日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Direct integration of deep learning-based GTV auto-segmentation into a clinical radiotherapy planning system

将基于深度学习的GTV自动分割直接集成到临床放射治疗计划系统中

Huynh, Bao Ngoc; Futsaether, Cecilia Marie; Tomic, Oliver; Liland, Kristian Hovde; Kakar, Manish; Hellebust, Taran Paulsen; Malinen, Eirik; Dale, Einar; Rydén-Eilertsen, Karsten

Attention-based Vision Transformer Enables Early Detection of Radiotherapy-Induced Toxicity in Magnetic Resonance Images of a Preclinical Model

基于注意力机制的视觉转换器能够早期检测临床前模型磁共振图像中放射治疗引起的毒性

Kakar, Manish; Huynh, Bao Ngoc; Zlygosteva, Olga; Juvkam, Inga Solgård; Edin, Nina; Tomic, Oliver; Futsaether, Cecilia Marie; Malinen, Eirik

CNN-based prediction using early post-radiotherapy MRI as a proxy for toxicity in the murine head and neck

利用早期放疗后MRI作为小鼠头颈部毒性的指标,进行基于CNN的预测

Huynh, Bao Ngoc; Kakar, Manish; Zlygosteva, Olga; Juvkam, Inga Solgård; Edin, Nina; Tomic, Oliver; Futsaether, Cecilia Marie; Malinen, Eirik

Corrigendum: Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

更正:头颈癌治疗结果预测:基于传统放射组学特征的机器学习与深度学习放射组学的比较

Huynh, Bao Ngoc; Groendahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsaether, Cecilia Marie

Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics

头颈癌治疗结果预测:基于传统放射组学特征的机器学习与深度学习放射组学的比较

Huynh, Bao Ngoc; Groendahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Skjei; Hoebers, Frank; van Elmpt, Wouter; Malinen, Eirik; Dale, Einar; Futsaether, Cecilia Marie

Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning

基于深度学习和跨物种迁移学习的犬头颈癌自动肿瘤大体分割

Groendahl, Aurora Rosvoll; Huynh, Bao Ngoc; Tomic, Oliver; Søvik, Åste; Dale, Einar; Malinen, Eirik; Skogmo, Hege Kippenes; Futsaether, Cecilia Marie

Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients

基于深度学习的头颈癌患者PET/CT图像中肿瘤体积和受累淋巴结的自动勾画

Moe, Yngve Mardal; Groendahl, Aurora Rosvoll; Tomic, Oliver; Dale, Einar; Malinen, Eirik; Futsaether, Cecilia Marie