Manish Bhattarai - Concepedia

Author

Manish Bhattarai

Also Known As

Barron, Ryan, Bhattarai, Manish, Bhattarai, Manish [Los Alamos National Laboratory]; Kaymak, Mehmet Cagri [Los Alamos National Laboratory]; Barron, Ryan Calvin [Los Alamos National Laboratory]; Nebgen, Benjamin Tyler [Los Alamos National Laboratory]; Rasmussen, Kim Orskov [Los Alamos National Laboratory]; Alexandrov, Boian [Los Alamos National Laboratory], Manish Bhattarai

106

Publications

467

Citations

H-Index

Concepts

All Affiliations

Los Alamos National Laboratory University of New Mexico Mind Research Network Shanxi University George Mason University

About

Manish Bhattarai is an author at Los Alamos National Laboratory specializing in engineering, neuroscience, and medicine.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	239
2	Medicine	3	3	241
3	Language Studies	2	2	52
4	Data Science	2	2	52
5	Social Sciences	1	1	54

Manish Bhattarai

Publications

355

Citations

H-Index

Page 1

	Year	Citations
Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease Anees Abrol, Manish Bhattarai, Alex Fedorov, Journal of Neuroscience Methods Neuroimaging BiomarkersNeurodegenerative DiseasesAlzheimer's DiseaseEngineeringDeep Learning	2020	171
An fMRI study of working memory in first-degree unaffected relatives of schizophrenia patients Shashwath A. Meda, Manish Bhattarai, Nicholas A. Morris, Schizophrenia Research Neuropsychological FunctioningBrain FunctionPsychiatryFirst-degree Unaffected RelativesPsychotic Disorder	2008	54
Finding the Number of Latent Topics With Semantic Non-Negative Matrix Factorization Raviteja Vangara, Manish Bhattarai, Erik Skau, IEEE Access EngineeringTopic ModelingCorpus LinguisticsText MiningWord Embeddings	2021	34
Semantic Nonnegative Matrix Factorization with Automatic Model Determination for Topic Modeling Raviteja Vangara, Erik Skau, Gopinath Chennupati, Stable Coherent TopicsNon-negative Matrix FactorizationEngineeringTopic ModelingCorpus Linguistics	2020	18
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization Ryan Barron, Vesselin Grantcharov, Selma Wanna,	2024	18
Deep Residual Learning for Neuroimaging: An application to Predict Progression to Alzheimer’s Disease Anees Abrol, Manish Bhattarai, Alex Fedorov, Convolutional Neural NetworkEngineeringMachine LearningNeural Networks (Machine Learning)Autoencoders	2018	16
DNA breathing integration with deep learning foundational model advances genome-wide binding prediction of human transcription factors Anowarul Kabir, Manish Bhattarai, S N Peterson, Nucleic Acids Research	2024	13
General-purpose Unsupervised Cyber Anomaly Detection via Non-negative Tensor Factorization Maksim E. Eren, Juston Moore, Erik Skau, Digital Threats Research and Practice	2022	11
Semi-Supervised Classification of Malware Families Under Extreme Class Imbalance via Hierarchical Non-Negative Matrix Factorization with Automatic Model Selection Maksim E. Eren, Manish Bhattarai, Robert J. Joyce, ACM Transactions on Privacy and Security	2023	10
Examining DNA breathing with pyDNA-EPBD Anowarul Kabir, Manish Bhattarai, K. Ø. Rasmussen, Bioinformatics	2023	10

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