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U. Priyakumar

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1
  • q-bio.BM1

identity via Semantic Scholar / OpenAlex

most citedAPObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design

2 citations · 2 across the 2 of their papers we have counts for

collaborators

3 papers

q-bio.BM2021★ 2 cited

APObind: A Dataset of Ligand Unbound Protein Conformations for Machine Learning Applications in De Novo Drug Design

Rishal Aggarwal, Akash Gupta, U Deva Priyakumar

Protein-ligand complex structures have been utilised to design benchmark machine learning methods that perform important tasks related to drug design such as receptor binding site…

eess.IV2021

Linear Prediction Residual for Efficient Diagnosis of Parkinson's Disease from Gait

Shanmukh Alle, U. Deva Priyakumar

Parkinson's Disease (PD) is a chronic and progressive neurological disorder that results in rigidity, tremors and postural instability. There is no definite medical test to diagnos…

cs.CV2021

MMBERT: Multimodal BERT Pretraining for Improved Medical VQA

Yash Khare, Viraj Bagal, Minesh Mathew +3

Images in the medical domain are fundamentally different from the general domain images. Consequently, it is infeasible to directly employ general domain Visual Question Answering…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.