Manohar Karki

According to our database, Manohar Karki authored at least 16 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Identifying Drug-Resistant Tuberculosis in Chest Radiographs: Evaluation of CNN Architectures and Training Strategies.

Manohar Karki, Karthik Kantipudi, Hang Yu, Feng Yang, Yasmin M. Kassim, Ziv Yaniv, Stefan Jäger

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020

Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images.

Manohar Karki, Junghwan Cho

CoRR, 2020

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

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, Jaeyoung Choe, Jeongwoo Son, Myungsoo Kim, Sukhee Lee, Jeongho Lee, Changhyo Yoon, Sinyoul Park

J. Digit. Imaging, 2019

DeepSat V2: Feature Augmented Convolutional Neural Nets for Satellite Image Classification.

Qun Liu, Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani

CoRR, 2019

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

Pixel-Level Reconstruction and Classification for Noisy Handwritten Bangla Characters.

Manohar Karki, Qun Liu, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay

Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018

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

Core Sampling Framework for Pixel Classification.

Manohar Karki, Robert DiBiano, Saikat Basu, Supratik Mukhopadhyay

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

A symbolic framework for recognizing activities in full motion surveillance videos.

Manohar Karki, Saikat Basu, Robert DiBiano, Supratik Mukhopadhyay, Jerry Weltman, Malcolm Stagg

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

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

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

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, Sassan Saatchi, Robert DiBiano, Manohar Karki, Edward Boyda, Uttam Kumar, Shuang Li

IEEE Trans. Geosci. Remote. Sens., 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

Proceedings of the VISAPP 2015, 2015

DeepSat: a learning framework for satellite imagery.

Saikat Basu, Sangram Ganguly, Supratik Mukhopadhyay, Robert DiBiano, Manohar Karki, Ramakrishna R. Nemani

Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, 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

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

An Agile Framework for Real-Time Motion Tracking.

Saikat Basu, Robert DiBiano, Manohar Karki, Malcolm Stagg, Jerry Weltman, Supratik Mukhopadhyay, Sangram Ganguly

Proceedings of the 39th Annual Computer Software and Applications Conference, 2015