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- 2024
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Mark
Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China
- Contribution to journal › Article
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Mark
Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
- Contribution to journal › Article
-
Mark
Machine Learning for Perception and Localization: Efficient and Invariant Methods
- Thesis › Doctoral thesis (compilation)
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Mark
An annotated high-content fluorescence microscopy dataset with 2 EGFP-Galectin-3-stained cells and manually labelled outlines
Kazemi Rashed, Salma LU ; Arvidsson, Malou ; Ahmed, Rafsan LU
and Aits, Sonja
LU
(2024)
- Working paper/Preprint › Preprint in preprint archive
-
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
Data-driven modeling of hydraulic head time series: results and lessons learned from the 2022 groundwater modeling challenge
- Contribution to journal › Article
-
Mark
Enhanced classification performance using deep learning based segmentation for pulmonary embolism detection in CT angiography
- Contribution to journal › Article
-
Mark
A deep learning approach to prediction of blood group antigens from genomic data
- Contribution to journal › Article
-
Mark
Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
- Contribution to journal › Article