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J. Lu
J. Lu
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CoMIR: Contrastive multimodal image representation for registration
N Pielawski, E Wetzer, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje
Advances in neural information processing systems 33, 18433-18444, 2020
662020
A deep learning based pipeline for efficient oral cancer screening on whole slide images
J Lu, N Sladoje, C Runow Stark, E Darai Ramqvist, JM Hirsch, J Lindblad
International Conference on Image Analysis and Recognition, 249-261, 2020
362020
Is image-to-image translation the panacea for multimodal image registration? A comparative study
J Lu, J Öfverstedt, J Lindblad, N Sladoje
Plos one 17 (11), e0276196, 2022
142022
Is image-to-image translation the panacea for multimodal image registration
J Lu, J Öfverstedt, J Lindblad, N Sladoje
A comparative study, 2021
72021
Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis
J Lu, C Yin, O Krause, K Erleben, MB Nielsen, S Darkner
International Workshop on Interpretability of Machine Intelligence in …, 2022
22022
Sliding at First-Order: Higher-Order Momentum Distributions for Discontinuous Image Registration
L Bao, J Lu, S Ying, S Sommer
SIAM Journal on Imaging Sciences 17 (2), 861-887, 2024
2024
cRedAnno+: Annotation Exploitation In Self-Explanatory Lung Nodule Diagnosis
J Lu, C Yin, K Erleben, MB Nielsen, S Darkner
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023
2023
Rotationally Equivariant Representation Learning for Multimodal Images
E Wetzer, N Pielawski, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje
Swedish Symposium on Image Analysis, 2022
2022
Image-to-Image Translation in Multimodal Image Registration: How Well Does It Work?
J Lu, J Öfverstedt, J Lindblad, N Sladoje
COMULIS Conference, 2021
2021
Contrastive Learning for Equivariant Multimodal Image Representations
E Wetzer, N Pielawski, E Breznik, J Öfverstedt, J Lu, C Wählby, J Lindblad, ...
" The Power of Women in Deep Learning" Workshop at the" Mathematics of deep …, 2021
2021
Registration of Multimodal Microscopy Images using CoMIR–learned structural image representations
E Wetzer, N Pielawski, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje
COMULIS Conference, 2021
2021
Comir: Contrastive multimodal image representation for registration
E Wetzer, N Pielawski, J Öfverstedt, J Lu, C Wählby, J Lindblad, N Sladoje
German Conference on Pattern Recognition, 2021
2021
Estimating Uncertainty of Deep Learning Models
M Sagen, J Lu, J Li
2020
Estimating Certainty in Deep Learning
J Lu, J Li
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Articles 1–14