Detailed Investigation of Lumen-Based Tomographic Co-Registration. - Abhishek Karmakar; Max L. Olender; Farhad Rikhtegar Nezami; David Marlevi; Evan Shlofmitz; Richard A. Shlofmitz; Elazer R. Edelman (BIBM, 2020)

Household Power Consumption Analysis and Prediction Using LSTM. - Varsha Singh; Abhishek Karmakar; Sharik Gazi; Shashwat Mishra; Shubhendra Kumar; Uma Shanker Tiwary (FICTA (1), 2023)

Morphology-based non-rigid registration of coronary computed tomography and intravascular images through virtual catheter path optimization. - Karim Kadry; Abhishek Karmakar; Andreas Schuh; Kersten Petersen; Michiel Schaap; David Marlevi; Charles A. Taylor; Elazer R. Edelman; Farhad Rikhtegar Nezami (CoRR, 2023)

Synergizing Visualization Techniques and Machine Learning for Enhanced Diabetes Prediction and Management Using Tableau. - Varsha Singh; Abhishek Karmakar; Sharik Gazi; Uma Shanker Tiwary (IHCI (2), 2024)

A homogenized two-phase computational framework for meso- and macroscale blood flow simulations. - Abhishek Karmakar; Greg W. Burgreen; Grant Rydquist; James F. Antaki (Comput. Methods Programs Biomed., 2024)

Morphology-Based Non-Rigid Registration of Coronary Computed Tomography and Intravascular Images Through Virtual Catheter Path Optimization. - Karim Kadry; Max L. Olender; Andreas Schuh; Abhishek Karmakar; Kersten Petersen; Michiel Schaap; David Marlevi; Adam UpdePac; Takuya Mizukami; Charles Taylor; Elazer R. Edelman; Farhad Rikhtegar Nezami (IEEE Trans. Medical Imaging, 2025)