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- 2024
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Mark
ACCELERATED FORWARD-BACKWARD OPTIMIZATION USING DEEP LEARNING
(
- 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
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Mark
Training deep learning based dynamic MR image reconstruction using open-source natural videos
(
- Contribution to journal › Article
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Multiclass AI-Generated Deepfake Face Detection Using Patch-Wise Deep Learning Model
(
- Contribution to journal › Article
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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
DMEL: THE DIFFERENTIABLE LOG-MEL SPECTROGRAM AS A TRAINABLE LAYER IN NEURAL NETWORKS
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
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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
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
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
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
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
Basin-Scale Daily Drought Prediction Using Convolutional Neural Networks in Fenhe River Basin, China
(
- 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
(
- 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
Machine learning in cartography
(
- Contribution to journal › Debate/Note/Editorial
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Mark
BioEncoder : A metric learning toolkit for comparative organismal biology
(
- Contribution to journal › Article
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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
(
- Contribution to journal › Article
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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
- 2023
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Mark
Towards optimization of anomaly detection in DevOps
(
- Contribution to journal › Article
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Mark
A Disentangled VAE-BiLSTM Model for Heart Rate Anomaly Detection
(
- Contribution to journal › Article
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Mark
Assessment of projection interpolation to compensate for the increased radiation dose in DBTMI
2023) Medical Imaging 2023: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 12463.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Feature semantic alignment and information supplement for Text-based person search
(
- Contribution to journal › Article
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Mark
Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information
(
- Contribution to journal › Article
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Mark
Deep learning for rapid and reproducible histology scoring of lung injury in a porcine model
2023)(
- Working paper/Preprint › Preprint in preprint archive
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Mark
On the Utility of Representation Learning Algorithms for Myoelectric Interfacing
2023)(
- Thesis › Doctoral thesis (compilation)
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Mark
Mapping inundation extents in Poyang Lake area using Sentinel-1 data and transformer-based change detection method
(
- Contribution to journal › Article
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Mark
Automated quantification of PET/CT skeletal tumor burden in prostate cancer using artificial intelligence : The PET index
(
- Contribution to journal › Article
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Mark
Robust fusion for skin lesion segmentation of dermoscopic images
(
- Contribution to journal › Article
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Applications in Monocular Computer Vision using Geometry and Learning : Map Merging, 3D Reconstruction and Detection of Geometric Primitives
2023)(
- Thesis › Doctoral thesis (compilation)
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Mark
Roadmap on Deep Learning for Microscopy
2023) In arXiv.org(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Deep learning prediction models based on EHR trajectories : A systematic review
(
- Contribution to journal › Scientific review
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Mark
Deep learning volumetric brain segmentation based on spectral CT
2023) Medical Imaging 2023: Physics of Medical Imaging In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 12463.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning
2023) 33rd Medical Informatics Europe Conference: Caring is Sharing - Exploiting the Value in Data for Health and Innovation, MIE2023 In Studies in Health Technology and Informatics 302. p.609-610(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
High-quality annotations for deep learning enabled plaque analysis in SCAPIS cardiac computed tomography angiography
(
- Contribution to journal › Article
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Mark
Deep learning-based classification of organs at risk and delineation guideline in pelvic cancer radiation therapy
(
- Contribution to journal › Article
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Mark
Deep label fusion : A generalizable hybrid multi-atlas and deep convolutional neural network for medical image segmentation
(
- Contribution to journal › Article
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Mark
Deep Learning on Ultrasound Images Visualizes the Femoral Nerve with Good Precision
(
- Contribution to journal › Article
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Mark
Network Parameterisation and Activation Functions in Deep Learning
2023) In Doctoral Theses in Mathematical Sciences(
- Thesis › Doctoral thesis (compilation)
-
Mark
Reconstructing long-term global satellite-based soil moisture data using deep learning method
(
- Contribution to journal › Article
-
Mark
Reduced volume of diabetic pancreatic islets in rodents detected by synchrotron X-ray phase-contrast microtomography and deep learning network
(
- Contribution to journal › Article
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Mark
Machine learning for early prediction of acute myocardial infarction or death in acute chest pain patients using electrocardiogram and blood tests at presentation
(
- Contribution to journal › Article
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Mark
Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
(
- Contribution to journal › Article
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Mark
Investigating Ancient Agricultural Field Systems In Sweden From Airborne Lidar Data By Using Convolutional Neural Network
(
- Contribution to journal › Article
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Mark
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI
(
- Contribution to journal › Article
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Mark
M2D2 : Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities
(
- Contribution to journal › Article
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Mark
Radiological features of brain hemorrhage through automated segmentation from computed tomography in stroke and traumatic brain injury
(
- Contribution to journal › Article
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Mark
Breast cancer detection accuracy of AI in an entire screening population : a retrospective, multicentre study
(
- Contribution to journal › Article
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Mark
Effects of Value-Belief-Norm Theory, ESG, and AI on Space Tourist Behavior for Sustainability With Three Types of Space Tourism
2023) In Journal of Travel Research(
- Contribution to journal › Article
-
Mark
A Novel Predictor for the Analysis and Prediction of Enhancers and Their Strength via Multi-View Features and Deep Forest
(
- Contribution to journal › Article
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Mark
Predicting Perceptual Centers Located at Vowel Onset in German Speech Using Long Short-Term Memory Networks
2023) 24th International Speech Communication Association, Interspeech 2023 In Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023-August. p.1793-1797(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
MRI BrainAGE demonstrates increased brain aging in systemic lupus erythematosus patients
(
- Contribution to journal › Article
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Mark
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments
2023) In Methods of Information in Medicine(
- Contribution to journal › Article
-
Mark
Deep-learning image enhancement and fibre segmentation from time-resolved computed tomography of fibre-reinforced composites
(
- Contribution to journal › Article
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Mark
Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models
2023) In Nature Biotechnology(
- Contribution to journal › Article
-
Mark
A review of machine learning and satellite imagery for poverty prediction: Implications for development research and applications
(
- Contribution to journal › Scientific review
-
Mark
Chem2Side : A Deep Learning Model with Ensemble Augmentation (Conventional + Pix2Pix) for COVID-19 Drug Side-Effects Prediction from Chemical Images
(
- Contribution to journal › Article
- 2022
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Mark
Deep learning takes the pain out of back breaking work - Automatic vertebral segmentation and attenuation measurement for osteoporosis
(
- Contribution to journal › Article
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Mark
Traveler Biosecurity Behavior during the COVID-19 Pandemic : Effects of Intervention, Resilience, and Sustainable Development Goals
(
- Contribution to journal › Article
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Mark
Towards computational modelling of active response in cyclist falls from in-the-wild footage
(
- Contribution to conference › Paper, not in proceeding
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Mark
Data-Efficient Learning of Semantic Segmentation
(
- Thesis › Doctoral thesis (compilation)
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Mark
Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
2022)(
- Thesis › Doctoral thesis (compilation)
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Mark
Analysis of a deep learning-based method for generation of SPECT projections based on a large Monte Carlo simulated dataset
(
- Contribution to journal › Article
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Mark
Urban land use and land cover classification with interpretable machine learning – A case study using Sentinel-2 and auxiliary data
(
- Contribution to journal › Article
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Mark
Long-Short Term Memory Technique for Monthly Rainfall Prediction in Thale Sap Songkhla River Basin, Thailand
(
- Contribution to journal › Article
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Pelvic U-Net : multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network
(
- Contribution to journal › Article
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Mark
Applications of Diversity and the Self-Attention Mechanism in Neural Networks
(
- Thesis › Licentiate thesis
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Mark
Does active transport create a win-win situation for environmental and human health? The moderating effect of leisure and tourism activity
(
- Contribution to journal › Article
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Mark
Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians
(
- Contribution to journal › Article
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Mark
Polyp Segmentation of Colonoscopy Images by Exploring the Uncertain Areas
(
- Contribution to journal › Article
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Mark
Comparison of Two-Dimensional- and Three-Dimensional-Based U-Net Architectures for Brain Tissue Classification in One-Dimensional Brain CT
(
- Contribution to journal › Article
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Mark
Label Placement Challenges in City Wayfinding Map Production—Identification and Possible Solutions
(
- Contribution to journal › Article
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Mark
Reconstruction of stereoscopic CTA events using deep learning with CTLearn
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
ERA : Enhanced Rational Activations
2022) 17th European Conference on Computer Vision, ECCV 2022 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13680 LNCS. p.722-738(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Accurately Identifying Coronary Atherosclerotic Heart Disease through Merged Beats of Electrocardiogram
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A GIS-Based Landslide Susceptibility Mapping and Variable Importance Analysis Using Artificial Intelligent Training-Based Methods
(
- Contribution to journal › Article
- 2021
-
Mark
ICU prognostication: Time to re-evaluate? Register-based studies on improving prognostication for patients admitted to the intensive care unit (ICU)
2021) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
-
Mark
Deep learning for inverse problems in quantum mechanics
(
- Contribution to journal › Article
-
Mark
Considerations on Performance Evaluation of Atrial Fibrillation Detectors
(
- Contribution to journal › Article
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Mark
Learning regularized representations of categorically labelled surface EMG enables simultaneous and proportional myoelectric control
(
- Contribution to journal › Article
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Mark
FLoPAD-GRU : A Flexible, Low Power, Accelerated DSP for Gated Recurrent Unit Neural Network
2021) 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021 In Proceedings - 34th SBC/SBMicro/IEEE/ACM Symposium on Integrated Circuits and Systems Design, SBCCI 2021(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep learning-based classification and structure name standardization for organ at risk and target delineations in prostate cancer radiotherapy
(
- Contribution to journal › Article
-
Mark
A deeply supervised convolutional neural network ensemble for multilabel segmentation of pelvic OARs
2021) European Society Radiation Oncology 2021 In Radiotherapy and Oncology 161(Suppl 1). p.1417-1418(
- Contribution to journal › Published meeting abstract
-
Mark
Deep learning from MRI-derived labels enables automatic brain tissue classification on human brain CT
(
- Contribution to journal › Article
-
Mark
3D Human Pose and Shape Estimation Based on Parametric Model and Deep Learning
2021)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
2021)(
- Thesis › Doctoral thesis (monograph)
-
Mark
Simulation-based Inference : From Approximate Bayesian Computation and Particle Methods to Neural Density Estimation
(
- Thesis › Doctoral thesis (compilation)
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Mark
Volumetric modulated arc therapy dose prediction and deliverable treatment plan generation for prostate cancer patients using a densely connected deep learning model
(
- Contribution to journal › Article
-
Mark
Realeasy: Real-Time capable Simulation to Reality Domain Adaptation
2021) 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) p.2009-2016(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Non-attracting regions of local minima in deep and wide neural networks
(
- Contribution to journal › Article
-
Mark
Machine learning in the prediction of cancer therapy
(
- Contribution to journal › Scientific review
-
Mark
End-to-End Estimation of Hand- and Wrist Forces From Raw Intramuscular EMG Signals Using LSTM Networks
(
- Contribution to journal › Article
-
Mark
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
A side-channel attack on a masked IND-CCA secure saber KEM implementation
(
- Contribution to journal › Article
-
Mark
Reinforcement Learning for Active Visual Perception
2021)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Application of Artificial Intelligence for the Optimization of Hydropower Energy Generation
(
- Contribution to journal › Article
-
Mark
Heart rate modeling and prediction using autoregressive models and deep learning
(
- Contribution to journal › Article
-
Mark
Accurate Indoor Positioning Based on Learned Absolute and Relative Models
2021) 2021 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2021(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep learning reconstruction of digital breast tomosynthesis images for accurate breast density and patient-specific radiation dose estimation
(
- Contribution to journal › Article
- 2020
-
Mark
Crystal centering using deep learning in X-ray crystallography
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Performance improvement of automated melanoma diagnosis system by data augmentation
(
- Contribution to journal › Article
-
Mark
Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
(
- Contribution to journal › Article
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Mark
RECOMIA—a cloud-based platform for artificial intelligence research in nuclear medicine and radiology
(
- Contribution to journal › Article
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Mark
Automatic diagnosis of melanoma using hyperspectral data and GoogLeNet
(
- Contribution to journal › Article
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Mark
A deep learning pipeline for identification of motor units in musculoskeletal ultrasound
(
- Contribution to journal › Article
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Mark
Artificial intelligence together with mechanical imaging in mammography
2020) 15th International Workshop on Breast Imaging, IWBI 2020 In Proceedings of SPIE - The International Society for Optical Engineering 11513.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
The effect of breast density on the performance of deep learning-based breast cancer detection methods for mammography
2020) 15th International Workshop on Breast Imaging, IWBI 2020 In Proceedings of SPIE - The International Society for Optical Engineering 11513.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
(
- Contribution to journal › Article
- 2019
-
Mark
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study
(
- Contribution to journal › Article
-
Mark
Statistical inference and time-frequency estimation for non-stationary signal classification
(
- Thesis › Doctoral thesis (compilation)
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Mark
Catastrophic child's play : Easy to perform, hard to defend adversarial attacks
2019) 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019 In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2019-June. p.9221-9229(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Establishing strong imputation performance of a denoising autoencoder in a wide range of missing data problems
(
- Contribution to journal › Article
-
Mark
Comparison of different augmentation techniques for improved generalization performance for gleason grading
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
PTPD : Predicting therapeutic peptides by deep learning and word2vec
(
- Contribution to journal › Article
-
Mark
Statistical inference with deep latent variable models
2019)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Spatio-temporal patterns of traffic-related air pollutant emissions in different urban functional zones estimated by real-time video and deep learning technique
(
- Contribution to journal › Article
-
Mark
MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
(
- Contribution to journal › Article
-
Mark
Application of Bioactivity Profile-Based Fingerprints for Building Machine Learning Models
(
- Contribution to journal › Article
- 2018
-
Mark
Including pervasive web content in evidence-based software engineering : A case study
2018) 24th Asia-Pacific Software Engineering Conference Workshops, APSECW 2017 2018-January. p.55-62(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Deep Learning Applications for Biomedical Data and Natural Language Processing
2018)(
- Thesis › Doctoral thesis (compilation)
- 2017
-
Mark
Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Algorithms and Proofs of Concept for Massive MIMO Systems
2017)(
- Thesis › Doctoral thesis (compilation)
-
Mark
Integrating the methods of project-based learning and role-playing to promote deep approach of learning : Programming languages
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2016
-
Mark
Towards Grading Gleason Score using Generically Trained Deep convolutional Neural Networks
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding