Manohar Karki - Concepedia

Author

Manohar Karki

Louisiana State University ORCID

Also Known As

, K. Murali Manohar, Karki, Manohar, Manohar Karki

Publications

852

Citations

H-Index

Concepts

All Affiliations

Louisiana State University Bay Area Environmental Research Institute Ames Research Center National Center for Biotechnology Information Yeungnam University

About

Manohar Karki is an author at Louisiana State University specializing in engineering, deep learning, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	744
2	Data Science	5	5	519
3	Computer Science	4	4	493
4	Medicine	3	3	195
5	Health Sciences	1	1	40

Manohar Karki

Publications

813

Citations

H-Index

Page 1

	Year	Citations
DeepSat Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Image ClassificationConvolutional Neural NetworkMachine VisionImage AnalysisData Science	2015	297
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models Junghwan Cho, Ki‐Su Park, Manohar Karki, Journal of Digital Imaging Convolutional Neural NetworkEngineeringMachine LearningMedical Image ComputingNeuroimaging	2019	129
Deep neural networks for texture classification—A theoretical analysis Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Neural Networks Image ClassificationDeep Neural NetworksMachine VisionImage AnalysisEngineering	2017	96
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets Saikat Basu, Manohar Karki, Sangram Ganguly, Neural Processing Letters Sparse RepresentationMachine VisionMachine LearningData ScienceImage Analysis	2016	78
DeepSat - A Learning framework for Satellite Imagery Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningAutoencodersImage Classification	2015	69
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture Saikat Basu, Sangram Ganguly, Ramakrishna Nemani, IEEE Transactions on Geoscience and Remote Sensing Precision AgricultureEngineeringMachine LearningForest BiometricsHigh Resolution	2015	49
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings Manohar Karki, Junghwan Cho, Eunmi Lee, Artificial Intelligence in Medicine Multiple SettingsMedical ImagingIntracranial Hemorrhage DetectionIntracranial PressureComputer-aided Diagnosis	2020	40
Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features Feng Yang, Hang Yu, Karthik Kantipudi, Quantitative Imaging in Medicine and Surgery	2021	29
Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays Manohar Karki, Karthik Kantipudi, Feng Yang, Diagnostics Generalization ChallengesConvolutional Neural NetworkEngineeringMachine LearningTuberculosis Prevention	2022	26

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