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Babu, VK and Roshan, N and Pandit, R (2023) Deep-Learning-Assisted Prediction of Neurological Recovery from Coma After Cardiac Arrest. In: UNSPECIFIED.
Babu, VK and Alageshan, JK and Pandit, R (2023) Prediction of Spiral-Tip Trajectories via Pseudo-ECGs and LSTM Networks. In: 50th Computing in Cardiology, CinC 2023, 1 October - 4 October 2023, Atlanta.
Roshan, N and Pandit, R (2021) A Study of Properties of the 2 2+-Dependent Delayed Afterdepolarizations in a Mathematical Model for Human Ventricular Myocytes. In: 2021 Computing in Cardiology, CinC 2021, 13-15 Sep 2021, Brno.
Mulimani, MK and Kumar Alageshan, J and Pandit, R (2019) Detection and Termination of Broken-Spiral-Waves in Mathematical Models for Cardiac Tissue: A Deep-Learning Approach. In: 2019 Computing in Cardiology, CinC 2019, 8-11 September 2019, Singapore.
Bhattacharjee, T and Das, D and Alam, S and Achuth Rao, MV and Kumar Ghosh, P and Lohani, AR and Banerjee, R and Choudhury, AD and Pal, A (2018) SleepTight: Identifying Sleep Arousals Using Inter and Intra-Relation of Multimodal Signals. In: 45th Computing in Cardiology Conference, CinC 2018, 23 - 26 September 2018, Maastricht.
Zimik, S and Pandit, R (2017) Spiral-wave instability in a medium with a gradient in the fibroblast density: A computational study. In: Computing in Cardiology Conference, 24 September 2017, Rennes, pp. 1-4.
