S. Chakra Chennubhotla

According to our database, S. Chakra Chennubhotla authored at least 33 papers between 1994 and 2023.

Collaborative distances:

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

2023

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol.

Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2023

2022

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action.

Anda Trifan, Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma, Austin Clyde, David Clark, David J. Hardy, Tom Burnley, Lei Huang, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips, S. Chakra Chennubhotla, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A. Harris, Arvind Ramanathan

Int. J. High Perform. Comput. Appl., 2022

2021

Classification of Diffuse Subcellular Morphologies.

Neelima Pulagam, Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn

Proceedings of the 20th Python in Science Conference 2021 (SciPy 2021), Virtual Conference, July 12, 2021

Prototypical Models for Classifying High-Risk Atypical Breast Lesions.

Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Rebekah Jenkins, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun, Jeffrey L. Fine, S. Chakra Chennubhotla

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

HistoMapr^™: An Explainable AI (xAI) Platform for Computational Pathology Solutions.

Akif Burak Tosun, Filippo Pullara, Michael J. Becich, D. Lansing Taylor, S. Chakra Chennubhotla, Jeffrey L. Fine

AI and ML for Digital Pathology, 2020

OrNet - a Python Toolkit to Model the Diffuse Structure of Organelles as Social Networks.

Mojtaba Sedigh Fazli, Marcus Hill, Andrew Durden, Rachel Mattson, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, Chakra Chennubhotla, Shannon Quinn

J. Open Source Softw., 2020

Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins.

Arvind Ramanathan, Heng Ma, Akash Parvatikar, S. Chakra Chennubhotla

CoRR, 2020

Spectral Analysis of Mitochondrial Dynamics: A Graph-Theoretic Approach to Understanding Subcellular Pathology.

Marcus Hill, Mojtaba Sedigh Fazli, Rachel Mattson, Meekail Zain, Andrew Durden, Allyson T. Loy, Barbara Reaves, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions.

Akash Parvatikar, Om Choudhary, Arvind Ramanathan, Olga Navolotskaia, Gloria Carter, Akif Burak Tosun, Jeffrey L. Fine, S. Chakra Chennubhotla

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Classifying Nuclei Shape Heterogeneity in Breast Tumors with Skeletons.

Brian Falkenstein, Adriana Kovashka, Seong Jae Hwang, S. Chakra Chennubhotla

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018

Stacked Neural Networks for end-to-end ciliary motion analysis.

Charles Lu, Maurice Marx, Maliha Zahid, Cecilia W. Lo, Chakra Chennubhotla, Shannon P. Quinn

CoRR, 2018

Dynamic Social Network Modeling of Diffuse Subcellular Morphologies.

Andrew Durden, Allyson T. Loy, Barbara Reaves, Mojtaba Sedigh Fazli, Abigail Courtney, Frederick D. Quinn, S. Chakra Chennubhotla, Shannon P. Quinn

Proceedings of the 17th Python in Science Conference 2018 (SciPy 2018), Austin, Texas, July 9, 2018

2017

Spatial Statistics for Segmenting Histological Structures in H&E Stained Tissue Images.

Luong Nguyen, Akif Burak Tosun, Jeffrey L. Fine, Adrian V. Lee, D. Lansing Taylor, S. Chakra Chennubhotla

IEEE Trans. Medical Imaging, 2017

Histological Detection of High-Risk Benign Breast Lesions from Whole Slide Images.

Akif Burak Tosun, Luong Nguyen, Nathan Ong, Olga Navolotskaia, Gloria Carter, Jeffrey L. Fine, D. Lansing Taylor, S. Chakra Chennubhotla

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Architectural patterns for differential diagnosis of proliferative breast lesions from histopathological images.

Luong Nguyen, Akif Burak Tosun, Jeffrey L. Fine, D. Lansing Taylor, S. Chakra Chennubhotla

Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015

ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics.

Arvind Ramanathan, Laura L. Pullum, Tanner C. Hobson, Chad A. Steed, Shannon P. Quinn, Chakra S. Chennubhotla, Silvia Valkova

BMC Bioinform., December, 2015

2014

<i>Evol</i> and <i>ProDy</i> for bridging protein sequence evolution and structural dynamics.

Ahmet Bakan, Anindita Dutta, Wenzhi Mao, Ying Liu, Chakra Chennubhotla, Timothy R. Lezon, Ivet Bahar

Bioinform., 2014

2013

Spectral Clustering Strategies for Heterogeneous Disease Data.

Grace T. Huang, Kathryn I. Cunningham, Panayiotis V. Benos, Chakra S. Chennubhotla

Proceedings of the Biocomputing 2013: Proceedings of the Pacific Symposium, 2013

2012

Quasi-Anharmonic Analysis Reveals Intermediate States in the Nuclear Co-Activator Receptor Binding Domain Ensemble.

Virginia M. Burger, Arvind Ramanathan, Andrej J. Savol, Christopher B. Stanley, Pratul K. Agarwal, Chakra S. Chennubhotla

Proceedings of the Biocomputing 2012: Proceedings of the Pacific Symposium, 2012

2011

QAARM: quasi-anharmonic autoregressive model reveals molecular recognition pathways in ubiquitin.

Andrej J. Savol, Virginia M. Burger, Pratul K. Agarwal, Arvind Ramanathan, Chakra S. Chennubhotla

Bioinform., 2011

2007

Correction: Signal Propagation in Proteins and Relation to Equilibrium Fluctuations.

Chakra Chennubhotla, Ivet Bahar

PLoS Comput. Biol., 2007

Signal Propagation in Proteins and Relation to Equilibrium Fluctuations.

Chakra Chennubhotla, Ivet Bahar

PLoS Comput. Biol., 2007

Markov Methods for Hierarchical Coarse-Graining of Large Protein Dynamics.

Chakra Chennubhotla, Ivet Bahar

J. Comput. Biol., 2007

Anisotropic fluctuations of amino acids in protein structures: insights from X-ray crystallography and elastic network models.

Eran Eyal, Chakra Chennubhotla, Lee-Wei Yang, Ivet Bahar

Proceedings of the Proceedings 15th International Conference on Intelligent Systems for Molecular Biology (ISMB) & 6th European Conference on Computational Biology (ECCB), 2007

2006

Topological basis of signal integration in the transcriptional-regulatory network of the yeast, <i>Saccharomyces cerevisiae</i>.

Illés J. Farkas, Chuang Wu, Chakra Chennubhotla, Ivet Bahar, Zoltán N. Oltvai

BMC Bioinform., 2006

2004

Hierarchical Eigensolver for Transition Matrices in Spectral Methods.

Chakra Chennubhotla, Allan D. Jepson

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Perceptual Distance Normalization for Appearance Detection.

Chakra Chennubhotla, Allan D. Jepson

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Spectral Embedding and Min Cut for Image Segmentation.

Francisco J. Estrada, Allan D. Jepson, Chakra Chennubhotla

Proceedings of the British Machine Vision Conference, 2004

2003

Markov Analysis of Protein Sequence Similarities.

Chakra Chennubhotla, Alberto Paccanaro

Proceedings of the Neural Nets, 14th Italian Workshop on Neural Nets, 2003

2002

Half-Lives of EigenFlows for Spectral Clustering.

Chakra Chennubhotla, Allan D. Jepson

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Robust Contrast-Invariant EigenDetection.

Chakra Chennubhotla, Allan D. Jepson, John Midgley

Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001

Sparse PCA: Extracting Multi-scale Structure from Data.

Chakra Chennubhotla, Allan D. Jepson

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

1994

Finding structurally consistent motion correspondences.

David W. Jacobs, Chakra Chennubhotla

Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994