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Fredrik Strand
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2020 – today
- 2025
- [j2]Francesco Manigrasso
, Rosario Milazzo, Alessandro Sebastian Russo, Fabrizio Lamberti
Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures. Medical Image Anal. 99: 103320 (2025) - 2024
- [i9]Lidia Garrucho, Claire-Anne Reidel, Kaisar Kushibar, Smriti Joshi, Richard Osuala, Apostolia Tsirikoglou, Maciej Bobowicz, Javier del Riego, Alessandro Catanese, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Ritse Mann, Carlos Martín-Isla, Fred W. Prior, Kostas Marias, Martijn P. A. Starmans, Fredrik Strand, Oliver Díaz, Laura Igual, Karim Lekadir:
MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR abs/2406.13844 (2024) - [i8]Jingyu Guo, Christos Matsoukas, Fredrik Strand, Kevin Smith:
Random Token Fusion for Multi-View Medical Diagnosis. CoRR abs/2410.15847 (2024) - 2023
- [c5]Jonathan Karlsson, Fredrik Strand, Josef Bigün
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. ICPRAM 2023: 395-402 - [c4]Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV 2023: 3942-3951 - [i7]Hong Hui Yeoh, Andrea Liew, Raphael C.-W. Phan, Fredrik Strand, Kartini Rahmat, Tuong Linh Nguyen, John L. Hopper, Maxine Tan:
RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement. CoRR abs/2304.00257 (2023) - 2022
- [i6]Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith:
PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR abs/2208.07220 (2022) - [i5]Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese
High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR abs/2209.09809 (2022) - [i4]Jonathan Karlsson, Fredrik Strand, Josef Bigün
Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. CoRR abs/2212.04794 (2022) - 2021
- [c3]Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith:
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. NeurIPS Datasets and Benchmarks 2021 - [i3]Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith:
CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. CoRR abs/2112.01330 (2021) - 2020
- [j1]Karin Dembrower
A Multi-million Mammography Image Dataset and Population-Based Screening Cohort for the Training and Evaluation of Deep Neural Networks - the Cohort of Screen-Aged Women (CSAW). J. Digit. Imaging 33(2): 408-413 (2020) - [c2]Christos Matsoukas, Albert Bou I Hernandez, Yue Liu, Karin Dembrower, Gisele Miranda, Emir Konuk, Johan Fredin Haslum, Athanasios Zouzos, Peter Lindholm, Fredrik Strand, Kevin Smith:
Adding seemingly uninformative labels helps in low data regimes. ICML 2020: 6775-6784 - [c1]Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith:
Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. MICCAI (6) 2020: 230-240 - [i2]Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith:
Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. CoRR abs/2007.05791 (2020) - [i1]Christos Matsoukas
Adding Seemingly Uninformative Labels Helps in Low Data Regimes. CoRR abs/2008.00807 (2020)
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