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Manohar Karki
Manohar Karki
Research Scientist, Riverain Technologies
Verified email at riveraintech.com
Title
Cited by
Cited by
Year
Deepsat: a learning framework for satellite imagery
S Basu, S Ganguly, S Mukhopadhyay, R DiBiano, M Karki, R Nemani
Proceedings of the 23rd SIGSPATIAL international conference on advances in …, 2015
4012015
Improving sensitivity on identification and delineation of intracranial hemorrhage lesion using cascaded deep learning models
J Cho, KS Park, M Karki, E Lee, S Ko, JK Kim, D Lee, J Choe, J Son, ...
Journal of digital imaging 32, 450-461, 2019
1152019
Deep neural networks for texture classification—A theoretical analysis
S Basu, S Mukhopadhyay, M Karki, R DiBiano, S Ganguly, R Nemani, ...
Neural Networks 97, 173-182, 2018
972018
Learning sparse feature representations using probabilistic quadtrees and deep belief nets
S Basu, M Karki, S Ganguly, R DiBiano, S Mukhopadhyay, S Gayaka, ...
Neural Processing Letters 45, 855-867, 2017
932017
A semiautomated probabilistic framework for tree-cover delineation from 1-m NAIP imagery using a high-performance computing architecture
S Basu, S Ganguly, RR Nemani, S Mukhopadhyay, G Zhang, C Milesi, ...
IEEE Transactions on Geoscience and Remote Sensing 53 (10), 5690-5708, 2015
522015
Deepsat v2: feature augmented convolutional neural nets for satellite image classification
Q Liu, S Basu, S Ganguly, S Mukhopadhyay, R DiBiano, M Karki, ...
Remote Sensing Letters 11 (2), 156-165, 2020
492020
A theoretical analysis of deep neural networks for texture classification
S Basu, M Karki, S Mukhopadhyay, S Ganguly, R Nemani, R DiBiano, ...
2016 international joint conference on neural networks (IJCNN), 992-999, 2016
392016
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings
M Karki, J Cho, E Lee, MH Hahm, SY Yoon, M Kim, JY Ahn, J Son, ...
Artificial Intelligence in Medicine 106, 101850, 2020
322020
Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features
F Yang, H Yu, K Kantipudi, M Karki, YM Kassim, A Rosenthal, DE Hurt, ...
Quantitative Imaging in Medicine and Surgery 12 (1), 675, 2022
202022
Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays
M Karki, K Kantipudi, F Yang, H Yu, YXJ Wang, Z Yaniv, S Jaeger
Diagnostics 12 (1), 188, 2022
132022
Pixel-level reconstruction and classification for noisy handwritten bangla characters
M Karki, Q Liu, R DiBiano, S Basu, S Mukhopadhyay
2018 16th International Conference on Frontiers in Handwriting Recognition …, 2018
122018
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.
M Karki, K Kantipudi, H Yu, F Yang, YM Kassim, Z Yaniv, S Jaeger
43rd Annual International Conference of the IEEE Engineering in Medicine and …, 2021
102021
Core sampling framework for pixel classification
M Karki, R DiBiano, S Basu, S Mukhopadhyay
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
102017
Computer implemented system and method for high performance visual tracking
S Mukhopadhyay, S Basu, M Stagg, R DiBiano, M Karki, J Weltman
US Patent 10,757,369, 2020
32020
Lesion conditional image generation for improved segmentation of intracranial hemorrhage from CT images
M Karki, J Cho, S Ko
arXiv preprint arXiv:2003.13868, 2020
32020
A symbolic framework for recognizing activities in full motion surveillance videos
M Karki, S Basu, R DiBiano, S Mukhopadhyay, J Weltman, M Stagg
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-7, 2016
22016
An agile framework for real-time motion tracking
S Basu, R Dibiano, M Karki, M Stagg, J Weltman, S Mukhopadhyay, ...
2015 IEEE 39th Annual Computer Software and Applications Conference 3, 205-210, 2015
22015
Maptrack-a probabilistic real time tracking framework by integrating motion, appearance and position models
S Basu, M Karki, M Stagg, R DiBiano, S Ganguly, S Mukhopadhyay
International Conference on Computer Vision Theory and Applications 2, 567-574, 2015
22015
Method and system for automatic multiple lesion annotation of medical images
M Karki, JH Cho, KW Lee
US Patent App. 17/432,248, 2022
12022
Automated classification of sleep stages using eeg/eog and r&k rules
D Castleberry, A Ganguly, S Navaz, M Tohid, M Karki
12012
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