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Journal Articles
- 2020
[j5]Manohar Karki, Junghwan Cho
, Eunmi Lee, Myong-Hun Hahm, Sang-Youl Yoon, Myungsoo Kim, Jae-Yun Ahn, Jeongwoo Son, Shin-Hyung Park, Ki-Hong Kim, Sinyoul Park:
CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings. Artif. Intell. Medicine 106: 101850 (2020)- 2019
- [j4]Junghwan Cho, Ki-Su Park, Manohar Karki, Eunmi Lee, Seokhwan Ko, Jong Kun Kim, Dongeun Lee, Jaeyoung Choe, Jeongwoo Son, Myungsoo Kim, Sukhee Lee, Jeongho Lee, Changhyo Yoon, Sinyoul Park:
Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models. J. Digit. Imaging 32(3): 450-461 (2019) - 2018
- [j3]Saikat Basu, Supratik Mukhopadhyay, Manohar Karki, Robert DiBiano, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka:
Deep neural networks for texture classification - A theoretical analysis. Neural Networks 97: 173-182 (2018) - 2017
- [j2]Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Shreekant Gayaka, Rajgopal Kannan, Ramakrishna R. Nemani:
Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. Neural Process. Lett. 45(3): 855-867 (2017) - 2015
- [j1]Saikat Basu, Sangram Ganguly, Ramakrishna R. Nemani, Supratik Mukhopadhyay, Gong Zhang, Cristina Milesi, Andrew R. Michaelis, Petr Votava, Ralph Dubayah, Laura Duncanson, Bruce D. Cook, Yifan Yu, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li:
A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. IEEE Trans. Geosci. Remote. Sens. 53(10): 5690-5708 (2015)
Conference and Workshop Papers
- 2021
- [c9]Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jäger:
Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. EMBC 2021: 2964-2967 - 2018
- [c8]Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters. ICFHR 2018: 511-516 - 2017
- [c7]Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Core Sampling Framework for Pixel Classification. ICANN (2) 2017: 617-625 - 2016
- [c6]Saikat Basu, Manohar Karki, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Robert DiBiano, Shreekant Gayaka:
A theoretical analysis of Deep Neural Networks for texture classification. IJCNN 2016: 992-999 - [c5]Manohar Karki, Saikat Basu, Robert DiBiano, Supratik Mukhopadhyay, Jerry Weltman, Malcolm Stagg:
A symbolic framework for recognizing activities in full motion surveillance videos. SSCI 2016: 1-7 - 2015
- [c4]Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly:
An Agile Framework for Real-Time Motion Tracking. COMPSAC Workshops 2015: 205-210 - [c3]Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani:
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. ESANN 2015 - [c2]Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat: a learning framework for satellite imagery. SIGSPATIAL/GIS 2015: 37:1-37:10 - [c1]Saikat Basu, Manohar Karki, Malcolm Stagg, Robert DiBiano, Sangram Ganguly, Supratik Mukhopadhyay:
MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. VISAPP (3) 2015: 567-574
Informal and Other Publications
- 2020
- [i7]Manohar Karki, Junghwan Cho:
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images. CoRR abs/2003.13868 (2020) - 2019
- [i6]Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. CoRR abs/1911.07747 (2019) - 2018
- [i5]Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters. CoRR abs/1806.08037 (2018) - 2016
- [i4]Saikat Basu, Manohar Karki, Robert DiBiano, Supratik Mukhopadhyay, Sangram Ganguly, Ramakrishna R. Nemani, Shreekant Gayaka:
A Theoretical Analysis of Deep Neural Networks for Texture Classification. CoRR abs/1605.02699 (2016) - [i3]Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay:
Core Sampling Framework for Pixel Classification. CoRR abs/1612.01981 (2016) - 2015
- [i2]Saikat Basu, Manohar Karki, Sangram Ganguly, Robert DiBiano, Supratik Mukhopadhyay, Ramakrishna R. Nemani:
Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. CoRR abs/1509.03413 (2015) - [i1]Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani:
DeepSat - A Learning framework for Satellite Imagery. CoRR abs/1509.03602 (2015)
Coauthor Index
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