Fredrik Strand

20 papers A* 1A 1C 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A new time-decay radiomics integrated network (TRINet) for breast cancer risk prediction. Medical Image Anal. Hong Hui Yeoh, Fredrik Strand, Raphael C.-W. Phan, Kartini Rahmat, Maxine Tan
2025	J	`jnl`	Learning What Helps: Task-Aligned Context Selection for Vision Tasks. CoRR Jingyu Guo, Emir Konuk, Fredrik Strand, Christos Matsoukas, Kevin Smith
2025	J	`jnl`	Mammography classification with multi-view deep learning techniques: Investigating graph and transformer-based architectures. Medical Image Anal. Francesco Manigrasso, Rosario Milazzo, Alessandro Sebastian Russo, Fabrizio Lamberti, Fredrik Strand, Andrea Pagnani, Lia Morra
2025	J	`jnl`	Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study. npj Digit. Medicine Haiko Schurz, Klara Solander, Davida Åström, Fernando Cossío, Taeyang Choi, Magnus Dustler, Claes Lundström, Håkan Gustafsson, Sophia Zackrisson, Fredrik Strand
2024	J	`jnl`	Artificial Intelligence-Informed Handheld Breast Ultrasound for Screening: A Systematic Review of Diagnostic Test Accuracy. CoRR Arianna Bunnell, Dustin Valdez, Fredrik Strand, Yannik Glaser, Peter Sadowski, John A. Shepherd
2024	J	`jnl`	MAMA-MIA: A Large-Scale Multi-Center Breast Cancer DCE-MRI Benchmark Dataset with Expert Segmentations. CoRR 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
2024	J	`jnl`	Random Token Fusion for Multi-View Medical Diagnosis. CoRR Jingyu Guo, Christos Matsoukas, Fredrik Strand, Kevin Smith
2023	A	`conf`	PatchDropout: Economizing Vision Transformers Using Patch Dropout. WACV Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
2023	J	`jnl`	RADIFUSION: A multi-radiomics deep learning based breast cancer risk prediction model using sequential mammographic images with image attention and bilateral asymmetry refinement. CoRR Hong Hui Yeoh, Andrea Liew, Raphael C.-W. Phan, Fredrik Strand, Kartini Rahmat, Tuong Linh Nguyen, John L. Hopper, Maxine Tan
2023	C	`conf`	Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. ICPRAM Jonathan Karlsson, Fredrik Strand, Josef Bigün, Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Felix Nilsson
2022	J	`jnl`	High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. CoRR Lidia Garrucho, Kaisar Kushibar, Richard Osuala, Oliver Díaz, Alessandro Catanese, Javier del Riego, Maciej Bobowicz, Fredrik Strand, Laura Igual, Karim Lekadir
2022	J	`jnl`	PatchDropout: Economizing Vision Transformers Using Patch Dropout. CoRR Yue Liu, Christos Matsoukas, Fredrik Strand, Hossein Azizpour, Kevin Smith
2022	J	`jnl`	Visual Detection of Personal Protective Equipment and Safety Gear on Industry Workers. CoRR Jonathan Karlsson, Fredrik Strand, Josef Bigün, Fernando Alonso-Fernandez, Kevin Hernandez-Diaz, Felix Nilsson
2021	—	`conf`	CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. NeurIPS Datasets and Benchmarks Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
2021	J	`jnl`	CSAW-M: An Ordinal Classification Dataset for Benchmarking Mammographic Masking of Cancer. CoRR Moein Sorkhei, Yue Liu, Hossein Azizpour, Edward Azavedo, Karin Dembrower, Dimitra Ntoula, Athanasios Zouzos, Fredrik Strand, Kevin Smith
2020	J	`jnl`	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 Karin Dembrower, Peter Lindholm, Fredrik Strand
2020	J	`jnl`	Adding Seemingly Uninformative Labels Helps in Low Data Regimes. CoRR 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
2020	A*	`conf`	Adding seemingly uninformative labels helps in low data regimes. ICML 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
2020	—	`conf`	Decoupling Inherent Risk and Early Cancer Signs in Image-Based Breast Cancer Risk Models. MICCAI (6) Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith
2020	J	`jnl`	Decoupling Inherent Risk and Early Cancer Signs in Image-based Breast Cancer Risk Models. CoRR Yue Liu, Hossein Azizpour, Fredrik Strand, Kevin Smith