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- 2023
-
Mark
Metabolic tumour volume in Hodgkin lymphoma—A comparison between manual and AI-based analysis
2023) In Clinical Physiology and Functional Imaging(
- Contribution to journal › Article
-
Mark
Optimizing Observation Plans for Identifying Faxon Fir (Abies fargesii var. Faxoniana) Using Monthly Unmanned Aerial Vehicle Imagery
(
- Contribution to journal › Article
-
Mark
Enhancing the Accuracy of CSI-Based Positioning in Massive MIMO Systems
2023) 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023 In 2023 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2023 p.90-95(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Classification of point-of-care ultrasound in breast imaging using deep learning
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Training Convolutional Neural Networks on Simulated Photoplethysmography Data : Application to Bradycardia and Tachycardia Detection
(
- Contribution to journal › Article
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Mark
Machine learning algorithm for classification of breast ultrasound images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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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
Computer Vision for Automated Traffic Safety Assessment : A Machine Learning Approach
2022)(
- Thesis › Doctoral thesis (compilation)
- 2021
-
Mark
Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
2021)(
- Thesis › Doctoral thesis (monograph)
- 2020
-
Mark
Automatic discovery of resource-restricted Convolutional Neural Network topologies for myoelectric pattern recognition
(
- 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
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Mark
MistNet : Measuring historical bird migration in the US using archived weather radar data and convolutional neural networks
(
- Contribution to journal › Article
- 2018
-
Mark
A projected gradient descent method for crf inference allowing end-to-end training of arbitrary pairwise potentials
2018) 11th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMVCPR 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10746 LNCS. p.564-579(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Robust abdominal organ segmentation using regional convolutional neural networks
(
- Contribution to journal › Article
- 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
Max-margin learning of deep structured models for semantic segmentation
2017) 20th Scandinavian Conference on Image Analysis, SCIA 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10270 LNCS. p.28-40(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Robust abdominal organ segmentation using regional convolutional neural networks
2017) 20th Scandinavian Conference on Image Analysis, SCIA 2017 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 10270 LNCS. p.41-52(
- 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