GitHub

SegLLM: Multi-round Reasoning Segmentation

We present SegLLM, a novel multi-round interactive segmentation model that leverages conversational memory of both visual and textual outputs to reason over previously segmented objects and past ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

DeepSeg: A transfer-learning segmentation tool for limited sample training of nonhuman primate MRI

Abstract: Tissue segmentation of individual magnetic resonance imaging (MRI) is a fundamental step in building accurate head models for brain stimulation. In nonhuman primates (NHPs), due to limited ...
IEEE

Deep Learning Segmentation of Seismic Facies Based on Proximity Constraint Strategy: Innovative Application of UMA-Net Model

Abstract: Intelligent seismic facies segmentation has recently gained significant attention, particularly with the application of deep learning technologies. However, existing methods face ...