Articles with public access mandates - Gabriel EilertsenLearn more
Not available anywhere: 1
Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation
M Pocevičiūtė, G Eilertsen, C Lundström
Medical Imaging 2023: Digital and Computational Pathology 12471, 216-223, 2023
Mandates: Knut and Alice Wallenberg Foundation, Vinnova, Sweden
Available somewhere: 17
HDR image reconstruction from a single exposure using deep CNNs
G Eilertsen, J Kronander, G Denes, RK Mantiuk, J Unger
ACM transactions on graphics (TOG) 36 (6), 1-15, 2017
Mandates: Swedish Research Council
A comparative review of tone-mapping algorithms for high dynamic range video
G Eilertsen, RK Mantiuk, J Unger
Computer Graphics Forum (Proceedings of Eurographics 2017) 36 (2), 2017
Mandates: Swedish Research Council
Real-time noise-aware tone mapping
G Eilertsen, RK Mantiuk, J Unger
ACM Transactions on Graphics (TOG) 34 (6), 2015
Mandates: Swedish Research Council, European Commission
A survey of image synthesis methods for visual machine learning
A Tsirikoglou, G Eilertsen, J Unger
Computer graphics forum 39 (6), 426-451, 2020
Mandates: Knut and Alice Wallenberg Foundation
Single-frame regularization for temporally stable cnns
G Eilertsen, RK Mantiuk, J Unger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Mandates: European Commission
Comparison of single image HDR reconstruction methods—the caveats of quality assessment
P Hanji, R Mantiuk, G Eilertsen, S Hajisharif, J Unger
ACM SIGGRAPH 2022 conference proceedings, 1-8, 2022
Mandates: European Commission
Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology
M Pocevičiūtė, G Eilertsen, S Jarkman, C Lundström
Scientific Reports 12 (1), 8329, 2022
Mandates: Vinnova, Sweden
How to cheat with metrics in single-image HDR reconstruction
G Eilertsen, S Hajisharif, P Hanji, A Tsirikoglou, RK Mantiuk, J Unger
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
Mandates: Knut and Alice Wallenberg Foundation, European Commission
Unsupervised anomaly detection in digital pathology using GANs
M Pocevičiūtė, G Eilertsen, C Lundström
2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 1878-1882, 2021
Mandates: Vinnova, Sweden
A high dynamic range video codec optimized by large-scale testing
G Eilertsen, RK Mantiuk, J Unger
IEEE International Conference on Image Processing (ICIP), 1379-1383, 2016
Mandates: Swedish Research Council, European Commission
Primary tumor and inter-organ augmentations for supervised lymph node colon adenocarcinoma metastasis detection
A Tsirikoglou, K Stacke, G Eilertsen, J Unger
International Conference on Medical Image Computing and Computer-Assisted …, 2021
Mandates: Knut and Alice Wallenberg Foundation, Vinnova, Sweden
BriefMatch: Dense binary feature matching for real-time optical flow estimation
G Eilertsen, PE Forssén, J Unger
Scandinavian Conference on Image Analysis (SCIA17), 2017
Mandates: Swedish Research Council
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance
M Pocevičiūtė, G Eilertsen, S Garvin, C Lundström
International Conference on Medical Image Computing and Computer-Assisted …, 2023
Mandates: Knut and Alice Wallenberg Foundation, Vinnova, Sweden
Generative inter-class transformations for imbalanced data weather classification
A Tsirikoglou, M Gladh, D Sahlin, G Eilertsen, J Unger
London Imaging Meeting 2, 16-20, 2021
Mandates: Knut and Alice Wallenberg Foundation, Vinnova, Sweden
Real-time noise-aware tone-mapping and its use in luminance retargeting
G Eilertsen, RK Mantiuk, J Unger
IEEE International Conference on Image Processing (ICIP), 894-898, 2016
Mandates: Swedish Research Council, European Commission
Benefits of spatial uncertainty aggregation for segmentation in digital pathology
M Pocevičiūtė, G Eilertsen, C Lundström
Journal of Medical Imaging 11 (1), 017501-017501, 2024
Mandates: Knut and Alice Wallenberg Foundation, Vinnova, Sweden
CDF-Based Importance Sampling and Visualization for Neural Network Training
A Knutsson, J Unnebäck, D Jönsson, E Gabriel
VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine, 2023
Mandates: Knut and Alice Wallenberg Foundation
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