Get started
Author

Jesper Molin

Observed names: J. Molin, Molin, Jesper
Institution: Sectra (Sweden)
ORCID: 0009-0002-8191-5650
Observed ORCIDs: 0009-0002-8191-5650, 0000-0003-1004-3146
OpenAlex ID: A5055829118
Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge
2019 · Mitko Veta, Yujing J. Heng, et al. · Medical Image Analysis · 324
Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013
2014 · Sten Thorstenson, Jesper Molin, et al. · Journal of Pathology Informatics · 175
PDF
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results
2018 · Henning Höfener, André Homeyer, et al. · Computerized Medical Imaging and Graphics · 88
PDF
Towards grading gleason score using generically trained deep convolutional neural networks
2016 · Hanna Kallen, Jesper Molin, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 71
The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice
2021 · Anna C S Bodén, Jesper Molin, et al. · Histopathology · 54
PDF
From machine learning to machine teaching: the importance of UX
2018 · Martin Lindvall, Jesper Molin, et al. · interactions · 26
PDF
A comparative study of input devices for digital slide navigation
2015 · Jesper Molin, Claes Lundström, et al. · Journal of Pathology Informatics · 24
PDF
Slide navigation patterns among pathologists with long experience of digital review
2014 · Jesper Molin, Morten Fjeld, et al. · Histopathology · 20
PDF
Understanding Design for Automated Image Analysis in Digital Pathology
2016 · Jesper Molin, Paweł W. Woźniak, et al. · Nordic Conference on Human-Computer Interaction · 15
Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization
2016 · Molin, Jesper, Bodén, Anna, et al. · arXiv (Cornell University) · 10
PDF
Training Nuclei Detection Algorithms with Simple Annotations
2017 · Henning Kost, André Homeyer, et al. · Journal of Pathology Informatics · 9
PDF
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology
2021 · Freja Fagerblom, Karin Stacke, et al. · SPIE Medical Imaging: Digital and Computational Pathology · 7
Feature-enhancing zoom to facilitate Ki-67 hot spot detection
2014 · Jesper Molin, Kavitha Shaga Devan, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 7
PDF
Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data
2024 · E. Ståhlbom, J. Molin, et al. · Computer Graphics Forum · 5
Improving the creation and reporting of structured findings during digital pathology review
2016 · Ida Cervin, Jesper Molin, et al. · Journal of Pathology Informatics · 5
PDF
Designing for the Long Tail of Machine Learning
2020 · Lindvall, Martin, Molin, Jesper · arXiv (Cornell University) · 4
PDF
The Importance of UX for Machine Teaching.
2018 · Martin Lindvall, Jesper Molin, et al. · National Conference on Artificial Intelligence · 4
The thorny complexities of visualization research for clinical settings: A case study from genomics
2023 · Emilia Ståhlbom, Jesper Molin, et al. · Frontiers in Bioinformatics · 2
PDF
Verification Staircase: a Design Strategy for Actionable Explanations.
2020 · Martin Lindvall, Jesper Molin · Intelligent User Interfaces · 2
Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use
2016 · Jesper Molin · Chalmers Publication Library (Chalmers University of Technology) · 2
PDF
Exploring Content-Driven Axis Compression for Visualization of Heterogeneous Data
2026 · Emilia Ståhlbom, Jesper Molin, et al. · IEEE Transactions on Visualization and Computer Graphics
Designing a digital pathology workstation for routine practice
2015 · Jesper Molin · Chalmers Publication Library (Chalmers University of Technology)
Works count: 24
Citation count: 854
H-index: 10
I10-index: 10
Year
Topic
Type