Comparing Deep Learning and Conventional Machine Learning for Outcome Prediction of Head and Neck Cancer in PET/CT. - Bao-Ngoc Huynh; Jintao Ren; Aurora Rosvoll Groendahl; Oliver Tomic; Stine Sofia Korreman; Cecilia Marie Futsaether (HECKTOR@MICCAI, 2021)

PET Normalizations to Improve Deep Learning Auto-Segmentation of Head and Neck Tumors in 3D PET/CT. - Jintao Ren; Bao-Ngoc Huynh; Aurora Rosvoll Groendahl; Oliver Tomic; Cecilia Marie Futsaether; Stine Sofia Korreman (HECKTOR@MICCAI, 2021)

UMamba Adjustment: 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; Stine Sofia Korreman (HNTS-MRG@MICCAI, 2024)

Gradient Map-Assisted Head and Neck Tumor Segmentation: A Pre-RT to Mid-RT Approach in MRI-Guided Radiotherapy. - Jintao Ren; Kim Hochreuter; Mathis Rasmussen; Jesper Folsted Kallehauge; Stine Sofia Korreman (HNTS-MRG@MICCAI, 2024)

Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images. - Jintao Ren; Mathis Rasmussen; Jasper Nijkamp; Jesper Grau Eriksen; Stine Sofia Korreman (CoRR, 2024)

Sine Wave Normalization for Deep Learning-Based Tumor Segmentation in CT/PET Imaging. - Jintao Ren; Muheng Li; Stine Sofia Korreman (CoRR, 2024)

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; Stine Sofia Korreman (CoRR, 2024)

Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge. - Muhammad Imran 013; Jonathan R. Krebs; Vishal Balaji Sivaraman; Teng Zhang; Amarjeet Kumar; Walker R. Ueland; Michael J. Fassler; Jinlong Huang; Xiao Sun; Lisheng Wang; Pengcheng Shi; Maximilian Rokuss; et al. (CoRR, 2025)