3d chest ct 1adaptive normalization 1anatomical guidance 1brain lesion segmentation 1cross-modal reasoning 1deep learning 1medical visual grounding 1MRI 1nnunet 1traumatic brain injury 1voxel-level grounding 1
From the 2 of 2 linked papers with an AI index.
2 papers
cs.CV2026
Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An nnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge
Inhwa Son, Gaeun Lee, Sohyeon Sim +1
The paper presents a deep‑learning solution using nnU‑Net with adaptive intensity normalization confined to brain tissue to segment lesions in moderate to severe traumatic brain in…
cs.CV2026
Decouple and Reason: Anatomically Guided Two-Stage Voxel-Level Grounding of Free-Text Findings in 3D Chest CT
Kwang-Hyun Uhm, Inhwa Son, Sung-Jea Ko
The paper introduces a two‑stage decoupled framework that first performs class‑agnostic lesion segmentation on 3D chest CT scans and then aligns the resulting sub‑volumes with free…