3 papers
eess.IV2025
ReCoSeg++:Extended Residual-Guided Cross-Modal Diffusion for Brain Tumor Segmentation
Sara Yavari, Rahul Nitin Pandya, Jacob Furst
Accurate segmentation of brain tumors in MRI scans is critical for clinical diagnosis and treatment planning. We propose a semi-supervised, two-stage framework that extends the ReC…
eess.IV2025
DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
Sara Yavari, Rahul Nitin Pandya, Jacob Furst
Accurate segmentation of brain tumors in MRI scans is essential for reliable clinical diagnosis and effective treatment planning. Recently, diffusion models have demonstrated remar…
cs.CV2025
Mitigating Catastrophic Forgetting in the Incremental Learning of Medical Images
Sara Yavari, Jacob Furst
This paper proposes an Incremental Learning (IL) approach to enhance the accuracy and efficiency of deep learning models in analyzing T2-weighted (T2w) MRI medical images prostate…