Jan Unkelbach

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Assistant Professor of Medical Physics

University of Zurich

Switzerland

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About

Jan Unkelbach is an Assistant Professor of Medical Physics at the University of Zurich, Switzerland. His research encompasses a range of topics including lymphatic spread in head and neck cancer, combined proton-photon therapy, and advanced imaging techniques for radiation treatment planning. His recent publications focus on systems modeling of lymph node involvement in cancer, optimization of treatment techniques, and quantification of uncertainties in radiation therapy.

Recent Grants

Grant: Close

Online-learning and deep learning-based editing for improved automatic segmentation

Open Date: 2020-07-01

Close Date: 2022-07-01

Grant: Close

Spatiotemporal fractionation in radiotherapy

Open Date: 2020-06-01

Close Date: 2023-11-30

Grant: Close

Combined proton-photon radiotherapy

Open Date: 2019-09-01

Close Date: 2023-02-01

Grant: Close

Artificial Intelligence in Oncological Imaging

Open Date: 2019-01-01

Close Date: 2025-01-01

Grant: Close

MIG-ART - MRI Guided Adaptive Radiation oncology

Open Date: 2018-06-01

Close Date: 2019-05-31

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Collaborators (2)

Martin Pruschy

Lecturer

ETH Zürich

SWITZERLAND

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Sojin Shim

University Hospital of Zurich

SWITZERLAND

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Jan Unkelbach

Research Interests

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About

Recent Grants

Articles (20)

A probabilistic model of bilateral lymphatic spread in head and neck cancer.

Fraction-variant beam orientation optimization for spatiotemporal fractionation schemes.

Updating "A dataset on patient-individual lymph node involvement in oropharyngeal squamous cell carcinoma" with an additional dataset from a second institution.

Modelling occult lymph node metastases in HNSCC patients with a trinary state hidden Markov model.

Optimal use of limited proton resources for liver cancer patients in combined proton-photon treatments.

Patterns of lymph node involvement for oral cavity squamous cell carcinoma.

A new approach to combined proton-photon therapy for metastatic cancer patients.

Modelling the lymphatic metastatic progression pathways of OPSCC from multi-institutional datasets.

Quantification of deformable image registration uncertainties for dose accumulation on head and neck cancer proton treatments.

An in-silico planning study of stereotactic body radiation therapy for polymetastatic patients with more than ten extra-cranial lesions.

Radiation-induced lymphopenia does not impact treatment efficacy in a mouse tumor model.

Fully automated breast segmentation on spiral breast computed tomography images

Joint Optimization of Radiotherapy Treatments Involving Multiple Radiation Modalities

Joint Optimization of Radiotherapy Treatments Involving Multiple Radiation Modalities

A dataset on patient-individual lymph node involvement in oropharyngeal squamous cell carcinoma

A novel stochastic optimization method for handling misalignments of proton and photon doses in combined treatments

Combined proton-photon therapy for non-small cell lung cancer

Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network

Technical note: Optimal allocation of limited proton therapy resources using model-based patient selection

Detailed patient-individual reporting of lymph node involvement in oropharyngeal squamous cell carcinoma with an online interface

Collaborators (2)

Martin Pruschy

Sojin Shim

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