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Jaakko Sahlsten

Showing results (1-10 of 21) with videos related to

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Plos One|December 10, 2025
Temporal social network modeling of mobile connectivity data with graph neural networksJoel Jaskari, Chandreyee Roy, Fumiko Ogushi, et al.
Head and Neck Tumor Segmentation for Mr-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings|May 7, 2025
Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNetMikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, et al.
Scientific Reports|July 26, 2019
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema GradingJaakko Sahlsten, Joel Jaskari, Jyri Kivinen, et al.
Plos One|October 11, 2024
DR-GPT: A large language model for medical report analysis of diabetic retinopathy patientsJoel Jaskari, Jaakko Sahlsten, Paula Summanen, et al.
Scientific Reports|April 5, 2020
Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography VolumesJoel Jaskari, Jaakko Sahlsten, Jorma Järnstedt, et al.
International Journal of Computer Assisted Radiology and Surgery|August 18, 2025
Interactive AI annotation of medical images in a virtual reality environmentLotta Orsmaa, Mikko Saukkoriipi, Jari Kangas, et al.
Plos One|June 25, 2024
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT datasetJaakko Sahlsten, Jorma Järnstedt, Joel Jaskari, et al.
Clinical and Translational Radiation Oncology|July 5, 2022
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural networkNicolette Taku, Kareem A Wahid, Lisanne V van Dijk, et al.
Scientific Reports|August 29, 2023
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT datasetJorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, et al.
Seminars in Radiation Oncology|October 6, 2022
Artificial Intelligence for Radiation Oncology Applications Using Public DatasetsKareem A Wahid, Enrico Glerean, Jaakko Sahlsten, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Plos One|December 10, 2025
Temporal social network modeling of mobile connectivity data with graph neural networksJoel Jaskari, Chandreyee Roy, Fumiko Ogushi, et al.
Head and Neck Tumor Segmentation for Mr-Guided Applications : First MICCAI Challenge, HNTS-MRG 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 17, 2024, Proceedings|May 7, 2025
Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNetMikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, et al.
Scientific Reports|July 26, 2019
Deep Learning Fundus Image Analysis for Diabetic Retinopathy and Macular Edema GradingJaakko Sahlsten, Joel Jaskari, Jyri Kivinen, et al.
Plos One|October 11, 2024
DR-GPT: A large language model for medical report analysis of diabetic retinopathy patientsJoel Jaskari, Jaakko Sahlsten, Paula Summanen, et al.
Scientific Reports|April 5, 2020
Deep Learning Method for Mandibular Canal Segmentation in Dental Cone Beam Computed Tomography VolumesJoel Jaskari, Jaakko Sahlsten, Jorma Järnstedt, et al.
International Journal of Computer Assisted Radiology and Surgery|August 18, 2025
Interactive AI annotation of medical images in a virtual reality environmentLotta Orsmaa, Mikko Saukkoriipi, Jari Kangas, et al.
Plos One|June 25, 2024
Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT datasetJaakko Sahlsten, Jorma Järnstedt, Joel Jaskari, et al.
Clinical and Translational Radiation Oncology|July 5, 2022
Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural networkNicolette Taku, Kareem A Wahid, Lisanne V van Dijk, et al.
Scientific Reports|August 29, 2023
Reproducibility analysis of automated deep learning based localisation of mandibular canals on a temporal CBCT datasetJorma Järnstedt, Jaakko Sahlsten, Joel Jaskari, et al.
Seminars in Radiation Oncology|October 6, 2022
Artificial Intelligence for Radiation Oncology Applications Using Public DatasetsKareem A Wahid, Enrico Glerean, Jaakko Sahlsten, et al.
Pageof 3