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- 2024
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Mark
Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning
(
- Contribution to journal › Article
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Mark
ACCELERATED FORWARD-BACKWARD OPTIMIZATION USING DEEP LEARNING
(
- Contribution to journal › Article
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Mark
Advancing X-ray imaging with deep learning : Physics-inspired reconstruction approaches
2024)(
- Thesis › Doctoral thesis (compilation)
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Mark
Novel radiological approaches for diagnosis and treatment of diseases in the pelvic region. Applications in the uterus and the prostate.
2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model
(
- Contribution to journal › Article
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Mark
Machine learning in cartography
(
- Contribution to journal › Debate/Note/Editorial
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Mark
Temporal cluster-based local deep learning or signal processing-temporal convolutional transformer for daily runoff prediction?
(
- Contribution to journal › Article
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Mark
A 16 × 16 Patch-Based Deep Learning Model for the Early Prognosis of Monkeypox from Skin Color Images
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- Contribution to journal › Article
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Mark
Forward dynamics computational modelling of a cyclist fall with the inclusion of protective response using deep learning-based human pose estimation
(
- Contribution to journal › Article
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Mark
Scaling behaviours of deep learning and linear algorithms for the prediction of stroke severity
(
- Contribution to journal › Article
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Mark
Development and prognostic validation of a three-level NHG-like deep learning-based model for histological grading of breast cancer
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- Contribution to journal › Article
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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
(
- Contribution to journal › Article
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Mark
CT-based volumetric measures obtained through deep learning : Association with biomarkers of neurodegeneration
(
- Contribution to journal › Article
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Mark
Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems
(
- Contribution to journal › Article
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Mark
A feasibility study of applying generative deep learning models for map labeling
2024) In Cartography and Geographic Information Science(
- Contribution to journal › Article
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Mark
Space tourism : Value-attitude-behavior theory, artificial intelligence, and sustainability
(
- Contribution to journal › Article
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Mark
A Simple End-to-End Computer-Aided Detection Pipeline for Trained Deep Learning Models
2024) 8th International Conference on Engineering of Computer-Based Systems, ECBS 2023 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14390 LNCS. p.259-262(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
BioEncoder : A metric learning toolkit for comparative organismal biology
(
- Contribution to journal › Article
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Mark
Random effects during training : Implications for deep learning-based medical image segmentation
(
- Contribution to journal › Article
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Mark
RawECGNet : Deep Learning Generalization for Atrial Fibrillation Detection From the Raw ECG
(
- Contribution to journal › Article