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2025
Mark A spectroscopy-based machine learning framework on photoacoustic imaging data for automatic 3D delineation of melanoma tumors
Merdasa, Aboma ^LU ; Fracchia, Alice ; Stridh, Magne ^LU ; Hult, Jenny ^LU ; Andersson, Emil ^LU ; Edén, Patrik ^LU ; Olariu, Victor ^LU and Malmsjö, Malin ^LU (2025) Photons Plus Ultrasound: Imaging and Sensing 2025 In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 13319.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Late-Onset Asthma Phenotypes by Onset Age : A Cluster Analysis in Swedish Population-Based Cohorts
Lisik, Daniil ; Backman, Helena ; Basna, Rani ^LU ; Hedman, Linnea ; Bashir, Muwada Bashir Awad ; Ercan, Selin ; Abohalaka, Reshed ; Ermis, Saliha Selin Özuygur ; Ekerljung, Linda and Stridsman, Caroline , et al. (2025) In Allergy: European Journal of Allergy and Clinical Immunology 80(12). p.3447-3451
- Contribution to journal › Letter
2024
Mark ACCELERATED FORWARD-BACKWARD OPTIMIZATION USING DEEP LEARNING
Banert, Sebastian ^LU ; Rudzusika, Jevgenija ; Öktem, Ozan and Adler, Jonas (2024) In SIAM Journal on Optimization 34(2). p.1236-1263
- Contribution to journal › Article
Mark M2SKD : Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems
Baghersalimi, Saleh ; Amirshahi, Alireza ; Forooghifar, Farnaz ; Teijeiro, Tomas ; Aminifar, Amir ^LU and Atienza, David (2024) In ACM Transactions on Intelligent Systems and Technology 15(5).
- Contribution to journal › Article
Mark Bicycle and rider pose estimation from multi-camera video footage
Gildea, Kevin ^LU ; Hjort, Mattias ; Kharrazi, Sogol ; D'Agostino, Carmelo ^LU and Laureshyn, Aliaksei ^LU (2024) 12th International Cycling Safety Conference, ICSC 2024
- Contribution to conference › Paper, not in proceeding
Mark Making Space for Learning
Houmann, Anna ^LU and Andersson, Lars ^LU (2024) In Great debates in higher education p.141-158
- Chapter in Book/Report/Conference proceeding › Book chapter
Mark The analytical and clinical validity of AI algorithms to score TILs in TNBC : can we use different machine learning models interchangeably?
Vidal, Joan Martínez ; Tsiknakis, Nikos ; Staaf, Johan ^LU ; Bosch, Ana ^LU ; Ehinger, Anna ^LU ; Nimeus, Emma ^LU ; Salgado, Roberto ; Bai, Yalai ; Rimm, David L. and Hartman, Johan , et al. (2024) In EClinicalMedicine 78.
- Contribution to journal › Article
Mark Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning
Tong, Yizhi ; Arimura, Hidetaka ; Yoshitake, Tadamasa ; Cui, Yunhao ; Kodama, Takumi ; Shioyama, Yoshiyuki ; Wirestam, Ronnie ^LU and Yabuuchi, Hidetake (2024) In Applied Sciences (Switzerland) 14(8).
- Contribution to journal › Article
Mark Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography
Kahraman, Ali Teymur ; Fröding, Tomas ; Toumpanakis, Dimitris ; Gustafsson, Christian Jamtheim ^LU and Sjöblom, Tobias (2024) In Heliyon 10(19).
- Contribution to journal › Article
Mark A deep learning approach to prediction of blood group antigens from genomic data
Moslemi, Camous ; Sækmose, Susanne ; Larsen, Rune ; Brodersen, Thorsten ; Bay, Jakob T. ; Didriksen, Maria ; Nielsen, Kaspar R. ; Bruun, Mie T. ; Dowsett, Joseph and Dinh, Khoa M. , et al. (2024) In Transfusion 64(11). p.2179-2195
- Contribution to journal › Article

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