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2024
Mark [Dataset]: An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines
Kazemi Rashed, Salma ^LU ; Arvidsson, Malou ; Ahmed, Rafsan ^LU and Aits, Sonja ^LU (2024)
- Non-textual form › Other
Mark Get the most out of ChatGPT and similar chatbots - a guide for scientists and professionals
Aits, Sonja ^LU (2024)
- Other contribution › Web publication
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 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
Mark Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
Collenteur, Raoul ; Haaf, Ezra ; Bakker, Mark ; Liesch, Tanja ; Wunsch, Andreas ; Soonthornrangsan, Jenny ; White, Jeremy ; Martin, Nick ; Hugman, Rui and de Sousa, Ed , et al. (2024) In Hydrology and Earth System Sciences 28(23). p.5193-5208
- Contribution to journal › Article
Mark Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
Zhang, Daqu ^LU ; Svensson, Miriam ^LU ; Edén, Patrik ^LU and Dihge, Looket ^LU (2024) In Scientific Reports 14.
- Contribution to journal › Article
Mark BioEncoder : A metric learning toolkit for comparative organismal biology
Lürig, Moritz D ^LU ; Di Martino, Emanuela and Porto, Arthur (2024) In Ecology Letters 27(8).
- Contribution to journal › Article
Mark DMEL: THE DIFFERENTIABLE LOG-MEL SPECTROGRAM AS A TRAINABLE LAYER IN NEURAL NETWORKS
Martinsson, John ^LU and Sandsten, Maria ^LU (2024) 49th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2024 In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings p.5005-5009
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Random effects during training : Implications for deep learning-based medical image segmentation
Åkesson, Julius ^LU ; Töger, Johannes ^LU and Heiberg, Einar ^LU (2024) In Computers in Biology and Medicine 180.
- Contribution to journal › Article
Mark Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity
Bourached, Anthony ; Bonkhoff, Anna K. ; Schirmer, Markus D. ; Regenhardt, Robert W. ; Bretzner, Martin ; Hong, Sungmin ; Dalca, Adrian V. ; Giese, Anne Katrin ; Winzeck, Stefan and Jern, Christina , et al. (2024) In Brain Communications 6(1).
- Contribution to journal › Article

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