Synthetic computed tomography for low-field magnetic resonance-guided radiotherapy in the abdomen

Autor: Mariia Lapaeva, Agustina La Greca Saint-Esteven, Philipp Wallimann, Manuel Günther, Ender Konukoglu, Nicolaus Andratschke, Matthias Guckenberger, Stephanie Tanadini-Lang, Riccardo Dal Bello

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 24, Iss , Pp 173-179 (2022)

Background and purpose: The requirement of computed tomography (CT) for radiotherapy planning may be bypassed by synthetic CT (sCT) generated from magnetic resonance (MR), which has recently led to the clinical introduction of MR-only radiotherapy fo

Externí odkaz: https://doaj.org/article/53ed18ae4e234cc9ab771d9034a7b776

Patient-specific quality assurance strategies for synthetic computed tomography in magnetic resonance-only radiotherapy of the abdomen

Autor: Riccardo Dal Bello, Mariia Lapaeva, Agustina La Greca Saint-Esteven, Philipp Wallimann, Manuel Günther, Ender Konukoglu, Nicolaus Andratschke, Matthias Guckenberger, Stephanie Tanadini-Lang

Publikováno v: Physics and Imaging in Radiation Oncology, Vol 27, Iss , Pp 100464- (2023)

Background and purpose: The superior tissue contrast of magnetic resonance (MR) compared to computed tomography (CT) led to an increasing interest towards MR-only radiotherapy. For the latter, the dose calculation should be performed on a synthetic C

Externí odkaz: https://doaj.org/article/a4cb0303373a489c828d29bcf5b74fe3

Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT

Autor: Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joel Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca, Abdallah Mohamed, Mohamed Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge

Publikováno v: Lecture Notes in Computer Science ISBN: 9783031274190
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge
Head and Neck Tumor Segmentation and Outcome Prediction-Third Challenge, Sep 2022, Singapore, Singapore. pp.1-30, ⟨10.1007/978-3-031-27420-6_1⟩

International audience; This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d79b573a15e947eb66bc272f918db2a0
https://doi.org/10.1007/978-3-031-27420-6_1

In silico labeling enables kinetic myelination assay in brightfield

Autor: Jian Fang, Eun Yeong Bergsdorf, Vincent Unterreiner, Agustina La Greca, Oleksandr Dergai, Isabelle Claerr, Ngoc-Hong Luong-Nguyen, Inga Galuba, Ioannis Moutsatsos, Shinji Hatakeyama, Paul Groot-Kormelink, Fanning Zeng, Xian Zhang

Recent advances with deep neural networks have shown the feasibility of acquiring brightfield images with transmitted light and applying in-silico labeling to predict fluorescent images. We have developed a novel in-silico labeling method based on a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bfb5a1a731241c48e85c805d511cb953
https://doi.org/10.1101/2022.09.11.507500

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