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2020 – today
- 2022
[c5]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: 506-516- [i2]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 abs/2203.02202 (2022)
2010 – 2019
- 2018
- [j2]Carolina Makowski, Sophie Béland, Penelope Kostopoulos, Nikhil Bhagwat, Gabriel A. Devenyi, Ashok K. Malla, Ridha Joober, Martin D. Lepage, M. Mallar Chakravarty:
Evaluating accuracy of striatal, pallidal, and thalamic segmentation methods: Comparing automated approaches to manual delineation. NeuroImage 170: 182-198 (2018) - [j1]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) - [i1]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 abs/1812.01716 (2018) - 2015
- [c4]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: 617-620 - 2013
- [c3]Nikhil Bhagwat, Justin Yackoski, Jason H. Li, Kurt A. Turck:
Design of Mesh Enhancements to Airborne Links. MILCOM 2013: 876-881 - 2010
- [c2]Nikhil Bhagwat, Bijan Jabbari:
Analysis of Localization Accuracy in Wireless Networks in Presence of Uncertain Beacon Positions. GLOBECOM 2010: 1-5 - [c1]Nikhil Bhagwat, Kunpeng Liu, Bijan Jabbari:
Robust Bias Mitigation Algorithm for Localization in Wireless Networks. ICC 2010: 1-5
Coauthor Index
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