Nikhil Bhagwat

Publication Activity (10 Years)

Years Active: 2010-2022
Publications (10 Years): 5

Top Topics

Learning Models

Automatic Or Semi Automatic

Segmentation Accuracy

Atlas Based Segmentation

Top Venues

Publications

Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. MICCAI (5) (2022)
Raghavendra Selvan, Nikhil Bhagwat, Lasse F. Wolff Anthony, Benjamin Kanding, Erik B. Dam
Carbon Footprint of Selecting and Training Deep Learning Models for Medical Image Analysis. CoRR (2022)
Ahmed Ashraf, Shehroz S. Khan, Nikhil Bhagwat, M. Mallar Chakravarty, Babak Taati
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies. CoRR (2018)
Nikhil Bhagwat, Joseph D. Viviano, Aristotle N. Voineskos, M. Mallar Chakravarty, Alzheimer's Disease Neuroimaging Initiative
Modeling and prediction of clinical symptom trajectories in Alzheimer's disease using longitudinal data. PLoS Comput. Biol. 14 (9) (2018)
Carolina Makowski, Sophie Béland, Penelope Kostopoulos, Nikhil Bhagwat, Gabriel A. Devenyi, Ashok K. Malla, Ridha Joober, Martin Lepage, M. Mallar Chakravarty
Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation. NeuroImage 170 (2018)
Nikhil Bhagwat, Jon Pipitone, Aristotle N. Voineskos, Jens C. Pruessner, M. Mallar Chakravarty
Improving multi-atlas segmentation accuracy by leveraging local neighborhood information during label-fusion. ISBI (2015)
Nikhil Bhagwat, Justin Yackoski, Jason H. Li, Kurt A. Turck
Design of Mesh Enhancements to Airborne Links. MILCOM (2013)
Nikhil Bhagwat, Bijan Jabbari
Analysis of Localization Accuracy in Wireless Networks in Presence of Uncertain Beacon Positions. GLOBECOM (2010)
Nikhil Bhagwat, Kunpeng Liu, Bijan Jabbari
Robust Bias Mitigation Algorithm for Localization in Wireless Networks. ICC (2010)