3 citations · 6 across the 5 of their papers we have counts for
6 papers
Modeling Bilateral Lymphatic Head and Neck Tumour Progression for Personalized Elective Target Volume Definition
Kristoffer Moos, Anne Ivalu Sander Holm, Yoel Perez Haas +3
Objective: Large irradiated volumes are a major contributor to severe side-effects in patients with head and neck cancer undergoing curatively intended radiotherapy. We propose a d…
Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
Muhammad Imran, Jonathan R. Krebs, Vishal Balaji Sivaraman +60
Multi-class segmentation of the aorta in computed tomography angiography (CTA) scans is essential for diagnosing and planning complex endovascular treatments for patients with aort…
Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy
Jintao Ren, Kim Hochreuter, Mathis Ersted Rasmussen +2
Radiation therapy (RT) is a vital part of treatment for head and neck cancer, where accurate segmentation of gross tumor volume (GTV) is essential for effective treatment planning.…
UMambaAdj: Advancing GTV Segmentation for Head and Neck Cancer in MRI-Guided RT with UMamba and nnU-Net ResEnc Planner
Jintao Ren, Kim Hochreuter, Jesper Folsted Kallehauge +1
Magnetic Resonance Imaging (MRI) plays a crucial role in MRI-guided adaptive radiotherapy for head and neck cancer (HNC) due to its superior soft-tissue contrast. However, accurate…
Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging
Jintao Ren, Muheng Li, Stine Sofia Korreman
This report presents a normalization block for automated tumor segmentation in CT/PET scans, developed for the autoPET III Challenge. The key innovation is the introduction of the…
Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
Jintao Ren, Mathis Rasmussen, Jasper Nijkamp +2
Deep learning presents novel opportunities for the auto-segmentation of gross tumor volume (GTV) in head and neck cancer (HNC), yet fully automatic methods usually necessitate sign…