Universität Bern

University / College

Location: Bern, Switzerland (CH) CH

ISNI: 0000000107265157

ROR: https://ror.org/02k7v4d05

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year




A low-cost and open-source approach for supraglacial debris thickness mapping using UAV-based infrared thermography (2024) Messmer J, Groos AR Journal article, Original article Metrics reloaded: recommendations for image analysis validation (2024) Maier-Hein L, Reinke A, Godau P, Tizabi MD, Buettner F, Christodoulou E, Glocker B, et al. Journal article Lymph node metastases and recurrence in pT1 colorectal cancer: Prediction with the International Budding Consortium Score—A retrospective, multi-centric study (2024) Dawson H, Bokhorst JM, Studer L, Vieth M, Oguz Erdogan AS, Kus Öztürk S, Kirsch R, et al. Journal article, Original article Machine Learning Made Easy (MLme): A comprehensive toolkit for machine learning-driven data analysis (2024) Akshay A, Katoch M, Shekarchizadeh N, Abedi M, Sharma A, Burkhard FC, Adam RM, et al. Journal article MLcps: machine learning cumulative performance score for classification problems (2023) Akshay A, Abedi M, Shekarchizadeh N, Burkhard FC, Katoch M, Bigger-Allen A, Adam RM, et al. Journal article A regional assessment of the deglaciation history of the Swiss Plateau based on newly obtained and re-evaluated Be-10 cosmic-ray exposure ages (2023) Hofmann FM, Groos AR, Garcia Morabito E, Struck J, Gnägi C, Scharf A, Rugel G, et al. Journal article, Original article Quality of Life After Poor-Grade Aneurysmal Subarachnoid Hemorrhage (2023) Goldberg J, Z'Graggen WJ, Hlavica M, Branca M, Marbacher S, D'Alonzo D, Fandino J, et al. Journal article Semi-Supervised Learning to Automate Tumor Bud Detection in Cytokeratin-Stained Whole-Slide Images of Colorectal Cancer (2023) Bokhorst JM, Nagtegaal ID, Zlobec I, Dawson H, Sheahan K, Simmer F, Kirsch R, et al. Journal article Machine learning for non-invasive sensing of hypoglycaemia while driving in people with diabetes (2023) Lehmann V, Zueger T, Maritsch M, Kraus M, Albrecht C, Berube C, Feuerriegel S, et al. Journal article Machine Learning for Predicting Micro- and Macrovascular Complications in Individuals With Prediabetes or Diabetes: Retrospective Cohort Study (2023) Schallmoser S, Zueger T, Kraus M, Saar-Tsechansky M, Stettler C, Feuerriegel S Journal article