팔로우
Johan Fredin Haslum
Johan Fredin Haslum
PhD Student, Machine Learning, KTH - Royal Institute of Technology
kth.se의 이메일 확인됨
제목
인용
인용
연도
Is it time to replace cnns with transformers for medical images?
C Matsoukas, JF Haslum, M Söderberg, K Smith
arXiv preprint arXiv:2108.09038, 2021
1642021
What makes transfer learning work for medical images: Feature reuse & other factors
C Matsoukas, JF Haslum, M Sorkhei, M Söderberg, K Smith
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
772022
Adding seemingly uninformative labels helps in low data regimes
C Matsoukas, AB Hernandez, Y Liu, K Dembrower, G Miranda, E Konuk, ...
International Conference on Machine Learning, 6775-6784, 2020
162020
Pretrained ViTs yield versatile representations for medical images
C Matsoukas, JF Haslum, M Söderberg, K Smith
arXiv preprint arXiv:2303.07034, 2023
11*2023
Metadata-guided consistency learning for high content images
JF Haslum, C Matsoukas, KJ Leuchowius, E Müllers, K Smith
Medical Imaging with Deep Learning, 918-936, 2024
52024
Are Natural Domain Foundation Models Useful for Medical Image Classification?
JP Huix, AR Ganeshan, JF Haslum, M Söderberg, C Matsoukas, K Smith
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
52024
Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity
J Fredin Haslum, CH Lardeau, J Karlsson, R Turkki, KJ Leuchowius, ...
Nature Communications 15 (1), 3470, 2024
22024
Bridging generalization gaps in high content imaging through online self-supervised domain adaptation
JF Haslum, C Matsoukas, KJ Leuchowius, K Smith
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
Machine Learning Methods for Image-based Phenotypic Profiling in Early Drug Discovery
J Fredin Haslum
KTH Royal Institute of Technology, 2024
2024
현재 시스템이 작동되지 않습니다. 나중에 다시 시도해 주세요.
학술자료 1–9