Ida Arvidsson
- Mathematics (Faculty of Engineering)
- eSSENCE: The e-Science Collaboration
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Department of Automatic Control
- LTH Profile Area: AI and Digitalization
- LU Profile Area: Proactive Ageing
- Computer Vision and Machine Learning
- LU Profile Area: Natural and Artificial Cognition
1 – 10 of 17
- show: 10
- |
- sort: year (new to old)
Close
Embed this list
<iframe src=" "
width=" "
height=" "
allowtransparency="true"
frameborder="0">
</iframe>
- 2024
-
Mark
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance
(
- Contribution to journal › Article
-
Mark
Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases
(
- Contribution to journal › Article
-
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
- 2023
-
Mark
Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
(
- Contribution to journal › Article
-
Mark
Classification of point-of-care ultrasound in breast imaging using deep learning
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies
2023) 22nd Scandinavian Conference on Image Analysis, SCIA 2023 In Lecture Notes in Computer Science 13886. p.293-308(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2022
-
Mark
Machine learning algorithm for classification of breast ultrasound images
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
(
- 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
Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
2021)(
- Thesis › Doctoral thesis (monograph)