Publications & scholarly output

Longitudinal Electrocardiographic Surveillance for Cardiac Allograft Rejection After Heart Transplantation

Dhamdhere, Rohan, Manandhar, Sandeep, Modanwal, Gourav, Margulies, Kenneth B., Peyster, Eliot G., Madabhushi, Anant

Multimodal Fusion of Biopsy and Electrocardiogram Data for Rejection Risk Prediction After Heart Transplantation

Manandhar, Sandeep, Dhamdhere, Rohan, Bahadur, T, Margulies, Kenneth B., Peyster, Eliot G., Madabhushi, Anant

1019-P: Artificial Intelligence (AI)-Driven HbA1c Estimation from Retinal Images and Its Correlation with Lab-Measured HbA1c

KAUP, SOUJANYA, SIL KAR, SUDESHNA, RAJALAKSHMI, RAMACHANDRAN, CARRILLO-LARCO, RODRIGO M, DHAMDHERE, ROHAN, MADABHUSHI, ANANT, ANJANA, RANJIT MOHAN, JAGANNATHAN, RAM, ALI, MOHAMMED K, MOHAN, VISWANATHAN, others

889 AI-driven Multi-cohort Analysis of 3D Prostate Gland-Skeleton Morphology for Prognosis of Biochemical Recurrence

Salguero, Jennifer, Medina, Sebastian, Serafin, Robert, Corredor, Germ{\'a}n, Manandhar, Sandeep, Mutha, Pushkar, Dhamdhere, Rohan, Wang, Rui, Chow, Sarah, Romero, Eduardo, others

ADAM: automated digital phenotyping and morphological texture analysis of bone biopsy images using deep learning

Bharadwaj, Satvika, Lima, Florence, Pathak, Tilak Bahadur, Dhamdhere, Rohan, Fu, Pingfu, Malluche, Hartmut, Rao, Madhumathi, Madabhushi, Anant

AI-informed Coronary Artery Tortuosity Index (CArTI) from Cardiac CT Angiography Predicts 5-Year Cardiovascular Risk

Lebowitz, Mendel, Modanwal, Gourav, Dhamdhere, Rohan, Mutha, Pushkar, De Cecco, Carlo, Van Assen, Marly, Madabhushi, Anant

Artificial Intelligence (AI)-Enabled Retinal Biomarkers for Detecting Prediabetes and Diabetes Mellitus

Kaup, Soujanya, Rajalakshmi, Ramachandran, Kar, Sudeshna Sil, Carrillo-Larco, Rodrigo Martin, Dhamdhere, Rohan, Madabhushi, Anant, Narayan, KM Venkat, Anjana, Ranjit Mohan, Ali, Mohammed K, Jagannathan, Ram, others

Evaluation of Artificial Intelligence-Derived Peripapillary and Parafoveal Retinal Vessel Features for Cardiovascular Risk Prediction: Insights from the CRIC Study

Lebowitz, Mendel, Dhamdhere, Rohan, Modanwal, Gourav, Singh, Amritpal, Arepalli, Sruthi, Jain, Nieraj, Rahman, Mahboob, Al-Kindi, Sadeer, Madabhushi, Anant

Fundus photograph-derived computational features predict risk of cardiovascular events in the chronic renal insufficiency cohort clinical observational study

Dhamdhere, Rohan, Modanwal, Gourav, Mutha, Pushkar, Medina, Sebastian, Arepalli, Sruthi, Rahman, Mahboob, Al-Kindi, Sadeer, Madabhushi, Anant, CRIC Study Investigators, others

Medical analysis using spatiotemporal analysis and transformer-based models

Dhamdhere, Rohan, Al-Kindi, Sadeer G, Modanwal, Gourav, Madabhushi, Anant

Oculomics meets exposomics: a roadmap for applying multi-modal ocular biomarkers in precision environmental health research

Cheng, Haoran, Sarnat, Jeremy A, Walker, Douglas I, Madabhushi, Anant, Singh, Amritpal, Dhamdhere, Rohan, Mehta, Jodhbir S, Wong, Tien Yin, Ji, John S, Marsit, Carmen J, others

Opportunistic hepatic steatosis assessment in low-dose coronary artery calcium CT using liver adipose-radiomic index (LARI)

Modanwal, Gourav, Dhamdhere, Rohan, Rajagopalan, Sanjay, Walker, Jonathan, Khera, Amit, De Lemos, James A, Peshock, Ronald, Browning, Jeffrey, Joshi, Parag, Neeland, Ian J, others

Streamlined 4-zone point-of-care ultrasound (POCUS) exam for pulmonary TB

Nakiyingi, Lydia, Wycliff, Nate, Dhamdhere, Rohan, Jovanovska Janeva, Elena, Lwanga, Erica, Shankman, Raphael, Guevarra, Keith, Nabawanuka, Eva, Sridhar, Thejaswini, Ellner, Jerrold, others

UNETVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM

Guo, Xuhui, Dam, Tanmoy, Dhamdhere, Rohan, Modanwal, Gourav, Madabhushi, Anant

AI-derived features of 3D glandular networks are associated with likelihood of biochemical recurrence post radical prostatectomy

Salguero, Jennifer, Abdeltawab, Hisham, Hammouda, Kamal, Corredor, German, Hawley, Sarah, Mutha, Pushkar, Dhamdhere, Rohan, Medina, Sebastian, Pathak, Tilak, Bishop, Kevin, others

AI-Derived Retinal Vasculature Features Predict Cardiovascular Risk in Patients with Chronic Kidney Disease: Insights from the CRIC Study

Dhamdhere, Rohan, Modanwal, Gourav, Rahman, Mahboob, Al-Kindi, Sadeer, Madabhushi, Anant

Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative

Bergquist, Timothy, Loomba, Johanna, Pfaff, Emily, Xia, Fangfang, Zhao, Zixuan, Zhu, Yitan, Mitchell, Elliot, Bhattacharya, Biplab, Shetty, Gaurav, Munia, Tamanna, others

Deep-learning-based hepatic fat assessment

Modanwal, Gourav, Al-Kindi, Sadeer, Walker, Jonathan, Dhamdhere, Rohan, Rajagopalan, Sanjay, Madabhushi, Anant

Explainable AI Better Predicts 3-Year MACE Risk Compared to Clinical and ASCVD Models in the UK Biobank Cohort

Singh, Amritpal, Dhamdhere, Rohan, Modanwal, Gourav, Sil Kar, Sudeshna, Al-Kindi, Sadeer, Madabhushi, Anant

Interpretable survival risk prediction for high-grade glioma patients via radiomic features from peritumoral region

Dhamdhere, Rohan, Bharadwaj, Satvika, Aggarwal, Arpit, Mutha, Pushkar, Shi, Wenqi, Marteau, Benoit, Madabhushi, Anant, Wang, May D

Machine-learning driven automation for digital phenotyping and morphological texture analysis of bone biopsy images

Bharadwaj, Satvika, Lima, Florence, Pathak, Tilak, Dhamdhere, Rohan, Fu, Pingfu, Rao, Madhumathi, Malluche, Hartmut, Madabhushi, Anant

QuLF-CT: a radiomics-based tool for quantification of liver fat fraction on cardiac CT

Modanwal, Gourav, Dhamdhere, Rohan, Khera, Amit, de Lemos, James A, Peshock, Ronald, Browning, Jeffrey, Joshi, Parag, Neeland, Ian, Al-Kindi, Sadeer, Madabhushi, Anant

STAR-Echo: A Novel Biomarker for Prognosis of MACE in Chronic Kidney Disease Patients Using Spatiotemporal Analysis and Transformer-Based Radiomics Models

Dhamdhere, Rohan, Modanwal, Gourav, Makhlouf, Mohamed HE, Shafiabadi Hassani, Neda, Bharadwaj, Satvika, Fu, Pingfu, Milioglou, Ioannis, Rahman, Mahboob, Al-Kindi, Sadeer, Madabhushi, Anant

Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study

Modanwal, Gourav, Al-Kindi, Sadeer, Walker, Jonathan, Dhamdhere, Rohan, Yuan, Lei, Ji, Mengyao, Lu, Cheng, Fu, Pingfu, Rajagopalan, Sanjay, Madabhushi, Anant

Machine Learning for Identifying Salient Regions on the Coronary Artery on CT for Radiomic Feature Extraction and Characterization of CAD

Dhamdhere, Rohan, Modanwal, Gourav, Madabhushi, Anant, Desai, Milind Y, Viswanathan, Vidya Sankar

Learning to count grave sites for cemetery observation models with satellite imagery

Lunga, Dalton, Dhamdhere, Rohan, Walters, Sarah, Bragg, Lauryn, Makkar, Nikhil, Urban, Marie

Evolution of graph classifiers

Domingue, Miguel, Dhamdhere, Rohan, Kanamarlapudi, Naga Durga Harish, Raghupathi, Sunand, Ptucha, Raymond

General-Purpose Deep Point Cloud Feature Extractor

Dominguez, Miguel, Dhamdhere, Rohan, Petkar, Atir, Jain, Saloni, Sah, Shagan, Ptucha, Raymond

Meta learning for graph neural networks

Dhamdhere, Rohan N

Deep learning for philately understanding

Dhamdhere, Rohan, Nguyen, Thang, Rausch, Larry, Ptucha, Raymond

Combination of Oculomics-Based Artery-Derived Fractal Features and Cerebrospinal Fluid Biomarkers Improves Discrimination of Alzheimer's Disease from Healthy Controls

Sil Kar, Sudeshna, Lah, James J, Arepalli, Sruthi, Dhamdhere, Rohan, Asaeikheybari, Golnoush, Modanwal, Gourav, Johnson, Kenneth O, Root, Gary, Sheaff, Clay, Pathak, Tilak, others