Michael Lassmann

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Professor

Julius-Maximilians-Universität Würzburg Medizinische Fakultät

Germany

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About

Professor Michael Lassmann is a faculty member at Julius-Maximilians-Universität Würzburg Medizinische Fakultät in Germany. His research areas prominently include radiobiology, nuclear medicine, and the application of artificial intelligence within these fields. He has contributed to advancing knowledge on radionuclide therapy and dosimetry through several recent publications, including position papers for the European Association of Nuclear Medicine (EANM) and analyses of innovative imaging techniques.

Recent Grants

Grant: Close

Implications of Medical Low Dose Radiation Exposure

Open Date: 2017-06-01

Close Date: 2021-05-31

Grant: Close

Comparing physical and biological DNA Dosimetry after treatment with radiopharmaceuticals

Open Date: 2012-01-01

Close Date:

Grant: Close

Dosimetry and Health Effects of Diagnostic Applications of Radiopharmaceuticals with particular emphasis on the use in children and adolescents

Open Date: 2010-04-01

Close Date: 2012-01-31

Articles (10)

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2023

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2023

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2022

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2022

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2022

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2022

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2022

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2022

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2022

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2022

Collaborators (3)

Jolanta Kunikowska

Medical University of Warsaw

POLAND

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Fijs van leeuwen

Professor and head of the Interventional Molecular Imaging Laboratory

Leiden University Medical Center

NETHERLANDS

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Kuangyu Shi

SWITZERLAND

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Michael Lassmann

Research Interests

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Recent Grants

Articles (10)

An EANM position paper on advancing radiobiology for shaping the future of nuclear medicine.

Correction to: European Association of Nuclear Medicine (EANM) response to the proposed ASTRO's framework for radiopharmaceutical therapy curriculum development for trainees.

European Association of Nuclear Medicine (EANM) response to the proposed ASTRO's framework for radiopharmaceutical therapy curriculum development for trainees.

Determinants of target absorbed dose in radionuclide therapy.

Quantification of the volume fraction of fat, water and bone mineral in spongiosa for red marrow dosimetry in molecular radiotherapy by using a dual-energy (SPECT/)CT

An EANM position paper on the application of artificial intelligence in nuclear medicine.

Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset.

Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Is a single late SPECT/CT based kidney <sup>177</sup>Lu-dosimetry superior to hybrid dosimetry with sequential multiple time-point whole-body planar scans in combination with an early SPECT/CT?

Repair of α-particle-induced DNA damage in peripheral blood mononuclear cells after internal ex vivo irradiation with <sup>223</sup>Ra.

Collaborators (3)

Jolanta Kunikowska

Fijs van leeuwen

Kuangyu Shi

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