💡"Automatic labels are as effective as manual labels in digital pathology images classification with deep learning" is now available in The Journal of Pathology Informatics. #DigitalPathology #MedicalAI #ComputationalPathology.🔗

🔬 "Privacy preserving histopathological image augmentation with Conditional Generative Adversarial Networks" is now published in Pattern Recognition Letters, ScienceDirect! This study uses GANs to boost medical imaging while protecting patient privacy.

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🧠 "Native learning ability and not age determines the effects of brain stimulation" — a new study available in npj Science of Learning.⚡ #Neuroscience #BrainStimulation #Neuroplasticity. Link:.

📢 Exciting news! .🎉 Congrats to @henmueller1 for contributing to the impactful paper, "Introduction to the Special Issue on Realistic Synthetic Data: Generation, Learning, Evaluation" in @ACMTransactions Multimedia! #AI #SyntheticData. Link to the paper:.

🦾 Just published! .Our new paper introduces a Multi-Scale CNN approach for sEMG-based hand gesture recognition, optimized to enhance prosthetic control for upper-limb amputees. #sEMG #Prosthetics #CNN #RoboticHand. Link to the paper:.

We're pleased to share that our paper, "Multimodal representations of biomedical knowledge from limited training whole slide images and reports using deep learning" has been published in Medical Image Analysis. Link to the paper:.

New paper alert 🚨. "Improving quality control of whole slide images by explicit artifact augmentation" is now available. The paper has been published in #ScientificReports. Link to the paper: #hessovalais #hessovalaiswallis

Our work "Exploring Publicly Accessible Optical Coherence Tomography Datasets: A Comprehensive Overview" has been published in the #Diagnostics journal by Anastasiia Rozhyna 🎉.The paper is available here: #hessovalais #hessovalaiswallis

Our work "Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple Sclerosis" has been accepted to the #iMIMIC workshop at the #MICCAI2024 Conference. 🎇. The preprint is available here: #hessovalais #hessovalaiswallis

The #MIA paper describing the #ACROBAT2022 challenge has been finally published 🎉 "The ACROBAT 2022 Challenge: Automatic Registration Of Breast Cancer Tissue". Link to the paper:. #hessovalais #hessovalaiswallis

🆕paper alert🚨. @henmueller1 collaborated in "Nuclear medicine technologists practice impacted by AI denoising applications in PET/CT images" which is now published in @sciencedirect. Check the full text:. #hessovalais #hessovalaiswallis

Our works "An Overview of Public Retinal Optical Coherence Tomography Datasets: Access, Annotations, and Beyond" and "PICO to PICOS: Weak Supervision to Extend Datasets with New Labels" have been officially accepted to be presented at the #MIE2024 on August 25-29 in #Athens.🎉.

Adrien Depeursinge, Mario Jreige, and Vincent Andrearczyk will give a tutorial on Radiomics at the European Workshop on Visual Information Processing (EUVIP) 2024, Sunday, 8th September in Geneva University Hospital. Registration here:.

Our work, "A systematic comparison of deep learning methods for Gleason grading and scoring" is now available 𝐒𝐜𝐢𝐞𝐧𝐜𝐞𝐃𝐢𝐫𝐞𝐜𝐭. It compares 12 training approaches, including fully, weak, and self-supervised learning methods. Link to the paper:.

Our work on AI for assessing myocardial perfusion in [82Rb] PET images for predicting major adverse cardiovascular events (MACE) has been published in 𝐍𝐚𝐭𝐮𝐫𝐞 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐟𝐢𝐜 𝐑𝐞𝐩𝐨𝐫𝐭𝐬. Link to the paper:

New publication in Computer Methods and Programs in Biomedicine. Winner of the ACROBAT 2023 challenge 🏆. RegWSI: Whole slide image registration using combined deep feature- and intensity-based methods. Paper: Code:

RT @Hereditary_EU: Last week we have been celebrating the Kick Off Meeting of the project🙌. They were two very productive days in which we….

@hes_so @InfoGestion_HES @hessovalais @ICT_Sierre @ScienceValais 🚀 Stay tuned for more advancements at the intersection of AI and healthcare! #MedicalAI #HealthTech #AIinHealthcare #VincentAndrearczyk #AICafe #InnovationInHealthcare.

@hes_so @InfoGestion_HES @hessovalais @ICT_Sierre @ScienceValais 🔗 Catch the #talk online:

@hes_so @InfoGestion_HES @hessovalais @ICT_Sierre @ScienceValais 🎙️ Vincent's talk covered these aspects and showcased their integration in tasks crucial for #patient care. Examples include #brain lesion management via MRI analysis and head/neck #tumor segmentation with outcome prediction from PET/CT images.