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PathProfiler has now been published (doi.org/10.1038/s41598…). The tool is open source and allows to profile quality for #digitalpathology and has been tested on #prostate cancer. Work was supported by PathLAKE

Cool - a nice book and great example what future publishing could look like

Congratulations Ka Ho – Great example how deep features and tissue compartment specific features can advance #renal_transplant #digitalpathology. Work with QUOD - Quality in Organ Donation, Maria Kaisar, and J Kers UvA Amsterdam Amsterdam UMC on doi.org/10.1101/2022.0… PathLAKE Nuffield Department of Surgical Sciences

Today the UK funding bodies have published the results of REF 2021. Research from @oxengsi and Oxford Materials was submitted to UoA12 – Engineering, in which 71% of Oxford’s submission was judged to be 4* (the highest score available) #REFResults eng.ox.ac.uk/news/results-o…

Join Engineering researchers and community groups Oxford University Museum of Natural History on 7 June to get involved in interactive workshops, activities and demonstrations, ranging from making paint from sustainable materials, to accessible arts, to how music tech and hiphop interact #ScienceTogether22

We are hiring! #JobAlert: Vacancy 158023 tinyurl.com/2r4whhv9. As part of the Big Data Institute Novo Nordisk collaboration we are looking for machine learning experts who are passionate about the analysis & integration of multi-omic data and next-gen #digitalpathology.

It is great to see more clinically facing workshops at #MICCAI2022. Medical image analysis can and will make a significant contribution early detection.

This continuous fibrosis score for #mpnsm,#mpn is a great example of how digital #pathology/DigitalPathology enables new ways to measure changes in disease progression and response to therapy. NIHR Oxford Biomedical Research Centre, Cancer Research UK and Oxford Cancer available on: doi.org/10.1101/2022.0…

Local information provides clues for saving annotation time - Hongqing will present how to obtain #ultrastructure from #ElectronMicroscopy through self-supervised learning at #CVPR2022 CVMI tinyurl.com/mr22yswy

These two special issues cover two very important topics in #BiologicalImaging #CellBiology #CellularImaging

Finally, we close this #ICML2022 Thursday with Nabeel Seedat, Jonathan Crabbé & me shining a light on Data-SUITE! A new data-centric AI framework tackling an understudied quality problem: characterising incongruous regions of in-distribution data. icml.cc/Conferences/20… 3/3

This programme will open up great opportunities. Hopefully just the start of many efforts to support postgraduate training

Our novel self-interactive multi-instance learning framework will appear in #MICCAI2022 tomorrow, which shows a very high full-granularity feature processing ability especially on the small data set of pathological images. Supervised by Jens Rittscher link.springer.com/chapter/10.100…

Welcome the 4th cohort of our Engineering and Physical Sciences Research Council CDT for Health Data Science EPSRC CDT in Healthcare Data Science at Big Data Institute with Engineering Science, Oxford, Oxford Comp Sci, and Oxford Statistics. This picture is worth a thousand words - this group has already set an important landmark. We wish them all the best!

An important and insightful report - joined-up care requires a changes in workplace culture, education, and technology

CDT Health Data Science Open Day - Friday 18 November - If you cannot travel contact us for a virtual meet & greet- Please sign up Oxford AI Society Black Women in STEM Oxford Women in Computer Science

This could be the next step in moving from static publications to living documents …

Congratulations to the Srinivas Research Group Srinivas Research Group – This is a wonderful example on how visual tracking can enhance our understanding of biology.

We are hiring! For our programme in AI Assured Endoscopy (NIHR Oxford Biomedical Research Centre) we are looking for candidates with a strong background in computer vision, #MedicalImaging, and deep learning who would like to contribute to a clinical imaging project. More on: eng.ox.ac.uk/jobs/job-detai…

Yang's (Yang Hu) ecent contributions to AI applied to digital pathology demonstrate the importance of identifying better features when predicting molecular traits from morphological features with deep learning. Please check out his blog post and preprint ->