Shikha Chaganti

According to our database, Shikha Chaganti authored at least 18 papers between 2014 and 2024.

Collaborative distances:

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

2024

Deep learning-based identification of patients at increased risk of cancer using routine laboratory markers.

Vivek Singh, Shikha Chaganti, Matthias Siebert, Soumya Rajesh, Andrei Puiu, Raj Gopalan, Jamie Gramz, Dorin Comaniciu, Ali Kamen

CoRR, 2024

2022

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.

Cailey I. Kerley, Shikha Chaganti, Tin Q. Nguyen, Camilo Bermudez, Laurie E. Cutting, Lori L. Beason-Held, Thomas A. Lasko, Bennett A. Landman

Neuroinformatics, 2022

2020

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort.

Bogdan Georgescu, Shikha Chaganti, Gorka Bastarrika Aleman, Eduardo Jose Mortani Barbosa Jr., Jordi Broncano Cabrero, Guillaume Chabin, Thomas Flohr, Philippe Grenier, Sasa Grbic, Nakul Gupta, François Mellot, Savvas Nicolaou, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

CoRR, 2020

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19.

Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas J. Re, Dorin Comaniciu

CoRR, 2020

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT.

Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas J. Re, Pina C. Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu

CoRR, 2020

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images.

Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu

CoRR, 2020

2019

Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing.

Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko

IEEE J. Biomed. Health Informatics, 2019

Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease.

Shikha Chaganti, Kevin Mundy, Michael P. DeLisi, Katrina Nelson, Robert L. Harrigan, Robert L. Galloway, Bennett A. Landman, Louise A. Mawn

J. Digit. Imaging, 2019

Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network.

Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman

Proceedings of the Medical Imaging 2019: Image Processing, 2019

Contextual Deep Regression Network for Volume Estimation in Orbital CT.

Shikha Chaganti, Camilo Bermudez, Louise A. Mawn, Thomas A. Lasko, Bennett A. Landman

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Towards Portable Large-Scale Image Processing with High-Performance Computing.

Yuankai Huo, Justin A. Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman

J. Digit. Imaging, 2018

Quadratic: quality of dice in registration circuits.

Shikha Chaganti, Bennett A. Landman

Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017

Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments.

Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew J. Plassard, Robert L. Harrigan, Louise A. Mawn, Bennett A. Landman

Proceedings of the Medical Imaging 2017: Image Processing, 2017

EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function.

Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman

Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017

2016

A Bayesian framework for early risk prediction in traumatic brain injury.

Shikha Chaganti, Andrew J. Plassard, Laura Wilson, Miya A. Smith, Mayur B. Patel, Bennett A. Landman

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles.

Shikha Chaganti, Katrina Nelson, Kevin Mundy, Yifu Luo, Robert L. Harrigan, Steve Damon, Daniel Fabbri, Louise A. Mawn, Bennett A. Landman

Proceedings of the Medical Imaging 2016: Image Processing, 2016

2014

A dynamic P300-based BCI speller using a language model.

Anca L. Ralescu, Mengxia Wang, Shikha Chaganti, Qiang Han

Int. J. Adv. Intell. Paradigms, 2014

Comparative study on feature descriptors for brain image analysis.

Kazuhiko Tamaki, Kiichi Fukuma, Hiroharu Kawanaka, Haruhiko Takase, Shinji Tsuruoka, Bruce J. Aronow, Shikha Chaganti

Proceedings of the 2014 Joint 7th International Conference on Soft Computing and Intelligent Systems (SCIS) and 15th International Symposium on Advanced Intelligent Systems (ISIS), 2014