Fabian Aschwanden

ORCID: 0009-0001-0955-1621
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Research Areas
  • Multiple Sclerosis Research Studies
  • Urinary Bladder and Prostate Research
  • Ultrasound Imaging and Elastography
  • Prostate Cancer Diagnosis and Treatment
  • Urologic and reproductive health conditions
  • Dermatology and Skin Diseases
  • Urticaria and Related Conditions
  • Renal cell carcinoma treatment
  • Healthcare cost, quality, practices
  • Hernia repair and management
  • Hemostasis and retained surgical items
  • Herpesvirus Infections and Treatments
  • Brain Tumor Detection and Classification
  • RNA regulation and disease
  • Advanced Neuroimaging Techniques and Applications
  • Photoacoustic and Ultrasonic Imaging
  • AI in cancer detection
  • Food Allergy and Anaphylaxis Research
  • Bacillus and Francisella bacterial research
  • Medical Image Segmentation Techniques
  • Diversity and Career in Medicine
  • Hospital Admissions and Outcomes
  • Contact Dermatitis and Allergies
  • Systemic Sclerosis and Related Diseases
  • Poxvirus research and outbreaks

University of Lucerne
2025

Luzerner Kantonsspital
2021-2024

Ente Ospedaliero Cantonale
2022

University Hospital of Bern
2018-2021

University of Bern
2018-2019

Abstract Segmentation of white matter lesions and deep grey structures is an important task in the quantification magnetic resonance imaging multiple sclerosis. In this paper we explore segmentation solutions based on convolutional neural networks (CNNs) for providing fast, reliable segmentations grey-matter multi-modal MR imaging, performance these methods when applied to out-of-centre data. We trained two state-of-the-art fully CNN architectures 2016 MSSEG training dataset, which was...

10.1038/s41598-020-79925-4 article EN cc-by Scientific Reports 2021-01-13

The detection of new or enlarged white-matter lesions is a vital task in the monitoring patients undergoing disease-modifying treatment for multiple sclerosis. However, definition ‘new enlarged’ not fixed, and it known that lesion-counting highly subjective, with high degree inter- intra-rater variability. Automated methods lesion quantification, if accurate enough, hold potential to make consistent repeatable. majority segmentation algorithms are evaluated their ability separate...

10.1016/j.nicl.2019.102104 article EN cc-by-nc-nd NeuroImage Clinical 2019-12-09

Volumetric image analysis to detect progressive brain tissue loss in patients with multiple sclerosis (MS) has recently been suggested as a promising marker for "no evidence of disease activity." Software packages longitudinal whole-brain volume individual are already clinical use; however, most these methods have omitted region-based analysis. Here, we suggest fully automatic pipeline based on the free software FSL and FreeSurfer.Fifty-five T1-weighted magnetic resonance imaging (MRI)...

10.3389/fneur.2017.00727 article EN cc-by Frontiers in Neurology 2018-01-23

Segmentation of white matter lesions and deep grey structures is an important task in the quantification magnetic resonance imaging multiple sclerosis. In this paper we explore segmentation solutions based on convolutional neural networks (CNNs) for providing fast, reliable segmentations grey-matter multi-modal MR imaging, performance these methods when applied to out-of-centre data. We trained two state-of-the-art fully CNN architectures 2016 MSSEG training dataset, which was annotated by...

10.48550/arxiv.1901.07419 preprint EN other-oa arXiv (Cornell University) 2019-01-01

To investigate whether ankle braces or shoulder support used for fixation during robot-assisted radical prostatectomy (RARP), where patients are commonly positioned in the head-down Trendelenburg position, differ their potential to cause peripheral nerve injury.

10.1111/bju.16623 article EN BJU International 2024-12-12

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

10.2139/ssrn.3529469 article EN SSRN Electronic Journal 2020-01-01

Retroperitoneal lymph node dissection (RPLND) is a treatment option for men with stage 1 or 2 testis cancer and the standard of care postchemotherapy retroperitoneal residual disease. Given morbidity RPLND, four important surgical modifications have been proposed: minimally invasive access, nerve-sparing resection, template en-bloc resection.To describe steps perioperative outcomes robotic unilateral RPLND resection (roboRPLND-NS+).From 2017 to 2019, five patients suspicion metastatic...

10.1016/j.euros.2021.07.004 article EN cc-by-nc-nd European Urology Open Science 2021-08-15

ABSTRACT Purpose: We describe a surgical technique for robotic-assisted partial nephrectomy, including 3 novel steps to facilitate resection and suturing. This approach minimizes positive margins the risk of postoperative bleeding. Materials Methods: article describes retrospective study single-surgeon series, 49 patients. The includes descriptive analysis Intraoperative Adverse Incident Classification, complications using Clavien-Dindo description pathological oncological outcomes. Results:...

10.1097/ju9.0000000000000055 article EN cc-by-nc-nd JU Open Plus 2023-12-01

Abstract Objective: Up to 10% of patients report penicillin allergy (PA), although only 1% are truly affected by Ig-E-mediated allergies. PA has been associated with worse postoperative outcomes, but studies on the impact reported in cancer lacking, and especially these multimorbid patients, a non-complicated course is utmost importance. Methods: Retrospective analysis undergoing elective oncological surgery at tertiary reference center. Data surgical site infections (SSI), complications...

10.1017/ash.2023.501 article EN cc-by-nc-nd Antimicrobial Stewardship & Healthcare Epidemiology 2023-01-01

The detection of new or enlarged white-matter lesions in multiple sclerosis is a vital task the monitoring patients undergoing disease-modifying treatment for sclerosis. However, definition 'new enlarged' not fixed, and it known that lesion-counting highly subjective, with high degree inter- intra-rater variability. Automated methods lesion quantification hold potential to make consistent repeatable. majority segmentation algorithms are evaluated their ability separate progressive from...

10.48550/arxiv.1904.03041 preprint EN other-oa arXiv (Cornell University) 2019-01-01

10.1007/s41972-022-00159-9 article DE Journal für Urologie und Urogynäkologie/Österreich 2022-03-22

Abstract Background : We describe a surgical technique to facilitate very early return of continence and erectile function after robotic-assisted radical prostatectomy (RARP) for prostate cancer. Objective To the “igloo technique” RARP. Design, setting, participants Prospective study first 13 patients be treated with igloo at major urban hospital. Only without suspected invasion neurovascular bundle were included. Surgical procedure RARP was performed using preserve all periprostatic...

10.21203/rs.3.rs-2159863/v1 preprint EN cc-by Research Square (Research Square) 2022-10-18

Abstract Background : We describe a surgical technique to facilitate very early return of continence and erectile function after robotic-assisted radical prostatectomy (RARP) for prostate cancer. Objective To the “igloo technique” RARP. Design, setting, participants Prospective study first 13 patients be treated with igloo at major urban hospital. Only without suspected invasion neurovascular bundle were included. Surgical procedure RARP was performed using preserve all periprostatic...

10.21203/rs.3.rs-2159863/v2 preprint EN cc-by Research Square (Research Square) 2022-12-12
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