Ida Arvidsson

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Ultrasound Imaging

Cancer Classification

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Digital Pathology

Publications

Jennie Karlsson, Marisa Wodrich, Niels Christian Overgaard, Freja Sahlin, Kristina Lång, Anders Heyden, Ida Arvidsson
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging. CoRR (2024)
Jennie Karlsson, Ida Arvidsson, Freja Sahlin, Kalle Åström, Niels Christian Overgaard, Kristina Lång, Anders Heyden
Classification of point-of-care ultrasound in breast imaging using deep learning. Medical Imaging: Computer-Aided Diagnosis (2023)
Filip Winzell, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Felicia-Elena Marginean, Anders Bjartell, Agnieszka Krzyzanowska, Athanasios Simoulis, Anders Heyden
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies. SCIA (2) (2023)
Jennie Karlsson, Jennifer Ramkull, Ida Arvidsson, Anders Heyden, Kalle Åström, Niels Christian Overgaard, Kristina Lång
Machine learning algorithm for classification of breast ultrasound images. Medical Imaging: Computer-Aided Diagnosis (2022)
Ida Arvidsson, Niels Christian Overgaard, Anette Davidsson, Jeronimo Frias Rose, Kalle Åström, Miguel Ochoa Figueroa, Anders Heyden
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks. Medical Imaging: Computer-Aided Diagnosis (2021)
Ida Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis, Anders Bjartell, Kalle Åström, Anders Heyden
Domain-adversarial neural network for improved generalization performance of Gleason grade classification. Medical Imaging: Digital Pathology (2020)
Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden, Miguel Ochoa Figueroa, Jeronimo Frias Rose, Anette Davidsson
Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks. ICPR (2020)
Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden
Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading. ISBI (2019)
Kasper Tall, Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN. Medical Imaging: Digital Pathology (2019)
Ida Arvidsson, Niels Christian Overgaard, Felicia-Elena Marginean, Agnieszka Krzyzanowska, Anders Bjartell, Kalle Åström, Anders Heyden
Generalization of prostate cancer classification for multiple sites using deep learning. ISBI (2018)
Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN. IJCNN (2017)
Anna Gummeson, Ida Arvidsson, Mattias Ohlsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Anders Heyden, Anders Bjartell, Kalle Åström
Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks. Medical Imaging: Digital Pathology (2017)