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2024
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 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 Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer
Sharma, Abhinav ; Weitz, Philippe ; Wang, Yinxi ; Liu, Bojing ; Vallon-Christersson, Johan ^LU ; Hartman, Johan and Rantalainen, Mattias (2024) In Breast Cancer Research 26(1).
- Contribution to journal › Article
Mark Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China
Chen, Zixuan ; Wang, Guojie ; Wei, Xikun ; Liu, Yi ; Duan, Zheng ^LU ; Hu, Yifan and Jiang, Huiyan (2024) In Atmosphere 15(2).
- Contribution to journal › Article
Mark Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
Arvidsson, Ida ^LU ; Strandberg, Olof ^LU ; Palmqvist, Sebastian ^LU ; Stomrud, Erik ^LU ; Cullen, Nicholas ^LU ; Janelidze, Shorena ^LU ; Tideman, Pontus ^LU ; Heyden, Anders ^LU ; Åström, Karl ^LU and Hansson, Oskar ^LU , et al. (2024) In Alzheimer's Research and Therapy 16(1).
- Contribution to journal › Article
Mark Novel radiological approaches for diagnosis and treatment of diseases in the pelvic region. Applications in the uterus and the prostate.
Bengtsson, Johan ^LU (2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
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 Machine learning in cartography
Harrie, Lars ^LU ; Touya, Guillaume ; Oucheikh, Rachid ^LU ; Ai, Tinghua ; Courtial, Azelle and Richter, Kai Florian (2024) In Cartography and Geographic Information Science 51(1). p.1-19
- Contribution to journal › Debate/Note/Editorial
Mark A feasibility study of applying generative deep learning models for map labeling
Oucheikh, Rachid ^LU and Harrie, Lars ^LU (2024) In Cartography and Geographic Information Science 51(1). p.168-191
- Contribution to journal › Article
Mark Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
Moosavi, Vahid ; Mostafaei, Sahar and Berndtsson, Ronny ^LU (2024) In Applied Soft Computing 155.
- Contribution to journal › Article

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