Kostas Kamnitsas's Avatar

Kostas Kamnitsas

@kostaskamnitsas

Assoc Prof - ML for Medical Imaging - Univ of Oxford, Dept Engineering Co-Director CDT Healthcare Data Science Honor. Res. Fellow Imperial College & Univ of Birmingham Creator http://deepmedic.org

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07.02.2024
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Latest posts by Kostas Kamnitsas @kostaskamnitsas

πŸ€– Interested in #Out_of_Distribution_detection?
Read about a very interesting model behaviour we found in our new #CVPR2026 work!πŸ‘‡

27.02.2026 01:19 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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πŸ“£New #ICLR paper πŸ₯³
πŸ€– "You Point, I Learn: Online Adaptation of Interactive Segmentation Models in Medical Imaging"
#Interactive: Works *with the user*, not replace them
#Adapts: *Learns from user* after each interaction.
Handles #distribution_shifts, eg new MRI sequences

πŸ“œ arxiv.org/abs/2503.067...

11.02.2026 21:20 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Sincerely thank you @miccaisociety.bsky.social for this huge honor. I am sure this will be very motivating for Ziyun and the lab to keep pushing forward. Thank you! 🫑 πŸ₯° πŸ€—

26.09.2025 13:25 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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IterMask3D: Unsupervised anomaly detection and segmentation with test-time iterative mask refinement in 3D brain MRI Unsupervised anomaly detection and segmentation methods train a model to learn the training distribution as β€˜normal’. In the testing phase, they ident…

πŸ€– The paper introduces, IterMask3D, an unsupervised (no training labels) 3D model for detection & segmentation of unexpected artifacts (quality control/reliability) and brain lesions in brain MRI πŸ₯

πŸ˜€So proud for the growth of our students. Thanks team for the hard work🫑

26.09.2025 13:20 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
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πŸ₯³πŸŽŠπŸ₯‚ She won it! She won it! She won it! πŸŽ‰πŸŽŠπŸ₯‚
πŸ†πŸ…Best Paper Award #MICCAI2025 for our #MedIA article!πŸ…πŸ†

One of most prestigious awards in #Medical #Imaging that I could only dream when starting a lab 3 years ago, but @ziyunliang.bsky.social made it!

πŸ“œ Paper: www.sciencedirect.com/science/arti...
πŸ§΅πŸ‘‡

26.09.2025 13:20 πŸ‘ 5 πŸ” 0 πŸ’¬ 2 πŸ“Œ 0

Really proud of the lab's progress and the growth of our students: Decentralised Isolation Networks (DIsoN) for out-of-distribution detection accepted to #NeurIPS2025 !

20.09.2025 09:08 πŸ‘ 3 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

πŸ“£ New article on MedIA, a fantastic job by Ziyun:

πŸ€–πŸ₯IterMask3D: Unsupervised Anomaly Detection and Segmentation in 3D Brain MRI

-AI that detects problematic image artifacts (eg Quality Control for reliability)
-Advances unsupervised lesion segmentation
-No labels for training

Open Access & codeπŸ‘‡

19.09.2025 10:45 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

Towards foundational models for Brain Lesion Segmentation with Multi-Modal MRI, vol.2 from our lab:

We show it s feasible to train 1 model with Federated Learning on clients with different brain lesions and MRI modalities, with performance similar to centralised.
Oral @wacvconference.bsky.social

27.01.2025 19:58 πŸ‘ 4 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0