Valais/Wallis AI Workshop 8th edition

8h30

Coffee and croissants

8h55

Short official opening

9h00

Invited presentation: Igor Letovanec (Valais Hospital): "Digital pathology : Facts, opportunities and challenges"

Dr Igor Letovanec graduated from Lausanne University Medical School in 1999. He trained in pathology at the CHUV and HUG Hospitals and since 2010 has been working as pathologist - médecin associé - at the CHUV, in charge of thoracic, bone and soft tissue and skin pathology. Since 2020 he is Head of the Pathology Department of the Valais Hospital Central Institute and kept an affiliation to the CHUV. Dr Letovanec authored or co-authored over 90 papers in peer reviewed journals (Cancer Discovery, Journal of Thoracic oncology or Nature among others). His main fields of research are biomarkers, lung pathology and tumor heterogeneity. He is also interested in innovation and digital pathology.

9h40

Niccolo Marini (HES-SO Valais): "Reducing the need for manual annotations when extracting knowledge from multimodal data sources"

9h55

Ina Kodrasi (IDIAP): "Detecting Neurological Disorders from Speech using Deep Learning"

10h10

Valentin Oreiller (HES-SO Valais): "Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net”

10h25

Lonneke Van Der Plas (IDIAP): "Novel concept Generation and ist applicability to the medical domain"

10h40

Coffee break

11h10

Invited presentation: Meritxel Bach Cuadra (CIBM Center for Biomedical Imaging, UNIL/CHUV): "MSxplain: towards XAI-systems for the assessment of MRI biomarkers in Multiple Sclerosis"

Meritxell Bach Cuadra is a Senior Lecturer and Privat Docent at the University of Lausanne (UNIL). She is  head of the  CIBM Center for Biomedical Imaging  Signal Processing  CHUV-UNIL Computational Neuroanatomy & Fetal Imaging Section and head of the Medical Image Analysis Laboratory (MIAL) hosted in the Radiology Department of the Lausanne University Hospital (CHUV). Since 2000, she has pursued a career in research in medical image analysis, with focus in the domain of machine learning, reconstruction, segmentation and registration in computational brain anatomy. She currently leads a group of ~10 researchers (among engineers and medical doctors) with the aim to develop novel image processing methods to allow a more effective use of emerging medical images, balanced between fundamental research aspects of image processing and application-oriented projects.

11h50

Zohreh Mostaani (IDIAP): "Audio-based Covid-19 Infection Detection using Neural Embeddings"

12h05

Dhrangadhariya Anjani (HES-SO): "Weak Supervision for fuzzy clinical span detection"

12h20

Andre Freitas (IDIAP):"Delivering complex and explainable AI inference in medicine"

12h35

Gaetano Manzo (HES-SO) : «Breast Cancer Survival Analysis for Clinical Decision Support»

12h50

Lunch break, time for discussions