An Agile Framework for Real-Time Motion Tracking. - Saikat Basu; Robert DiBiano; Manohar Karki; Malcolm Stagg; Jerry Weltman; Supratik Mukhopadhyay; Sangram Ganguly (COMPSAC Workshops, 2015)

Learning Sparse Feature Representations using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Ramakrishna R. Nemani (ESANN, 2015)

DeepSat: a learning framework for satellite imagery. - Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (SIGSPATIAL/GIS, 2015)

MAPTrack - A Probabilistic Real Time Tracking Framework by Integrating Motion, Appearance and Position Models. - Saikat Basu; Manohar Karki; Malcolm Stagg; Robert DiBiano; Sangram Ganguly; Supratik Mukhopadhyay (VISAPP (3), 2015)

A Semiautomated Probabilistic Framework for Tree-Cover Delineation From 1-m NAIP Imagery Using a High-Performance Computing Architecture. - 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 007; et al. (IEEE Trans. Geosci. Remote. Sens., 2015)

A theoretical analysis of Deep Neural Networks for texture classification. - Saikat Basu; Manohar Karki; Supratik Mukhopadhyay; Sangram Ganguly; Ramakrishna R. Nemani; Robert DiBiano; Shreekant Gayaka (IJCNN, 2016)

A symbolic framework for recognizing activities in full motion surveillance videos. - Manohar Karki; Saikat Basu; Robert DiBiano; Supratik Mukhopadhyay; Jerry Weltman; Malcolm Stagg (SSCI, 2016)

Core Sampling Framework for Pixel Classification. - Manohar Karki; Robert DiBiano; Saikat Basu; Supratik Mukhopadhyay (ICANN (2), 2017)

Learning Sparse Feature Representations Using Probabilistic Quadtrees and Deep Belief Nets. - Saikat Basu; Manohar Karki; Sangram Ganguly; Robert DiBiano; Supratik Mukhopadhyay; Shreekant Gayaka; Rajgopal Kannan; Ramakrishna R. Nemani (Neural Process. Lett., 2017)

Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters. - Manohar Karki; Qun Liu 004; Robert DiBiano; Saikat Basu; Supratik Mukhopadhyay (ICFHR, 2018)

Deep neural networks for texture classification - A theoretical analysis. - Saikat Basu; Supratik Mukhopadhyay; Manohar Karki; Robert DiBiano; Sangram Ganguly; Ramakrishna R. Nemani; Shreekant Gayaka (Neural Networks, 2018)

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification. - Qun Liu 004; Saikat Basu; Sangram Ganguly; Supratik Mukhopadhyay; Robert DiBiano; Manohar Karki; Ramakrishna R. Nemani (CoRR, 2019)

Improving Sensitivity on Identification and Delineation of Intracranial Hemorrhage Lesion Using Cascaded Deep Learning Models. - Junghwan Cho; Ki-Su Park; Manohar Karki; Eunmi Lee; Seokhwan Ko; Jong Kun Kim; Dongeun Lee 004; Jaeyoung Choe; Jeongwoo Son; Myungsoo Kim; Sukhee Lee; Jeongho Lee; et al. (J. Digit. Imaging, 2019)

CT window trainable neural network for improving intracranial hemorrhage detection by combining multiple settings. - 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 (Artif. Intell. Medicine, 2020)

Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images. - Manohar Karki; Junghwan Cho (CoRR, 2020)

Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies. - Manohar Karki; Karthik Kantipudi; Hang Yu; Feng Yang 010; Yasmin M. Kassim; Ziv Yaniv; Stefan Jäger 001 (EMBC, 2021)