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Joel Jaskari

Showing results (11-20 of 22) with videos related to

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Seminars in Radiation Oncology|October 6, 2022
Artificial Intelligence for Radiation Oncology Applications Using Public DatasetsKareem A Wahid, Enrico Glerean, Jaakko Sahlsten, et al.
Scientific Reports|November 4, 2022
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scansJorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, et al.
Frontiers in Oncology|March 17, 2023
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-casesJaakko Sahlsten, Kareem A Wahid, Enrico Glerean, et al.
Communications Medicine|June 8, 2024
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learningJaakko Sahlsten, Joel Jaskari, Kareem A Wahid, et al.
Medrxiv : the Preprint Server for Health Sciences|March 3, 2023
Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-caseJaakko Sahlsten, Joel Jaskari, Kareem A Wahid, et al.
Scientific Reports|August 6, 2025
Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancerMikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, et al.
Frontiers in Oncology|August 15, 2022
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancerMohamed A Naser, Kareem A Wahid, Aaron J Grossberg, et al.
Scientific Data|August 2, 2022
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancerKareem A Wahid, Brennan Olson, Rishab Jain, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipelineZezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
JAMA Network Open|August 10, 2023
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck CancerZezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Seminars in Radiation Oncology|October 6, 2022
Artificial Intelligence for Radiation Oncology Applications Using Public DatasetsKareem A Wahid, Enrico Glerean, Jaakko Sahlsten, et al.
Scientific Reports|November 4, 2022
Comparison of deep learning segmentation and multigrader-annotated mandibular canals of multicenter CBCT scansJorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, et al.
Frontiers in Oncology|March 17, 2023
Segmentation stability of human head and neck cancer medical images for radiotherapy applications under de-identification conditions: Benchmarking data sharing and artificial intelligence use-casesJaakko Sahlsten, Kareem A Wahid, Enrico Glerean, et al.
Communications Medicine|June 8, 2024
Application of simultaneous uncertainty quantification and segmentation for oropharyngeal cancer use-case with Bayesian deep learningJaakko Sahlsten, Joel Jaskari, Kareem A Wahid, et al.
Medrxiv : the Preprint Server for Health Sciences|March 3, 2023
Application of simultaneous uncertainty quantification for image segmentation with probabilistic deep learning: Performance benchmarking of oropharyngeal cancer target delineation as a use-caseJaakko Sahlsten, Joel Jaskari, Kareem A Wahid, et al.
Scientific Reports|August 6, 2025
Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancerMikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, et al.
Frontiers in Oncology|August 15, 2022
Deep learning auto-segmentation of cervical skeletal muscle for sarcopenia analysis in patients with head and neck cancerMohamed A Naser, Kareem A Wahid, Aaron J Grossberg, et al.
Scientific Data|August 2, 2022
Muscle and adipose tissue segmentations at the third cervical vertebral level in patients with head and neck cancerKareem A Wahid, Brennan Olson, Rishab Jain, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Fully-automated sarcopenia assessment in head and neck cancer: development and external validation of a deep learning pipelineZezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
JAMA Network Open|August 10, 2023
Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck CancerZezhong Ye, Anurag Saraf, Yashwanth Ravipati, et al.
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