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 | 410 | 2015 |
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 | 124 | 2019 |
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 | 97 | 2018 |
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 | 95 | 2017 |
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 | 53 | 2020 |
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 | 52 | 2015 |
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 | 39 | 2016 |
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 | 34 | 2020 |
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 | 22 | 2022 |
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 | 18 | 2022 |
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 | 13 | 2018 |
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 | 12 | 2021 |
Core sampling framework for pixel classification M Karki, R DiBiano, S Basu, S Mukhopadhyay Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017 | 10 | 2017 |
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 | 3 | 2020 |
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 | 3 | 2020 |
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 | 2 | 2016 |
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 | 2 | 2015 |
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 | 2 | 2015 |
Method and system for automatic multiple lesion annotation of medical images M Karki, JH Cho, KW Lee US Patent App. 17/432,248, 2022 | 1 | 2022 |
Automated classification of sleep stages using eeg/eog and r&k rules D Castleberry, A Ganguly, S Navaz, M Tohid, M Karki | 1 | 2012 |