Research output per year
Research output per year
Personal profile
Primary fields of research
Medical image analysis for diagnosis of various diseases, notably discovering breat cancer at an early stadium.
Keywords
- Faculty of Science
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
Research output
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AI supported fetal echocardiography with quality assessment
Taksoee-Vester, C. A., Mikolaj, K., Bashir, Z., Christensen, A. N., Petersen, O. B., Sundberg, K., Feragen, A., Svendsen, M. B. S., Nielsen, M. & Tolsgaard, M. G., 2024, In: Scientific Reports. 14, 1, 9 p., 5809.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile15 Downloads (Pure) -
An assessment of the value of deep neura networks in genetic risk prediction for surgically relevant outcomes
Christensen, M. A., Sigurdsson, A., Bonde, A., Rasmussen, S., Ostrowski, S. R., Nielsen, M. & Sillesen, M., 2024, In: PLoS ONE. 19, 7, e0294368.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Downloads (Pure) -
Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis
Bojsen, J. A., Elhakim, M. T., Graumann, O., Gaist, D., Nielsen, M., Harbo, F. S. G., Krag, C. H., Sagar, M. V., Kruuse, C., Boesen, M. P. & Rasmussen, B. S. B., 2024, In: Insights into Imaging. 15, 1, 13 p., 160.Research output: Contribution to journal › Review › Research › peer-review
Open AccessFile3 Downloads (Pure) -
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data
Ghazi, M. M., Sørensen, L., Ourselin, S. & Nielsen, M., 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, p. 792-802Research output: Contribution to journal › Journal article › Research › peer-review
File16 Downloads (Pure) -
Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts
Mehdipour Ghazi, M., Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, M., 2024, In: Frontiers in Aging Neuroscience. 16, 1345417.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile6 Downloads (Pure) -
COVID-19-associated cerebral microbleeds in the general population
Sagar, M. V., Ferrer, N. R., Mehdipour Ghazi, M., Klein, K. V., Jimenez-Solem, E., Nielsen, M. & Kruuse, C., 2024, In: Brain Communications. 6, 3, fcae127.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile1 Citation (Scopus)6 Downloads (Pure) -
Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer
Lauritzen, A. D., Lillholm, M., Lynge, E., Nielsen, M., Karssemeijer, N. & Vejborg, I., 2024, In: Radiology. 311, 3, 9 p., e232479.Research output: Contribution to journal › Journal article › Research › peer-review
2 Citations (Scopus) -
Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification
Llambias, S. N., Nielsen, M. & Ghazi, M. M., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 138-144 (Proceedings of Machine Learning Research, Vol. 233).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile5 Downloads (Pure)