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2020 – today
- 2024
[i1]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 abs/2402.18960 (2024)- 2023
- [c11]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 - [c10]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: 293-308 - 2022
- [c9]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 - 2021
- [c8]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 - 2020
- [c7]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: 4442-4449 - [c6]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: 1132016
2010 – 2019
- 2019
- [c5]Ida Arvidsson, Niels Christian Overgaard, Kalle Åström, Anders Heyden:
Comparison of Different Augmentation Techniques for Improved Generalization Performance for Gleason Grading. ISBI 2019: 923-927 - [c4]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: 109560E - 2018
- [c3]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: 191-194 - 2017
- [c2]Johan Isaksson, Ida Arvidsson, Kalle Åström, Anders Heyden:
Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN. IJCNN 2017: 1252-1256 - [c1]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: 101400S
Coauthor Index
aka: Niels Christian Overgaard
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