Research output per year
Research output per year
Personal profile
UKÄ subject classification
- Cancer and Oncology
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Dive into the research topics where Martin Nilsson is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy
Lempart, M., Scherman, J., Nilsson, M. P. & Jamtheim Gustafsson, C., 2023, (Accepted/In press) In: Journal of Applied Clinical Medical Physics.Research output: Contribution to journal › Article › peer-review
Open Access -
Development of a consensus-based delineation guideline for locally recurrent rectal cancer
Piqeur, F., Hupkens, B. J. P., Nordkamp, S., Witte, M. G., Meijnen, P., Ceha, H. M., Berbee, M., Dieters, M., Heyman, S., Valdman, A., Nilsson, M. P., Nederend, J., Rutten, H. J. T., Burger, J. W. A., Marijnen, C. A. M. & Peulen, H. M. U., 2022 Dec, In: Radiotherapy and Oncology. 177, p. 214-221 8 p.Research output: Contribution to journal › Article › peer-review
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Dosimetric and Clinical Predictors for Acute and Late Gastrointestinal Toxicity Following Chemoradiotherapy of Locally Advanced Anal Cancer
Nilsson, M. P., Gunnlaugsson, A., Johnsson, A. & Scherman, J., 2022, In: Clinical Oncology. 34, 1, p. e35-e44Research output: Contribution to journal › Article › peer-review
Open Access -
Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
Lempart, M., Nilsson, M. P., Scherman, J., Gustafsson, C. J., Nilsson, M., Alkner, S., Engleson, J., Adrian, G., Munck af Rosenschöld, P. & Olsson, L. E., 2022 Dec, In: Radiation Oncology. 17, 1, 114.Research output: Contribution to journal › Article › peer-review
Open Access -
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
Lempart, M., Nilsson, M., Scherman, J., Nilsson, M., Jamtheim Gustafsson, C., Munck Af Rosenschöld, P. & Olsson, L. E., 2021, In: Radiotherapy and Oncology. 161, Suppl 1, p. S1417-S1418 PO-1691.Research output: Contribution to journal › Published meeting abstract
Activities
- 1 Organisation of conference
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World Cancer Day 2023
Pia Berntsson (Organiser), Mats Jerkeman (Chair), Marcus Järås (Chair), Elin Trägårdh (Speaker), Anna Hagström-Andersson (Speaker), Axel Hyrenius Wittsten (Speaker) & Martin Nilsson (Speaker)
2023 Feb 4Activity: Participating in or organising an event › Organisation of conference