3 papers
cs.CV2026
Parameter-Efficient 3D Segmentation of Liver and Liver tumors: Depthwise factorization Scales Better Than Dense Convolution with Spatial Dimensionality
Adham M. Alkhadrawi, Mohammed A. B. Mahmoud
Three-dimensional dense convolutional networks are the strongest performers on volumetric medical image segmentation, but their parameter counts scale poorly: moving a dense k x k…
q-bio.QM2025
Explainable deep learning framework for cancer therapeutic target prioritization leveraging PPI centrality and node embeddings
Adham M. Alkhadrawi, Kyungsu Kim, Arif M. Rahman +1
We developed an explainable deep learning framework integrating protein-protein interaction (PPI) network centrality metrics with node embeddings for cancer therapeutic target prio…
cs.AI2024
Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis
Kyungsu Kim, Junhyun Park, Saul Langarica +2
This study demonstrates the first in-hospital adaptation of a cloud-based AI, similar to ChatGPT, into a secure model for analyzing radiology reports, prioritizing patient data pri…