Jesper Molin
Jesper Molin
Resercher in Digital Pathology
Verified email at - Homepage
Cited by
Cited by
Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013
S Thorstenson, J Molin, C Lundström
Journal of pathology informatics 5, 2014
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge
M Veta, YJ Heng, N Stathonikos, BE Bejnordi, F Beca, T Wollmann, ...
Medical image analysis 54, 111-121, 2019
Towards grading gleason score using generically trained deep convolutional neural networks
H Källén, J Molin, A Heyden, C Lundström, K Åström
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1163-1167, 2016
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results
H Höfener, A Homeyer, N Weiss, J Molin, CF Lundström, HK Hahn
Computerized Medical Imaging and Graphics 70, 43-52, 2018
From machine learning to machine teaching: the importance of UX
M Lindvall, J Molin, J Löwgren
Interactions 25 (6), 52-57, 2018
A comparative study of input devices for digital slide navigation
J Molin, C Lundström, M Fjeld
Journal of pathology informatics 6, 2015
Automated cytology/histology viewers and related methods
F Häll, K Köpsén, J Molin, J Pennerup, O Westman, T Dahlberg, ...
US Patent 9,547,898, 2017
Understanding design for automated image analysis in digital pathology
J Molin, PW Woźniak, C Lundström, D Treanor, M Fjeld
Proceedings of the 9th Nordic Conference on Human-Computer Interaction, 1-10, 2016
Slide navigation patterns among pathologists with long experience of digital review
J Molin, M Fjeld, C Mello‐Thoms, C Lundström
Histopathology 67 (2), 185-192, 2015
Scale Stain: Multi-resolution feature enhancement in pathology visualization
J Molin, A Bodén, D Treanor, M Fjeld, C Lundström
arXiv preprint arXiv:1610.04141, 2016
Feature-enhancing zoom to facilitate Ki-67 hot spot detection
J Molin, KS Devan, K Wårdell, C Lundström
Medical Imaging 2014: Digital Pathology 9041, 90410W, 2014
Training nuclei detection algorithms with simple annotations
H Kost, A Homeyer, J Molin, C Lundström, HK Hahn
Journal of pathology informatics 8, 2017
Methods, systems and circuits for generating magnification-dependent images suitable for whole slide images
J Molin, C Lundstrom, KS Devan
US Patent 9,412,162, 2016
Viewers and related methods, systems and circuits with patch gallery user interfaces
J Molin, C Lundström
US Patent 10,489,633, 2019
Improving the creation and reporting of structured findings during digital pathology review
I Cervin, J Molin, C Lundström
Journal of pathology informatics 7, 2016
Diagnostic Review with Digital Pathology: Design of Digitals Tools for Routine Diagnostic Use
J Molin
Department of Computer Science and Engineering, Chalmers University of …, 2016
The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice
ACS Bodén, J Molin, S Garvin, RA West, C Lundström, D Treanor
Histopathology, 2021
Automated grossing image synchronization and related viewers and workstations
F Häll, K Köpsén, J Molin, J Pennerup, O Westman, T Dahlberg, ...
US Patent 9,984,457, 2018
The Importance of UX for Machine Teaching
M Lindvall, J Molin, J Löwgren
2018 AAAI Spring Symposium Series, 2018
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology
F Fagerblom, K Stacke, J Molin
Medical Imaging 2021: Digital Pathology 11603, 116030S, 2021
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