13 results match your criteria: "HES-SO Valais Wallis University of Applied Sciences and Arts Western Switzerland[Affiliation]"

Manual segmentation of lesions, required for radiotherapy planning and follow-up, is time-consuming and error-prone. Automatic detection and segmentation can assist radiologists in these tasks. This work explores the automated detection and segmentation of brain metastases (BMs) in longitudinal MRIs.

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 - a large-scale dataset of 3D medical shapes for computer vision.

Biomed Tech (Berl)

December 2024

Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (AöR), Essen, Germany.

Objectives: The shape is commonly used to describe the objects. State-of-the-art algorithms in medical imaging are predominantly diverging from computer vision, where voxel grids, meshes, point clouds, and implicit surface models are used. This is seen from the growing popularity of ShapeNet (51,300 models) and Princeton ModelNet (127,915 models).

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Article Synopsis
  • This paper investigates how uncertainty quantification (UQ) can help assess the reliability of deep learning tools for segmenting white matter lesions in MRI scans of multiple sclerosis patients.
  • It focuses on two main areas: ensuring that higher uncertainty values correctly indicate potentially incorrect predictions, and examining how uncertainty can vary across different anatomical levels—like voxels, lesions, and patients.
  • The authors present new methods for measuring uncertainty at the lesion and patient scales, and their findings show that these methods are more effective at identifying model errors compared to traditional voxel-scale uncertainty measures.
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Assessing the individual risk of Major Adverse Cardiac Events (MACE) is of major importance as cardiovascular diseases remain the leading cause of death worldwide. Quantitative Myocardial Perfusion Imaging (MPI) parameters such as stress Myocardial Blood Flow (sMBF) or Myocardial Flow Reserve (MFR) constitutes the gold standard for prognosis assessment. We propose a systematic investigation of the value of Artificial Intelligence (AI) to leverage [ Rb] Silicon PhotoMultiplier (SiPM) PET MPI for MACE prediction.

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How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review.

Neuroimage Clin

September 2023

Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland; Department of Neurology, University Hospital Basel, Basel, Switzerland; Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland. Electronic address:

Introduction: Over the past few years, the deep learning community has developed and validated a plethora of tools for lesion detection and segmentation in Multiple Sclerosis (MS). However, there is an important gap between validating models technically and clinically. To this end, a six-step framework necessary for the development, validation, and integration of quantitative tools in the clinic was recently proposed under the name of the Quantitative Neuroradiology Initiative (QNI).

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Members in society make ubiquitous use of examples as a resource to engage in their everyday and specialized activities. This paper takes the resourcefulness of exemplification as a topic of inquiry by focusing on the formulative phrase "for example," investigating its interactional work within the analytic framework of ethnomethodology and conversation analysis. The data used consists of 11 h of video-recordings of English as a Foreign Language classroom lessons over a semester.

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This paper presents an overview of the third edition of the HEad and neCK TumOR segmentation and outcome prediction (HECKTOR) challenge, organized as a satellite event of the 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022. The challenge comprises two tasks related to the automatic analysis of FDG-PET/CT images for patients with Head and Neck cancer (H&N), focusing on the oropharynx region. is the fully automatic segmentation of H&N primary Gross Tumor Volume (GTVp) and metastatic lymph nodes (GTVn) from FDG-PET/CT images.

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Harold Garfinkel and Edward Rose in the early years of ethnomethodology.

J Hist Behav Sci

April 2023

Department of Sociology, Faculty of Arts, Charles University, Prague, Czech Republic.

This article documents the beginning of the intellectual companionship between the founder of ethnomethodology, Harold Garfinkel, and Edward Rose, who is most often associated with his program of "ethno-inquiries." I present results from archival research focusing on the contacts and collaborations between Rose and Garfinkel in the years 1955-1965. First, I describe the review process for Rose and Felton's paper, submitted to the American Sociological Review in 1955, which Garfinkel reviewed and after Rose's rebuttal recommended for publication.

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A vast majority of studies in the radiomics field are based on contours originating from radiotherapy planning. This kind of delineation ( Gross Tumor Volume, GTV) is often larger than the true tumoral volume, sometimes including parts of other organs ( trachea in Head and Neck, H&N studies) and the impact of such over-segmentation was little investigated so far. In this paper, we propose to evaluate and compare the performance between models using two contour types: those from radiotherapy planning, and those specifically delineated for radiomics studies.

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Towards understanding how we pay attention in naturalistic visual search settings.

Neuroimage

December 2021

The LINE (Laboratory for Investigative Neurophysiology), Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland; MEDGIFT Lab, Institute of Information Systems, School of Management, HES-SO Valais-Wallis University of Applied Sciences and Arts Western Switzerland, Techno-Pôle 3, 3960 Sierre, Switzerland; Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN, USA.

Research on attentional control has largely focused on single senses and the importance of behavioural goals in controlling attention. However, everyday situations are multisensory and contain regularities, both likely influencing attention. We investigated how visual attentional capture is simultaneously impacted by top-down goals, the multisensory nature of stimuli, and the contextual factors of stimuli's semantic relationship and temporal predictability.

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A prominent feature of ankle sprains is their variable clinical course. The difficulty of providing a reliable early prognosis may be responsible for the substantial rate of poor outcomes after an ankle sprain. The aim of the present study was to evaluate the prognostic value of objective clinical measures, pain, and functional scores for ankle sprain recovery.

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Development of Biopolyesters (PHA) as Part of the Swiss Priority Program in Biotechnology.

Chimia (Aarau)

May 2020

HES-SO Valais-Wallis (University of Applied Sciences and Arts Western Switzerland Valais), Institute of Life Technologies, Route du Rawyl 47, CH-1950 Sion 2, Switzerland;, Email:

The Swiss Priority Program in Biotechnology of the Swiss National Science Foundation that lasted between 1992 and 2001 had a boosting effect on many biotech disciplines and on the developments of polyhydroxyalkanoates (PHAs) in Switzerland in particular. The funding organization led by Prof. Oreste Ghisalba enabled a better understanding of the PHA biosynthesis and the development, as well as the implementation of novel bioprocesses ( two-phase fermentations, multiple nutrient limited growth conditions, multi-stage chemostats, and product formation in different host organisms).

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Bioactive Compounds of Juice and Peels of Yuzu Fruits Cultivated in Switzerland.

Chimia (Aarau)

October 2018

HES-SO Valais-Wallis (University of Applied Sciences and Arts Western Switzerland Valais), Institute of Life Technologies, Route du Rawyl 47, CH-1950 Sion 2;, Email:

Yuzu is a citrus fruit cultivated mainly in northeast Asia. Due to the huge gastronomic interest emerging in recent years, some attempts to grow yuzu in Europe are being made. Juice and peel of yuzu cultivated in Switzerland have been characterised in this study.

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