PodParley PodParley

S7E4: Radiology and Deep Learning with Dr. Ishaan Bhat

Episode 4 of the Desi Academia Podcast podcast, hosted by Desi Academia Podcast, titled "S7E4: Radiology and Deep Learning with Dr. Ishaan Bhat" was published on December 28, 2024 and runs 109 minutes.

December 28, 2024 ·109m · Desi Academia Podcast

0:00 / 0:00

In this episode, we are joined by recent PhD graduate Dr. Ishaan Bhat (@Doctor_Woah) who shares his experience dissertating in European academia. Ishaan walks us through his specialisation in image recognition and ML/DL algorithms, his interdisciplinary collaboration with medical doctors, and his doctoral research on uncertainty estimation and improving reliability in predictions made by image recognition algorithms. We also chat about his dissertation defence experience. We cover the unique challenges and joys of applied research, the complications of working with protected data, and the importance of open science, reproducibility, and code+paper style publications. Recommendations Ishaan The Good Research Code Handbook: https://goodresearch.dev The Wager , by David Grann Megh Honey Singh's interview by Lallantop Movie: Sarfarosh The Vulgarity of Caste: Dalits, Sexuality, and Humanity in Modern India, by Shailaja Paik Vatsal A scientific fraud. An investigation. A lab in recovery: https://www.thetransmitter.org/science-and-society/a-scientific-fraud-an-investigation-a-lab-in-recovery/ Podcast: Gastropod

In this episode, we are joined by recent PhD graduate Dr. Ishaan Bhat (@Doctor_Woah) who shares his experience dissertating in European academia. Ishaan walks us through his specialisation in image recognition and ML/DL algorithms, his interdisciplinary collaboration with medical doctors, and his doctoral research on uncertainty estimation and improving reliability in predictions made by image recognition algorithms. We also chat about his dissertation defence experience.


We cover the unique challenges and joys of applied research, the complications of working with protected data, and the importance of open science, reproducibility, and code+paper style publications.

Recommendations

URL copied to clipboard!