Jukka Kemppainen

Professor in Clinical Physiology and Nuclear Medicine

University of Turku

Finland

Research Interests

Explore related searches

Professors in Finland Professors in Medical Imaging Medical Imaging professors in Finland

Contact this professor

ORCID

Google Scholar

About

Jukka Kemppainen is a Professor in Clinical Physiology and Nuclear Medicine at the University of Turku, Finland. His research focuses on advanced imaging techniques, including deep learning applications in the classification and segmentation of head and neck cancers, as well as prostate cancer detection using PET and MRI. He has contributed significantly to the understanding of medical image classification through the use of convolutional neural networks and has published numerous articles on these topics.

Jukka Kemppainen

Research Interests

Explore related searches

Contact this professor

About

Articles (19)

Prospective comparison of 18F-PSMA-1007 PET/CT and MRI with histopathology as the reference standard for intraprostatic tumour detection and T-staging of high-risk prostate cancer

Deep learning‐based 3D classification of head and neck cancer PET/MRI: Radiologist comparison and Grad‐CAM interpretability

Comparison of thresholds for a convolutional neural network classifying medical images

One-click annotation to improve segmentation by a convolutional neural network for PET images of head and neck cancer patients

Comparison of thresholds for a convolutional neural network classifying medical images

Classification of head and neck cancer from PET images using convolutional neural networks

New method of using a convolutional neural network for 2D intraprostatic tumor segmentation from PET images

Automatic Segmentation of Head and Neck Cancer from PET-MRI Data Using Deep Learning

Classification of head and neck cancer from PET images using convolutional neural networks

Flare on [<SUP>18</SUP>F]PSMA-1007 PET/CT after short-term androgen deprivation therapy and its correlation to FDG uptake: possible marker of tumor aggressiveness in treatment-naive metastatic prostate cancer patients

Flare on [<sup>18</sup>F]PSMA-1007 PET/CT after short-term androgen deprivation therapy and its correlation to FDG uptake: possible marker of tumor aggressiveness in treatment-naïve metastatic prostate cancer patients.

Diagnostic Accuracy of <sup>18</sup>F-FDG-PET/CT and <sup>18</sup>F-FDG-PET/MRI in Detecting Locoregional Recurrence of HNSCC 12 Weeks after the End of Chemoradiotherapy: Single-Center Experience with PET/MRI.

Value of <sup>68</sup>Ga-labeled bombesin antagonist (RM2) in the detection of primary prostate cancer comparing with [<sup>18</sup>F]fluoromethylcholine PET-CT and multiparametric MRI-a phase I/II study.

Cool-Water Immersion Reduces Postexercise Quadriceps Femoris Muscle Perfusion More Than Cold-Water Immersion.

Correlation of Somatostatin Receptor 1–5 Expression, [68Ga]Ga-DOTANOC, [18F]F-FDG PET/CT and Clinical Outcome in a Prospective Cohort of Pancreatic Neuroendocrine Neoplasms

Response to the Letter to the Editor: Prospective comparison of <sup>18</sup>F-PSMA-1007 PET/CT, whole-body MRI and CT in primary nodal staging of unfavourable intermediate- and high-risk prostate cancer.

More Than Meets the Eye: Scientific Rationale behind Molecular Imaging and Therapeutic Targeting of Prostate-Specific Membrane Antigen (PSMA) in Metastatic Prostate Cancer and Beyond.

Prospective comparison of <sup>18</sup>F-PSMA-1007 PET/CT, whole-body MRI and CT in primary nodal staging of unfavourable intermediate- and high-risk prostate cancer.

Response to Letter on use of functional imaging by 11C-metomidate PET for primary aldosteronism subtyping.

Collaborators (8)

Riku Klén

Pasi I Nevalainen

Maria Sundvall

Jussi Hirvonen

Aleksi Schrey

Tiina Vesterinen

Peter J. Boström

Juhani Knuuti

How do I reach out?

Meet Kite AI