Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN. - Johan Isaksson; Ida Arvidsson; Kalle Åström; Anders Heyden (IJCNN, 2017)

Automatic Gleason grading of H and E stained microscopic prostate images using deep convolutional neural networks. - Anna Gummeson; Ida Arvidsson; Mattias Ohlsson; Niels Christian Overgaard; Agnieszka Krzyzanowska; Anders Heyden; Anders Bjartell; Kalle Åström (Digital Pathology, 2017)

Generalization of prostate cancer classification for multiple sites using deep learning. - Ida Arvidsson; Niels Christian Overgaard; Felicia-Elena Marginean; Agnieszka Krzyzanowska; Anders Bjartell; Kalle Åström; Anders Heyden (ISBI, 2018)

Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading. - Ida Arvidsson; Niels Christian Overgaard; Kalle Åström; Anders Heyden (ISBI, 2019)

Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN. - Kasper Tall; Ida Arvidsson; Niels Christian Overgaard; Kalle Åström; Anders Heyden (Digital Pathology, 2019)

Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks. - Ida Arvidsson; Niels Christian Overgaard; Kalle Åström; Anders Heyden; Miguel Ochoa Figueroa; Jeronimo Frias Rose; Anette Davidsson (ICPR, 2020)

Domain-adversarial neural network for improved generalization performance of Gleason grade classification. - Ida Arvidsson; Niels Christian Overgaard; Agnieszka Krzyzanowska; Felicia-Elena Marginean; Athanasios Simoulis; Anders Bjartell; Kalle Åström; Anders Heyden (Digital Pathology, 2020)

Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks. - Ida Arvidsson; Niels Christian Overgaard; Anette Davidsson; Jeronimo Frias Rose; Kalle Åström; Miguel Ochoa Figueroa; Anders Heyden (Computer-Aided Diagnosis, 2021)

Machine learning algorithm for classification of breast ultrasound images. - Jennie Karlsson; Jennifer Ramkull; Ida Arvidsson; Anders Heyden; Kalle Åström; Niels Christian Overgaard; Kristina Lång (Computer-Aided Diagnosis, 2022)

Classification of point-of-care ultrasound in breast imaging using deep learning. - Jennie Karlsson; Ida Arvidsson; Freja Sahlin; Kalle Åström; Niels Christian Overgaard; Kristina Lång; Anders Heyden (Computer-Aided Diagnosis, 2023)

Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies. - Filip Winzell; Ida Arvidsson; Niels Christian Overgaard; Kalle Åström; Felicia-Elena Marginean; Anders Bjartell; Agnieszka Krzyzanowska; Athanasios Simoulis; Anders Heyden (SCIA (2), 2023)

Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging. - Jennie Karlsson; Marisa Wodrich; Niels Christian Overgaard; Freja Sahlin; Kristina Lång; Anders Heyden; Ida Arvidsson (ICPR (13), 2024)

Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images. - Anna Gummeson; Gabrielle Flood; Kari Nielsen; Carolina Nätterdahl; Fredrik Johansson; Åsa Ingvar; Ida Arvidsson (SCIA (2), 2025)

Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer. - Daqu Zhang; Looket Dihge; Pär-Ola Bendahl; Ida Arvidsson; Magnus Dustler; Julia Ellbrant; Kim Gulis; Malin Hjärtström; Mattias Ohlsson; Cornelia Rejmer; David Schmidt; Sophia Zackrisson; et al. (npj Digit. Medicine, 2025)