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Disambiguation of "Frey, Benjamin"

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The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning.

, , , , , , , , , , , , , , , and . CoRR, (2023)

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Tobias Benjamin Frey

Jörg Benjamin Frey

Benjamin Köckemann

Abundance, niche breadth and stress in the centre and at the border of the distribution range: a macroecological study on abundant and rare tree specie. Uni Göttingen, (2008)

Benjamin Bender

Cerebrospinal fluid and interstitial fluid volume measurement in the human brain at 3T with EPI. Uni Tübingen, (2009)

Benjamin Braatz

Formal modelling and application of graph transformations in the resource description framework. TU Berlin, (2009)
 

Other publications of authors with the same name

Deep learning for brain metastasis detection and segmentation in longitudinal MRI data., , , , , , , , , and 3 other author(s). CoRR, (2021)Deep Learning for automatic head and neck lymph node level delineation., , , , , , , , , and 9 other author(s). CoRR, (2022)The Segment Anything foundation model achieves favorable brain tumor autosegmentation accuracy on MRI to support radiotherapy treatment planning., , , , , , , , , and 6 other author(s). CoRR, (2023)Multi-stage investigation of deep neural networks for COVID-19 B-line feature detection in simulated and in vivo ultrasound images., , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)ChrEn: Cherokee-English Machine Translation for Endangered Language Revitalization., , and . EMNLP (1), page 577-595. Association for Computational Linguistics, (2020)ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective Feedback., , and . ACL (demo), page 272-279. Association for Computational Linguistics, (2021)How can NLP Help Revitalize Endangered Languages? A Case Study and Roadmap for the Cherokee Language., , and . ACL (1), page 1529-1541. Association for Computational Linguistics, (2022)Benchmarking ChatGPT-4 on ACR Radiation Oncology In-Training Exam (TXIT): Potentials and Challenges for AI-Assisted Medical Education and Decision Making in Radiation Oncology., , , , , , , , , and 2 other author(s). CoRR, (2023)