Towards better than human capability in diagnosing prostate cancer using infrared spectroscopic imaging. - Xavier Llorà; Rohith K. Reddy; Brian Matesic; Rohit Bhargava (GECCO, 2007)

Reconstructing FT-IR spectroscopic imaging data with a sparse prior. - Spencer P. Brady; Minh N. Do; Rohit Bhargava (ICIP, 2009)

On the Homogenization of Data from Two Laboratories Using Genetic Programming. - Jose Garcia Moreno-Torres; Xavier Llorà; David E. Goldberg; Rohit Bhargava (IWLCS, 2009)

Computer-aided detection of HER2 amplification status using FISH images: a preliminary study. - Bin Zheng 001; Xiao-Hui Wang 011; Urvashi Surti; Rohit Bhargava; David Gur (Computer-Aided Diagnosis, 2009)

Observer-invariant histopathology using genetics-based machine learning. - Xavier Llorà; Anusha Priya; Rohit Bhargava (Nat. Comput., 2009)

An Evolutionary Approach to Intelligent Planning. - Metha Shikha; Bhuvan Sachdeva; Rohit Bhargava; Hema Banati (SEMCCO, 2010)

A new segmentation framework for infrared spectroscopic imaging using frequent pattern mining. - Jin Tae Kwak; Saurabh Sinha; Rohit Bhargava (ISBI, 2011)

Modeling fourier transform infrared spectroscopic imaging of Prostate and Breast Cancer tissue specimens. - Rohith K. Reddy; Brynmor J. Davis; Paul Scott Carney; Rohit Bhargava (ISBI, 2011)

Denoising and deblurring of Fourier transform infrared spectroscopic imaging data. - Tan H. Nguyen; Rohith K. Reddy; Michael J. Walsh 005; Matthew Schulmerich; Gabriel Popescu; Minh N. Do; Rohit Bhargava (Computational Imaging, 2012)

Optimizing the design of FT-IR spectroscopic imaging instruments to obtain increased spatial resolution of chemical species. - Rohith K. Reddy; David Mayerich; Michael J. Walsh 005; Matthew Schulmerich; Paul Scott Carney; Rohit Bhargava (ISBI, 2012)

Three-Dimensional In Silico Breast Phantoms for Multimodal Image Simulations. - David M. Mahr; Rohit Bhargava; Michael F. Insana (IEEE Trans. Medical Imaging, 2012)

Real-time interactive data mining for chemical imaging information: application to automated histopathology. - David Mayerich; Michael J. Walsh 005; Matthew Schulmerich; Rohit Bhargava (BMC Bioinform., 2013)

Repairing fractures between data using genetic programming-based feature extraction: A case study in cancer diagnosis. - Jose Garcia Moreno-Torres; Xavier Llorà; David E. Goldberg; Rohit Bhargava (Inf. Sci., 2013)

Breast histopathology using random decision forests-based classification of infrared spectroscopic imaging data. - David M. Mayerich; Michael J. Walsh 005; Andre Kadjacsy-Balla; Shachi Mittal; Rohit Bhargava (Digital Pathology, 2014)

Fourier transform infrared (FT-IR) spectroscopy and imaging of the nucleus to characterize DNA contributions in different phases of the cell cycle. - Saumya Tiwari; Xinying Zong; Sarah E. Holton; K. V. Prasanth; Rohit Bhargava (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2015)

High-definition Fourier transform infrared spectroscopic imaging of breast tissue. - L. Suzanne Leslie; Andre Kadjacsy-Balla; Rohit Bhargava (Digital Pathology, 2015)

A four class model for digital breast histopathology using high-definition Fourier transform infrared (FT-IR) spectroscopic imaging. - Shachi Mittal; Tomasz P. Wrobel; L. Suzanne Leslie; Andre Kadjacsy-Balla; Rohit Bhargava (Digital Pathology, 2016)

High-definition Fourier transform infrared spectroscopic imaging of prostate tissue. - Tomasz P. Wrobel; Jin Tae Kwak; Andre Kadjacsy-Balla; Rohit Bhargava (Digital Pathology, 2016)

Automated prostate tissue referencing for cancer detection and diagnosis. - Jin Tae Kwak; Stephen M. Hewitt; André Alexander Kajdacsy-Balla; Saurabh Sinha; Rohit Bhargava (BMC Bioinform., 2016)

A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging. - Kianoush Falahkheirkhah; Kevin Yeh; Shachi Mittal; Luke Pfister; Rohit Bhargava (CoRR, 2019)

Freeform Assembly Planning. - Matthew K. Gelber; Greg Hurst; Rohit Bhargava (IEEE Trans Autom. Sci. Eng., 2019)

A generative adversarial approach to facilitate archival-quality histopathologic diagnoses from frozen tissue sections. - Kianoush Falahkheirkhah; Tao Guo; Michael Hwang; Pheroze Tamboli; Christopher G. Wood; Jose A. Karam; Kanishka Sircar; Rohit Bhargava (CoRR, 2021)

Enhancing hyperspectral imaging. - Rohit Bhargava; Kianoush Falahkheirkhah (Nat. Mach. Intell., 2021)

DRB-Net: Dilated Residual Block Network for Infrared Image Restoration. - Kianoush Falahkheirkhah; Kevin Yeh; Matthew P. Confer; Rohit Bhargava (ISVC (2), 2022)

Deepfake histological images for enhancing digital pathology. - Kianoush Falahkheirkhah; Saumya Tiwari; Kevin Yeh; Sounak Gupta; Loren Herrera-Hernandez; Michael R. McCarthy; Rafael E. Jimenez; John C. Cheville; Rohit Bhargava (CoRR, 2022)

A Domain-Shift Invariant CNN Framework for Cardiac MRI Segmentation Across Unseen Domains. - Sanjeet S. Patil; Manojkumar Ramteke; Mansi Verma; Sandeep Seth; Rohit Bhargava; Shachi Mittal; Anurag S. Rathore (J. Imaging Inform. Medicine, 2023)

Are We Ready for Out-of-Distribution Detection in Digital Pathology? - Ji-Hun Oh; Kianoush Falahkheirkhah; Rohit Bhargava (MICCAI (10), 2024)

Detecting Hallucinations in Virtual Histology with Neural Precursors. - Ji-Hun Oh; Kianoush Falahkheirkhah; Rohit Bhargava (CoRR, 2024)

Finer Disentanglement of Aleatoric Uncertainty Can Accelerate Chemical Histopathology Imaging. - Ji-Hun Oh; Kianoush Falahkheirkhah; Rohit Bhargava (CoRR, 2025)