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Title: SFI Visual Intelligence · GitHub

Open Graph Title: SFI Visual Intelligence

X Title: SFI Visual Intelligence

Description: Visual Intelligence aims to be the lead provider of novel deep learning-based solutions for cutting-edge complex image analysis. - SFI Visual Intelligence

Open Graph Description: Visual Intelligence aims to be the lead provider of novel deep learning-based solutions for cutting-edge complex image analysis. - SFI Visual Intelligence

X Description: Visual Intelligence aims to be the lead provider of novel deep learning-based solutions for cutting-edge complex image analysis. - SFI Visual Intelligence

Mail addresses
visual-intelligence@uit.no

Opengraph URL: https://github.com/SFI-Visual-Intelligence

X: @github

direct link

Domain: github.com

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Overviewhttps://github.com/SFI-Visual-Intelligence
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Visual Intelligencehttps://www.visual-intelligence.no/
https://github.com/SFI-Visual-Intelligence#overview-
📉 Limited training datahttps://github.com/SFI-Visual-Intelligence#limited-training-data
🧩 Context and dependencieshttps://github.com/SFI-Visual-Intelligence#context-and-dependencies
📊 Confidence and uncertaintyhttps://github.com/SFI-Visual-Intelligence#confidence-and-uncertainty
🔍 Explainability and reliabilityhttps://github.com/SFI-Visual-Intelligence#explainability-and-reliability
🩺 Medicine and healthhttps://github.com/SFI-Visual-Intelligence#medicine-and-health
🌊 Marine sciencehttps://github.com/SFI-Visual-Intelligence#marine-science
⚡ Energyhttps://github.com/SFI-Visual-Intelligence#energy
🛰️ Earth observationhttps://github.com/SFI-Visual-Intelligence#earth-observation
https://github.com/SFI-Visual-Intelligence#collaborative-work-
https://github.com/SFI-Visual-Intelligence#icenet-
Visual Intelligencehttps://www.visual-intelligence.no/
The Alan Turing Institutehttps://www.turing.ac.uk/
British Antarctic Surveyhttps://www.bas.ac.uk/
University of Cambridgehttps://www.cam.ac.uk/
IceNet websitehttps://icenet.ai/
https://github.com/SFI-Visual-Intelligence#get-in-touch-️
Discussionhttps://github.com/orgs/SFI-Visual-Intelligence/discussions
https://github.com/SFI-Visual-Intelligence#featured-repositories-
Reconsidering Explicit Longitudinal Mammography Alignment for Enhanced Breast Cancer Risk Predictionhttps://github.com/SFI-Visual-Intelligence/Longitudinal_Mammogram_Alignment.git
RELAX: Representation Learning Explainabilityhttps://github.com/SFI-Visual-Intelligence/RELAX
The Fossil Frontier: An answer to the 3-billion fossil questionhttps://github.com/SFI-Visual-Intelligence/scampi-benchmark
https://github.com/SFI-Visual-Intelligence#publications-index-
https://github.com/SFI-Visual-Intelligence#innovation-areas-
paperhttps://proceedings.mlr.press/v307/utseth26a.html
paperhttps://openreview.net/forum?id=91igqpzV9M¬eId=91igqpzV9M
Codehttps://github.com/SFI-Visual-Intelligence/EchoVLMLandmarks
paperhttps://doi.org/10.1016/j.compbiomed.2025.111326
paperhttps://doi.org/10.1007/978-3-031-95918-9_20
paperhttps://doi.org/10.1016/j.jpi.2025.100437
Codehttps://github.com/SFI-Visual-Intelligence/hovernet-pipeline
paperhttps://doi.org/10.1007/978-3-031-98691-8_19
paperhttps://doi.org/10.1109/TBME.2024.3440838
paperhttps://doi.org/10.1007/978-3-032-04937-7_47
Codehttps://github.com/SFI-Visual-Intelligence/Longitudinal_Mammogram_Alignment.git
paperhttps://doi.org/10.1007/978-3-032-04947-6_62
Codehttps://github.com/SFI-Visual-Intelligence/TPM-FSS
paperhttps://doi.org/10.1007/978-3-032-05182-0_64
Codehttps://github.com/SFI-Visual-Intelligence/VMRA-MaR.git
paperhttps://doi.org/10.1007/978-3-032-06329-8_21
paperhttps://doi.org/10.1016/j.asoc.2024.111855
paperhttps://hdl.handle.net/10037/36483
Codehttps://github.com/SFI-Visual-Intelligence/SFL/
paperhttps://doi.org/10.1109/TNNLS.2024.3449419
paperhttps://doi.org/10.1038/s41598-024-68800-1
Codehttps://github.com/SFI-Visual-Intelligence/CrossModal_ImgRetrieval
paperhttps://doi.org/10.3389/fnume.2024.1372379
paperhttps://doi.org/10.1016/j.compmedimag.2023.102239
Codehttps://github.com/SFI-Visual-Intelligence/clinical-self-supervised-CBIR-ct-liver.git
paperhttps://doi.org/10.5617/nmi.10459
paperhttps://doi.org/10.1016/j.media.2023.102870
paperhttps://doi.org/10.1109/ICCV51070.2023.00803
Codehttps://github.com/SFI-Visual-Intelligence/CoordFormer
paperhttps://doi.org/10.1109/TMI.2022.3231017
paperhttps://doi.org/10.1109/ACCESS.2023.3292212
paperhttps://doi.org/10.1109/ISBI53787.2023.10230655
Codehttps://github.com/SFI-Visual-Intelligence/ADNet-for-AIS-segmentation
paperhttps://doi.org/10.1109/MLSP55844.2023.10285978
Codehttps://github.com/SFI-Visual-Intelligence/random-windowing
paperhttps://doi.org/10.7557/18.6244
paperhttps://doi.org/10.3390/cancers14122974
Code 1https://github.com/SFI-Visual-Intelligence/histology
Code 2https://github.com/SFI-Visual-Intelligence/hovernet-pipeline
Code 3https://github.com/SFI-Visual-Intelligence/hover_build
paperhttps://hdl.handle.net/10037/28499
paperhttps://doi.org/10.1109/JBHI.2022.3181148
Codehttps://github.com/SFI-Visual-Intelligence/aortic-valve-event-detection
paperhttps://doi.org/10.1109/ISBI52829.2022.9761651
paperhttps://doi.org/10.1007/978-3-031-16452-1_7
paperhttps://doi.org/10.1109/ACCESS.2022.3174059
paperhttps://doi.org/10.1371/journal.pone.0274291
Codehttps://github.com/SFI-Visual-Intelligence/dr_pretraining
paperhttps://doi.org/10.1016/j.asoc.2021.108074
paperhttps://doi.org/10.1177/0271678X21991393
paperhttps://doi.org/10.3390/s21030680
paperhttps://doi.org/10.1007/978-3-030-86523-8_47
paperhttps://ceur-ws.org/Vol-3975/
paperhttps://doi.org/10.3390/jmse11112085
paperhttps://doi.org/10.1109/JOE.2022.3226214
Codehttps://github.com/SFI-Visual-Intelligence/PredKlus-semisup-segmentation
paperhttps://doi.org/10.1093/icesjms/fsab140
paperhttps://doi.org/10.1016/j.aiig.2025.100145
Codehttps://github.com/SFI-Visual-Intelligence/ict-plus-uncertainty
paperhttps://doi.org/10.1016/j.aiig.2025.100184
Codehttps://github.com/SFI-Visual-Intelligence/scampi-benchmark
paperhttps://doi.org/10.1016/j.ijepes.2025.110900
paperhttps://doi.org/10.1016/j.eswa.2024.123773
paperhttps://doi.org/10.1016/j.aiig.2024.100080
Codehttps://github.com/SFI-Visual-Intelligence/simclr
paperhttps://doi.org/10.3390/app11146543
paperhttps://doi.org/10.1109/tgrs.2025.3610502
GitLabhttps://gitlab.telecom-paris.fr/ring/joint-despeckling-and-thermal-noise-compensation.git
Codehttps://github.com/SFI-Visual-Intelligence/joint-despeckling-and-thermal-noise-compensation
paperhttps://doi.org/10.1109/MGRS.2024.3470986
paperhttps://doi.org/10.1029/2022GL102083
paperhttps://doi.org/10.1109/TGRS.2022.3231932
Codehttps://github.com/SFI-Visual-Intelligence/GD4PolSARModes
paperhttps://doi.org/10.1109/TNNLS.2022.3172183
Codehttps://github.com/SFI-Visual-Intelligence/Heterogeneous_CD
paperhttps://doi.org/10.1080/01431161.2022.2098078
Codehttps://github.com/SFI-Visual-Intelligence/MultiModNet?tab=readme-ov-file
paperhttps://doi.org/10.1080/01431161.2021.1936267
https://github.com/SFI-Visual-Intelligence#research-challenges-
paperhttps://proceedings.mlr.press/v307/utseth26a.html
paperhttps://doi.org/10.1109/CVPR52734.2025.00962
Codehttps://github.com/SFI-Visual-Intelligence/AdaptCMVC
paperhttps://doi.org/10.1016/j.jpi.2025.100437
Codehttps://github.com/SFI-Visual-Intelligence/hovernet-pipeline
paperhttps://ceur-ws.org/Vol-3975/
paperhttps://openreview.net/pdf?id=0BJTRUVDf4
Codehttps://github.com/SFI-Visual-Intelligence/DoRA-for-FM-robustness
paperhttps://doi.org/10.1016/j.patcog.2025.112117
paperhttps://doi.org/10.1016/j.aiig.2025.100184
Codehttps://github.com/SFI-Visual-Intelligence/scampi-benchmark
paperhttps://doi.org/10.1007/978-3-032-06329-8_21
paperhttps://doi.org/10.1016/j.ijepes.2025.110900
paperhttps://doi.org/10.1016/j.asoc.2024.111855
paperhttps://doi.org/10.1109/MGRS.2024.3470986
paperhttps://doi.org/10.3389/fnume.2024.1372379
paperhttps://doi.org/10.48550/arXiv.2407.17486
Codehttps://github.com/SFI-Visual-Intelligence/MaSSL
paperhttps://doi.org/10.1016/j.eswa.2024.123773
paperhttps://hdl.handle.net/10037/36771
Codehttps://github.com/SFI-Visual-Intelligence/MAP-IT-to-Visualize-Representations
paperhttps://doi.org/10.5194/angeo-42-431-2024
paperhttps://doi.org/10.1016/j.compmedimag.2023.102239
Codehttps://github.com/SFI-Visual-Intelligence/clinical-self-supervised-CBIR-ct-liver.git
paperhttps://doi.org/10.1016/j.media.2023.102870
paperhttps://doi.org/10.1109/JOE.2022.3226214
Codehttps://github.com/SFI-Visual-Intelligence/PredKlus-semisup-segmentation
paperhttps://doi.org/10.1109/ICCV51070.2023.02116
paperhttps://doi.org/10.1109/CVPR52729.2023.00727
Codehttps://github.com/SFI-Visual-Intelligence/noHub
paperhttps://doi.org/10.1109/CVPR52729.2023.02296
Codehttps://github.com/SFI-Visual-Intelligence/DeepMVC
paperhttps://doi.org/10.1109/ISBI53787.2023.10230655
Codehttps://github.com/SFI-Visual-Intelligence/ADNet-for-AIS-segmentation
paperhttps://doi.org/10.1109/ICASSP49357.2023.10095856
Codehttps://github.com/SFI-Visual-Intelligence/SuperCM.git
paperhttps://doi.org/10.3390/rs15174291
paperhttps://doi.org/10.1109/MLSP55844.2023.10285978
Codehttps://github.com/SFI-Visual-Intelligence/random-windowing
paperhttps://doi.org/10.3390/cancers14122974
Code 1https://github.com/SFI-Visual-Intelligence/histology
Code 2https://github.com/SFI-Visual-Intelligence/hovernet-pipeline
Code 3https://github.com/SFI-Visual-Intelligence/hover_build
paperhttps://hdl.handle.net/10037/28499
paperhttps://hdl.handle.net/10037/28499
paperhttps://hdl.handle.net/11250/4447508
Resourcehttps://github.com/SFI-Visual-Intelligence/ARMANI
paperhttps://doi.org/10.1109/JBHI.2022.3181148
Codehttps://github.com/SFI-Visual-Intelligence/aortic-valve-event-detection
paperhttps://doi.org/10.1109/TNNLS.2022.3172183
Codehttps://github.com/SFI-Visual-Intelligence/Heterogeneous_CD
paperhttps://doi.org/10.1007/978-3-031-16452-1_7
paperhttps://doi.org/10.1109/CVPR52688.2022.02057
Datasethttps://xiaodongsuper.github.io/M5Product_dataset/
paperhttps://doi.org/10.1016/j.patrec.2022.02.007
Codehttps://github.com/SFI-Visual-Intelligence/MixupContrastiveLearning
paperhttps://doi.org/10.1371/journal.pone.0274291
Codehttps://github.com/SFI-Visual-Intelligence/dr_pretraining
paperhttps://doi.org/10.1177/0271678X21991393
paperhttps://doi.org/10.1109/TGRS.2021.3056196
Codehttps://github.com/SFI-Visual-Intelligence/Heterogeneous_CD
paperhttps://doi.org/10.1109/CVPR46437.2021.00131
Codehttps://github.com/SFI-Visual-Intelligence/mvc
paperhttps://doi.org/10.7557/18.5709
paperhttps://doi.org/10.1093/icesjms/fsab140
paperhttps://openreview.net/forum?id=91igqpzV9M¬eId=91igqpzV9M
Codehttps://github.com/SFI-Visual-Intelligence/EchoVLMLandmarks
paperhttps://hdl.handle.net/11250/5486047
Codehttps://github.com/SFI-Visual-Intelligence/SPoT
paperhttps://doi.org/10.1109/CVPR52734.2025.01447
Codehttps://github.com/SFI-Visual-Intelligence/hubREP
paperhttps://doi.org/10.1007/978-3-031-93806-1_11
Codehttps://github.com/SFI-Visual-Intelligence/SPiT
paperhttps://proceedings.mlr.press/v267/a-mancisidor25a.html
paperhttps://doi.org/10.1007/978-3-031-95918-9_20
paperhttps://openreview.net/forum?id=y8VWYf5cVI
Codehttps://github.com/SFI-Visual-Intelligence/dHT
paperhttps://proceedings.mlr.press/v265/uebbing25a.html
Codehttps://github.com/SFI-Visual-Intelligence/icenet-paper
paperhttps://doi.org/10.1109/tgrs.2025.3610502
GitLabhttps://gitlab.telecom-paris.fr/ring/joint-despeckling-and-thermal-noise-compensation.git
Codehttps://github.com/SFI-Visual-Intelligence/joint-despeckling-and-thermal-noise-compensation
paperhttps://doi.org/10.1109/TBME.2024.3440838
paperhttps://doi.org/10.1007/978-3-031-91585-7_26
Codehttps://github.com/SFI-Visual-Intelligence/ProxyDR
paperhttps://doi.org/10.1007/978-3-032-04937-7_47
Codehttps://github.com/SFI-Visual-Intelligence/Longitudinal_Mammogram_Alignment.git
paperhttps://proceedings.mlr.press/v258/heinonen25a.html
Codehttps://github.com/SFI-Visual-Intelligence/supervised-mollification
paperhttps://hdl.handle.net/11250/5144180
Project pagehttps://windvchen.github.io/Sitcom-Crafter
paperhttps://doi.org/10.1007/978-3-032-05182-0_64
Codehttps://github.com/SFI-Visual-Intelligence/VMRA-MaR.git
paperhttps://doi.org/10.1038/s41598-024-68800-1
Codehttps://github.com/SFI-Visual-Intelligence/CrossModal_ImgRetrieval
paperhttps://doi.org/10.1109/LGRS.2024.3366308
paperhttps://doi.org/10.1016/j.patcog.2023.110229
Codehttps://github.com/SFI-Visual-Intelligence/tk-uco
paperhttps://doi.org/10.1609/aaai.v38i4.28131
Resourcehttps://github.com/SFI-Visual-Intelligence/PTUS
paperhttps://doi.org/10.3390/jmse11112085
paperhttps://doi.org/10.1109/ICCV51070.2023.00803
Codehttps://github.com/SFI-Visual-Intelligence/CoordFormer
paperhttps://doi.org/10.1109/ACCESS.2023.3292212
paperhttps://doi.org/10.1109/TKDE.2023.3240858
Datasethttps://github.com/SFI-Visual-Intelligence//doi.org/10.1109/TGRS.2022.3231932
paperhttps://doi.org/10.1109/ACCESS.2022.3174059
paperhttps://doi.org/10.1080/01431161.2022.2098078
Codehttps://github.com/SFI-Visual-Intelligence/MultiModNet?tab=readme-ov-file
paperhttps://doi.org/10.48550/arXiv.2211.14052
Codehttps://github.com/SFI-Visual-Intelligence/3D-GCL
paperhttps://doi.org/10.3390/app11146543
paperhttps://doi.org/10.1007/s10994-021-06015-5
Codehttps://github.com/SFI-Visual-Intelligence/clustering-Module
paperhttps://doi.org/10.48550/arXiv.2108.05126
Codehttps://github.com/SFI-Visual-Intelligence/M3D-VTON
paperhttps://doi.org/10.1080/01431161.2021.1936267
paperhttps://doi.org/10.1007/978-3-030-86523-8_47
paperhttps://doi.org/10.48550/arXiv.2111.10544
Codehttps://github.com/SFI-Visual-Intelligence/PASTA-GAN
paperhttps://hdl.handle.net/10852/119461
paperhttps://doi.org/10.1007/978-3-031-98691-8_19
paperhttps://doi.org/10.1016/j.aiig.2025.100145
Codehttps://github.com/SFI-Visual-Intelligence/ict-plus-uncertainty
paperhttps://doi.org/10.1609/aaai.v39i8.32900
Codehttps://github.com/SFI-Visual-Intelligence/REPEAT/
paperhttps://doi.org/10.1109/TPAMI.2025.3552434
Codehttps://github.com/SFI-Visual-Intelligence/conditional_CS_divergence
paperhttps://doi.org/10.1109/TNNLS.2024.3449419
paperhttps://hdl.handle.net/11250/3414087
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