Vwani Roychowdhury
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Explore the profile of Vwani Roychowdhury including associated specialties, affiliations and a list of published articles.
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Recent Articles
1.
Daida A, Panchavati S, Oana S, Kanai S, Zhang Y, Ding Y, et al.
Epilepsia
. 2025 Mar;
PMID: 40053323
Objective: Although the role of subcortical structures in the generation of epileptic spasms has been proposed, supporting evidence remains limited. This study aimed to provide neurophysiological evidence of thalamocortical network...
2.
Monsoor T, Kanai S, Daida A, Kuroda N, Sinha P, Oana S, et al.
medRxiv
. 2025 Feb;
PMID: 39974054
Epilepsy affects 1% of the population, with up to one-third of patients being medication-resistant. Surgery is the only curative treatment, yet over one-third of surgical patients fail to achieve seizure...
3.
Daida A, Ding Y, Zhang Y, Oana S, Panchavati S, Edmonds B, et al.
Clin Neurophysiol
. 2025 Feb;
PMID: 39915224
Objective: To investigate high-frequency activities (HFA) associated with thalamic sleep spindles. Methods: We studied a cohort of ten pediatric patients with medication resistant epilepsy who were identified as potential candidates...
4.
Holur P, Enevoldsen K, Rajesh S, Mboning L, Georgiou T, Bouchard L, et al.
Bioinformatics
. 2025 Feb;
PMID: 39913380
Motivation: DNA sequence alignment, an important genomic task, involves assigning short DNA reads to the most probable locations on an extensive reference genome. Conventional methods tackle this challenge in two...
5.
Zhang Y, Daida A, Liu L, Kuroda N, Ding Y, Oana S, et al.
medRxiv
. 2024 Jul;
PMID: 39040207
Objective: Interictal high-frequency oscillations (HFOs) are a promising neurophysiological biomarker of the epileptogenic zone (EZ). However, objective criteria for distinguishing pathological from physiological HFOs remain elusive, hindering clinical application. We...
6.
Vahabpour A, Wang T, Lu Q, Pooladzandi O, Roychowdhury V
IEEE Trans Neural Netw Learn Syst
. 2024 Jun;
PP.
PMID: 38848228
Imitation learning (IL) is a well-known problem in the field of Markov decision process (MDP), where one is given multiple demonstration trajectories generated by expert(s), and the goal is to...
7.
PyHFO: lightweight deep learning-powered end-to-end high-frequency oscillations analysis application
Zhang Y, Liu L, Ding Y, Chen X, Monsoor T, Daida A, et al.
J Neural Eng
. 2024 May;
21(3).
PMID: 38722308
. This study aims to develop and validate an end-to-end software platform, PyHFO, that streamlines the application of deep learning (DL) methodologies in detecting neurophysiological biomarkers for epileptogenic zones from...
8.
Miyahara H, Qian H, Holur P, Roychowdhury V
PLoS One
. 2024 Feb;
19(2):e0298789.
PMID: 38394225
A key metric to determine the performance of a stock in a market is its return over different investment horizons (τ). Several works have observed heavy-tailed behavior in the distributions...
9.
Iyer S, Roychowdhury V
Science
. 2023 Oct;
382(6668):263-264.
PMID: 37856601
A chip design integrates computation and memory to efficiently process data at low energy cost.
10.
Li Q, Wang T, Roychowdhury V, Jawed M
Phys Rev Lett
. 2023 Aug;
131(6):067301.
PMID: 37625061
We present the interpretable meta neural ordinary differential equation (iMODE) method to rapidly learn generalizable (i.e., not parameter-specific) dynamics from trajectories of multiple dynamical systems that vary in their physical...