical neuroimaging. He has presented at ISBI 2018, MICCAI 2018, MICCAI 2019 and MICCAI 2020. He develops machine learning models to tackle clinically relevant problems. Currently, he is working on eloquent cortex detection of brain tumor patients using resting-state fMRI connectivity.

Read MLCN’s announcement on the award >>