Unsupervised Deep Learning Image Segmentation for DNA Double Strand Breaks and Nuclei in Fluorescence Microscopy Images Conference Paper August, 2023
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models Conference Paper December, 2022
High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory Conference Paper October, 2022
An Alternative Timing and Synchronization Approach for Situational Awareness and Predictive Analytics... Conference Paper August, 2022
Predicting Prostate Cancer Directly from Tissue Images using Deep Learning on Mass Spectrometry Imaging and Whole Slide Imaging Data Conference Paper July, 2022
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge Conference Paper March, 2022
IMPLEMENTATION OF THE ENERGY EQUATION SOLVER TO THE LATTICE BOLTZMANN METHOD-BASED CODE PRATHAM Conference Paper March, 2022
How Distinct Structural Flexibility within SARS-CoV-2 Spike Protein Reveals Potential Therapeutic Targets Conference Paper January, 2022
