Automated segmentation of MS lesions in FLAIR, DIR and T2-w MR images via an information theoretic approach. - Jason E. Hill; Kevin Matlock; Ranadip Pal; Brian Nutter; Sunanda Mitra (Image Processing, 2016)

Combination therapy design for maximizing sensitivity and minimizing toxicity. - Kevin Matlock; Noah Berlow; Charles Keller; Ranadip Pal (BMC Bioinform., 2017)

An investigation of proteomic data for application in precision medicine. - Kevin Matlock; Saugato Rahman Dhruba; Moazzam Nazir; Ranadip Pal (BHI, 2018)

Dimensionality Reduction based Transfer Learning applied to Pharmacogenomics Databases. - Saugato Rahman Dhruba; Raziur Rahman; Kevin Matlock; Souparno Ghosh; Ranadip Pal (EMBC, 2018)

Application of transfer learning for cancer drug sensitivity prediction. - Saugato Rahman Dhruba; Raziur Rahman; Kevin Matlock; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2018)

Investigation of model stacking for drug sensitivity prediction. - Kevin Matlock; Carlos De Niz; Raziur Rahman; Souparno Ghosh; Ranadip Pal (BMC Bioinform., 2018)

Evaluating the consistency of large-scale pharmacogenomic studies. - Raziur Rahman; Saugato Rahman Dhruba; Kevin Matlock; Carlos De Niz; Souparno Ghosh; Ranadip Pal (Briefings Bioinform., 2019)

Sstack: an R package for stacking with applications to scenarios involving sequential addition of samples and features. - Kevin Matlock; Raziur Rahman; Souparno Ghosh; Ranadip Pal (Bioinform., 2019)

Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer. - Narmada Naik; Ayush Khandelwal; Mohit Joshi; Madhusudan Atre; Hollis Wright; Kavya Kannan; Scott Hill; Giridhar Mamidipudi; Ganapati Srinivasa; Carlo Bifulco; Brian Piening; Kevin Matlock (ICHI, 2024)