Concepedia
Statistics
Publications
10
Citations
770
H-Index
Active since
2014
Affiliations
Sectra (Sweden)(Current)
Linköping University
Chalmers University of Technology
Fraunhofer Institute for Digital Medicine
Leeds Teaching Hospitals NHS Trust
Jesper Molin is an author at Sectra (Sweden) specializing in engineering, image analysis, and digital pathology.
Top concepts
EngineeringRadiologyImage AnalysisMedical ImagingDigital PathologyMedical Image ComputingMedicineData ScienceDeep LearningMachine Learning
Publications per year
2014–2021
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
Mitko Veta, Yujing J. Heng, Nikolas Stathonikos et al. · Medical Image Analysis · 2019 · 308 citations · Full text
Breast Oncology, Image Analysis, Whole-slide Imaging +14
Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013
Sten Thorstenson, Jesper Molin, Claes Lundström · Journal of Pathology Informatics · 2014 · 175 citations · Full text
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results
Henning Höfener, André Homeyer, Nick Weiss et al. · Computerized Medical Imaging and Graphics · 2018 · 90 citations · Full text
Towards grading gleason score using generically trained deep convolutional neural networks
H.L.A. van der Kallen, Jesper Molin, Anders Heyden et al. · 2016 · 71 citations · Full text
Convolutional Neural Network, Engineering, Machine Learning +21
The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice
Anna Bodén, Jesper Molin, Stina Garvin et al. · Histopathology · 2021 · 39 citations · Full text
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