Comparative study on feature descriptors for brain image analysis. - Kazuhiko Tamaki; Kiichi Fukuma; Hiroharu Kawanaka; Haruhiko Takase; Shinji Tsuruoka; Bruce J. Aronow; Shikha Chaganti (SCIS&ISIS, 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)

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 (Image Processing, 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 (Image Processing, 2016)

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 (DLMIA/ML-CDS@MICCAI, 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 (Image Processing, 2017)

Quadratic: quality of dice in registration circuits. - Shikha Chaganti; Bennett A. Landman (Image Processing, 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; et al. (J. Digit. Imaging, 2018)

Contextual Deep Regression Network for Volume Estimation in Orbital CT. - Shikha Chaganti; Camilo Bermudez; Louise A. Mawn; Thomas A. Lasko; Bennett A. Landman (MICCAI (6), 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 (Image Processing, 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)

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)

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. - Donghao Zhang; Siqi Liu 001; Shikha Chaganti; Eli Gibson; Zhoubing Xu; Sasa Grbic; Weidong Cai 001; 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 001; Bogdan Georgescu; Philippe Grenier; Sasa Grbic; Siqi Liu 001; François Mellot; Nicolas Murray; Savvas Nicolaou; et al. (CoRR, 2020)

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19. - Siqi Liu 001; Bogdan Georgescu; Zhoubing Xu; Youngjin Yoo; Guillaume Chabin; Shikha Chaganti; Sasa Grbic; Sebastian Piat; Brian Teixeira; Abishek Balachandran; Vishwanath RS; Thomas J. Re; et al. (CoRR, 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 001; Philippe Grenier; Sasa Grbic; Nakul Gupta; François Mellot; Savvas Nicolaou; et al. (CoRR, 2020)

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)

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)

Evaluating the impact of common clinical confounders on performance of deep-learning-based sepsis risk assessment. - Shikha Chaganti; Vivek Singh; Alasdair Edward Gent; Rishikesan Kamaleswaran; Ali Kamen (Frontiers Artif. Intell., 2025)