1 – 36 of 36
- show: 100
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Methods to Automatically Transform MR Images of the Brain into the AC-PC Coordinate System
(
- Master (Two yrs)
-
Mark
Investigating Object Detection and Semantic Segmentation Using Preprocessed Radar Data
(
- Master (Two yrs)
-
Mark
Long-Wave Infrared Polarimetry for License Plate Recognition
(
- Master (Two yrs)
- 2023
-
Mark
Generation of Synthetic White Blood Cell Images Using Denoising Diffusion
(
- Master (Two yrs)
-
Mark
Contactless palm print recognition: Novel design and palm openness classification
(
- Master (Two yrs)
-
Mark
Deep Learning Based Out-of-focus Detection on Surveillance Footage
(
- Master (Two yrs)
-
Mark
Particle Detection in Bone Marrow Using CNNs and Transformer Networks
(
- Master (Two yrs)
-
Mark
Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders
(
- Master (One yr)
-
Mark
Visualization of tagged items in a point cloud
(
- Master (Two yrs)
- 2022
-
Mark
Segmentation, Classification and Tracking of Objects in LiDAR Point Cloud Data Using Deep Learning
(
- Master (Two yrs)
-
Mark
Automating Water Orientation in Neutron Crystallography using Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Gene Expression Guided Distance Metric Learning for Breast Cancer Whole Slide Image Analysis
(
- Master (Two yrs)
-
Mark
Detecting red blood cells and platelets in blood smears using a single multi-class object detector
(
- Master (Two yrs)
-
Mark
Examination of AI-based ESG-scores as a valid source of alpha in the Swedish investing landscape
(
- Master (Two yrs)
-
Mark
Exploring improvements of wind power forecasts using Convolutional Neural Networks and Time Series Analysis
(
- Master (Two yrs)
-
Mark
Improving a Background Model for Tracking and Classification of Objects in LiDAR 3D Point Clouds
(
- Master (Two yrs)
- 2021
-
Mark
Detecting Nucleated Cells in Bone Marrow Smears using Deep Learning
(
- Master (Two yrs)
-
Mark
Non-Rigid Volume Registration For DCE-MRI Using Deep Learning
(
- Master (Two yrs)
-
Mark
Self-supervised monocular depth estimation for dynamic scenes
(
- Master (Two yrs)
- 2020
-
Mark
Blood Cell Data Augmentation using Deep Learning Methods
(
- Master (Two yrs)
-
Mark
Semantic and Instance Segmentation of Radar Point Clouds using Deep Learning
(
- Master (Two yrs)
- 2019
-
Mark
Classification of High Risk Prostate Cancer using Deep Learning
(
- Master (Two yrs)
- 2018
-
Mark
Artificial Neural Networks for Enhanced Exoskeleton Grip Movement
(
- Master (Two yrs)
-
Mark
Motion Event Recognition Using User Feedback
(
- Master (Two yrs)
-
Mark
Adherent Raindrop Detection
(
- Master (Two yrs)
-
Mark
An investigation of Recent Deep Learning Techniques Applied to Blood Cell Image Analysis
(
- Master (Two yrs)
-
Mark
Automatic Gleason Classification of Prostate Cancer - Classification of Small Regions
(
- Master (Two yrs)
-
Mark
Inflated Multinomial Matching for Anchor-Free Object Detection
(
- Master (Two yrs)
- 2017
-
Mark
Visual navigation and control of a mobile robot
(
- Master (Two yrs)
-
Mark
Deep Learning Methods for Streaming Image Reconstruction in Fixed-camera Settings
(
- Master (Two yrs)
-
Mark
Rotational Invariant Convolutional Neural Networks for Prostate Cancer Classification
(
- Master (Two yrs)
-
Mark
Feature Selection Methods with Applications in Electrical Load Forecasting
(
- Master (Two yrs)
- 2016
-
Mark
Efficient and robust map building from a downward looking camera with loop closing
(
- Master (Two yrs)
-
Mark
Recognizing Microscopic Structures: Dense Semantic Segmentation of Multiple Histopathological Classes using Fully Convolutional Neural Networks
(
- Master (Two yrs)
-
Mark
Forecasting Campaign Sales Using Artificial Neural Networks
(
- Master (Two yrs)
- 2015
-
Mark
Analysis of Optical Flow Algorithms for Denoising
(
- Master (Two yrs)