Research output per year
Research output per year
Personal profile
Research interests
Exploring Medical Imaging potential in Radiotherapy using Deep Learning. Currently working on novel deep learning segmentation model which could be able to guide radiation oncologists in Head and Neck tumor segmentation on PET-CT images.
Education/Academic qualification
Statistics, Masters Degree, MSc in Statistics and Machine Learning, Linkoping Univ, Linkoping University
Aug-2017 → Jun-2019
Award Date: 4-Jun-2019
Engineering, Bachelor Degree, BSc in Mathematics for Engineering, Politecnico di Torino
Oct-2013 → Oct-2016
Award Date: 26-Oct-2016
External positions
Research Scientist, ContextVision AB
Jan-2019 → Sept-2019
Data and Web Analyst, Drexcode
Oct-2016 → Jul-2017
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Deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for predicted tumor probability in FDG PET and CT images
De Biase, A., Sijtsema, N. M., van Dijk, L., Langendijk, J. A. & van Ooijen, P. M. A., 2023, In: Physics in Medicine and Biology. 68, 5Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile20 Downloads (Pure) -
Swin UNETR for Tumor and Lymph Node Segmentation Using 3D PET/CT Imaging: A Transfer Learning Approach
Chu, H., De la O Arévalo, L. R., Tang, W., Ma, B., Li, Y., De Biase, A., Both, S., Langendijk, J. A., van Ooijen, P., Sijtsema, N. M. & van Dijk, L. V., 2023, Head and Neck Tumor Segmentation and Outcome Prediction - 3rd Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Proceedings. Andrearczyk, V., Oreiller, V., Depeursinge, A. & Hatt, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 114-120 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13626 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile1 Citation (Scopus)2 Downloads (Pure) -
Self-supervised Multi-modality Image Feature Extraction for the Progression Free Survival Prediction in Head and Neck Cancer
Ma, B., Guo, J., De Biase, A., Sourlos, N., Tang, W., van Ooijen, P., Both, S. & Sijtsema, N. M., 2022, Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Andrearczyk, V., Oreiller, V., Hatt, M. & Depeursinge, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 308-317 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13209 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile4 Citations (Scopus)43 Downloads (Pure) -
Skip-SCSE Multi-scale Attention and Co-learning Method for Oropharyngeal Tumor Segmentation on Multi-modal PET-CT Images
De Biase, A., Tang, W., Sourlos, N., Ma, B., Guo, J., Sijtsema, N. M. & van Ooijen, P., 2022, Head and Neck Tumor Segmentation and Outcome Prediction - 2nd Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Proceedings. Andrearczyk, V., Oreiller, V., Hatt, M. & Depeursinge, A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 109-120 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13209 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile4 Citations (Scopus)64 Downloads (Pure) -
Slice-by-slice deep learning aided oropharyngeal cancer segmentation on PET and CT images
De Biase, A., Sijtsema, N. M., Langendijk, J. A., van Dijk, L. V. & van Ooijen, P. M., May-2022, In: Radiotherapy and Oncology. 170, p. S1392-S1394 4 p.Research output: Contribution to journal › Meeting Abstract › Academic
Activities
- 3 Attending an event
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Annual KOLFF Scientific Conference
Alessia de Biase (Attendee)
6-Oct-2022Activity: Organising and attending an event › Attending an event › Academic
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EuSoMII Annual Meeting 2022
Alessia de Biase (Attendee)
14-Oct-2022 → 15-Oct-2022Activity: Organising and attending an event › Attending an event › Academic
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ESTRO 2022
Alessia de Biase (Attendee)
6-May-2022 → 10-May-2022Activity: Organising and attending an event › Attending an event › Academic