Deeksha M. Shama

According to our database, Deeksha M. Shama authored at least 4 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

BUNDL: Bayesian Uncertainty-aware Deep Learning with Noisy training Labels for Seizure Detection in EEG.

Deeksha M. Shama, Archana Venkataraman

CoRR, 2024

Uncertainty-Aware Bayesian Deep Learning with Noisy Training Labels for Epileptic Seizure Detection.

Deeksha M. Shama, Archana Venkataraman

Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

2023

DeepBreath - automated detection of respiratory pathology from lung auscultation in 572 pediatric outpatients across 5 countries.

Julien Heitmann, Alban Glangetas, Jonathan Doenz, Juliane Dervaux, Deeksha M. Shama, Daniel Hinjos Garcia, Mohamed Rida Benissa, Aymeric Cantais, Alexandre Perez, Daniel Müller, Tatjana Chavdarova, Isabelle Ruchonnet-Metrailler, Johan N. Siebert, Laurence Lacroix, Martin Jaggi, Alain Gervaix, Mary-Anne Hartley, Florence Hugon, Derrick Fassbind, Makura Barro, Georges Bediang, N. E. L. Hafidi, M. Bouskraoui, Idrissa Ba

npj Digit. Medicine, 2023

DeepSOZ: A Robust Deep Model for Joint Temporal and Spatial Seizure Onset Localization from Multichannel EEG Data.

Deeksha M. Shama, Jiasen Jing, Archana Venkataraman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023