Amith J. Kamath
Yet another PhD student.
ARTORG Center for Biomedical Engineering Research
University of Bern
My name is Amith (meaning ‘infinite’ in Sanskrit) and I enjoy investigating problems in image analysis and building tools to solve them. I like mathematics as applied to gain a better understanding of what we see (naturally, or otherwise).
I am currently a doctoral student with Prof. Mauricio Reyes in the Medical Image Analysis lab, at the ARTORG Center, learning more about pixel-level segmentation using Deep Learning models and its’ robustness in clinical settings as applied to radiotherapy planning. Earlier, I learnt vision and robotics at Georgia Tech remotely, and wrote a masters’ dissertation at Minnesota, focusing on reducing MRI acquisition times while maintaining accurate orientation measurement of white matter fibers in our brains.
Along the way, I wrote code for image/vision at the MathWorks, built technical content for undergraduate courses, ran interactive workshops/seminars across India, all in the broad areas of computer science, biomedical engineering, and mathematics.
Here is a more detailed CV. I am grateful to call Bern, Bengaluru, Boston, Minneapolis, and Mangalore as home at various points in time.
news
Dec 10, 2024 | We are organizing BART - the first Bern AI in RadioTherapy symposium on the 14th of March 2025. We have three keynote speakers confirmed, sponsors in the works, and poster + travel awards being prepared! Stay tuned at https://ubern-mia.github.io/bart25 for more! |
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Nov 07, 2024 | Our research is one of 100 “lab” pitches from researchers all over the world (60+ countries) at the 35th anniversary of the fall of the Berlin Wall - at the Falling Walls Science Summit 2024. See more here: https://youtu.be/066tAjZeOpI |
Oct 07, 2024 | Our paper “AutoDoseRank: Automated Dosimetry-Informed Segmentation Ranking for Radiotherapy” is accepted at the CaPTion@MICCAI Workshop. This is special as it is Zahiras (master advisee) first first-author paper. She also goes on to win the CAIM Research Award in the Translation category for her contributions to ContourAid. Way to go, Zahira! |
Jul 01, 2024 | Our paper “Comparing the Performance of Radiation Oncologists versus a Deep Learning Dose Predictor” is accepted as an oral presentation at MIDL 2024 (18% acceptance for Oral, 36/217). More to come soon. |
Jun 27, 2024 | Our 3 minute pitch about AI in radiotherapy research happened to win the Falling Walls Fribourg 2024 event. Next stop: Berlin in November. |