Research output per year
Research output per year
Personal profile
Research
My research focuses on machine learning and applications within
medicine and biology. I use in particular neural networks, both
shallow and deep models. Current applications include:
- Biomarker discovery, using proteomic data, for various cancer diseases, with a special focus on early detection.
- Survival analysis in cardiac transplantation and how to optimize the match between donors and recipients.
- Decision support for medical images e.g. whole body bone scintigraphy for prostate cancer patients.
UKÄ subject classification
- Bioinformatics (Computational Biology)
- Cancer and Oncology
- Bioinformatics and Systems Biology
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Research output
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The NILS Study Protocol: A Retrospective Validation Study of an Artificial Neural Network Based Preoperative Decision-Making Tool for Noninvasive Lymph Node Staging in Women with Primary Breast Cancer (ISRCTN14341750)
Skarping, I., Dihge, L., Bendahl, P. O., Huss, L., Ellbrant, J., Ohlsson, M. & Rydén, L., 2022 Mar, In: Diagnostics. 12, 3, 582.Research output: Contribution to journal › Article › peer-review
Open Access -
Automated Bone Scan Index as an Imaging Biomarker to Predict Overall Survival in the Zometa European Study/SPCG11
Reza, M., Wirth, M., Tammela, T., Cicalese, V., Veiga, F. G., Mulders, P., Miller, K., Tubaro, A., Debruyne, F., Patel, A., Caris, C., Witjes, W., Thorsson, O., Wollmer, P., Edenbrandt, L., Ohlsson, M., Trägårdh, E. & Bjartell, A., 2021, In: European Urology Oncology. 4, 1, p. 49-55Research output: Contribution to journal › Article › peer-review
4 Citations (SciVal) -
Improving Machine Learning 30-Day Mortality Prediction by Discounting Surprising Deaths
Heyman, E. T., Ashfaq, A., Khoshnood, A., Ohlsson, M., Ekelund, U., Holmqvist, L. D. & Lingman, M., 2021, In: Journal of Emergency Medicine. 61, 6, p. 763-773Research output: Contribution to journal › Article › peer-review
Open Access -
Inferring causal pathways between metabolic processes and liver fat accumulation: an IMI DIRECT study
Atabaki-Pasdar, N., Pomares-Millan, H., Koivula, R. W., Tura, A., Brown, A., Viñuela, A., Agudelo, L., Coral, D., van Oort, S., Allin, K., Chabanova, E., Cederberg, H., De Masi, F., Elders, P., Tajes, J. F., Forgie, I. M., Hansen, T. H., Heggie, A., Jones, A., Kokkola, T. & 30 others, , 2021, medRxiv, (medRxiv).Research output: Working paper/Preprint › Preprint (in preprint archive)
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Machine learning compared with rule-in/rule-out algorithms and logistic regression to predict acute myocardial infarction based on troponin T concentrations
Björkelund, A., Ohlsson, M., Lundager Forberg, J., Mokhtari, A., Olsson de Capretz, P., Ekelund, U. & Björk, J., 2021, In: Journal of the American college of emergency physicians open. 2, 2, e12363.Research output: Contribution to journal › Article › peer-review
Open Access
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Modelling of cloud-radiation feedbacks, lightning and climate change with AI.
Singh, S., Phillips, V. & Ohlsson, M.
2021/10/01 → …
Project: Dissertation
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Prediction of lymph node metastasis in primary breast cancer
Hjärtström, M., Ryden, L., Ohlsson, M., Dihge, L. & Staaf, J.
2021/09/01 → …
Project: Dissertation
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Resource Management in the Emergency Department by using Machine Learning
Tolestam Heyman, E., Khoshnood, A., Ekelund, U., Björk, J., Ohlsson, M. & Lingman, M.
2021/02/01 → …
Project: Dissertation
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PREPARE: Improved preparedness for future pandemics and other health crises through large-scale disease surveillance
Björk, J., Inghammar, M., Litins'ka, Y., Forsell, M., Ohlsson, M., Lingman, M., Wigren Byström, J., Almgren, M., Kahn, F., Rasmussen, M., Malmqvist, U., Mitchell, A., Neumann, A., Dietler, D., Bennet, L. & Bonander, C.
2021/01/01 → 2025/12/31
Project: Research
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eSSENCE@LU 7:6 - AI tools of Deep Learning to improve simulation of clouds and climate
2021/01/01 → 2022/12/31
Project: Research
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Improved triage, diagnosis and prognosis at the emergency department by using machine learning on big health care data
Jonas Björk (First/primary/lead supervisor), Ulf Ekelund (Joint second supervisor), Jakob Lundager Forberg (Joint second supervisor) & Mattias Ohlsson (Joint second supervisor)
2021 → …Activity: Examination and supervision › Supervision of PhD students
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Resource management in the emergency department by using machine learning
Ardavan Khoshnood (First/primary/lead supervisor), Ulf Ekelund (Second supervisor), Mattias Ohlsson (Joint second supervisor), Jonas Björk (Joint second supervisor) & Markus Lingman (Joint second supervisor)
2021 Feb 1 → …Activity: Examination and supervision › Supervision of PhD students
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Framtidsveckan. Vetenskapsvecka 12-18 okt Lunds universitet
Jonas Wisbrant (Host), Kalle Åström (Chair), Paul Franks (Invited speaker), Stefan Larsson (Contributor), Elena Pagnin (Invited speaker), Helena Linge (Invited speaker), Johan Linåker (Invited speaker), Jonas Ledendal (Invited speaker), Mattias Ohlsson (Invited speaker) & Johan Wester (Chair)
2020 Oct 12Activity: Participating in or organising an event › Participation in workshop/ seminar/ course
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Diagnosis and risk assessment in suspected acute coronary syndrome with decision support and artificial intelligence
Ulf Ekelund (First/primary/lead supervisor), Mattias Ohlsson (Supervisory team member), Arash Mokhtari (Supervisory team member) & Ardavan Khoshnood (Supervisory team member)
2019 → …Activity: Examination and supervision › Supervision of PhD students
Prizes and Distinction
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NCI-CPTAC Multi-omics Enabled Sample Mislabeling Correction Challenge
Ohlsson, Mattias (Recipient), Peterson, C. (Recipient), Edén, Patrik (Recipient), Linse, Björn (Recipient) & Carlsson, A. (Recipient), 2019 Feb 10
Prize: Prize (including medals and awards)