Feature-enhancing zoom to facilitate Ki-67 hot spot detection. - Jesper Molin; Kavitha Shaga Devan; Karin Wårdell; Claes Lundström (Digital Pathology, 2014)

Towards grading gleason score using generically trained deep convolutional neural networks. - Hanna Källén; Jesper Molin; Anders Heyden; Claes Lundström; Kalle Åström (ISBI, 2016)

Understanding Design for Automated Image Analysis in Digital Pathology. - Jesper Molin; Pawel W. Wozniak; Claes Lundström; Darren Treanor; Morten Fjeld (NordiCHI, 2016)

Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. - Jesper Molin; Anna Bodén; Darren Treanor; Morten Fjeld; Claes Lundström (CoRR, 2016)

Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use. - Jesper Molin (2016)

The Importance of UX for Machine Teaching. - Martin Lindvall; Jesper Molin; Jonas Löwgren (AAAI Spring Symposia, 2018)

Deep learning nuclei detection: A simple approach can deliver state-of-the-art results. - Henning Höfener; André Homeyer; Nick Weiss; Jesper Molin; Claes F. Lundström; Horst K. Hahn (Comput. Medical Imaging Graph., 2018)

Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. - Mitko Veta; Yujing J. Heng; Nikolas Stathonikos; Babak Ehteshami Bejnordi; Francisco Beca; Thomas Wollmann; Karl Rohr; Manan A. Shah; Dayong Wang; Mikaël Rousson; Martin Hedlund; David Tellez; et al. (CoRR, 2018)

From machine learning to machine teaching: the importance of UX. - Martin Lindvall; Jesper Molin; Jonas Löwgren (Interactions, 2018)

Verification Staircase: a Design Strategy for Actionable Explanations. - Martin Lindvall; Jesper Molin (ExSS-ATEC@IUI, 2020)

Designing for the Long Tail of Machine Learning. - Martin Lindvall; Jesper Molin (CoRR, 2020)

Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology. - Freja Fagerblom; Karin Stacke; Jesper Molin (Digital Pathology, 2021)

Visualization Challenges of Variant Interpretation in Multiscale NGS Data. - Emilia Ståhlbom; Jesper Molin; Claes Lundström; Anders Ynnerman (EuroVis (Posters), 2022)

The thorny complexities of visualization research for clinical settings: A case study from genomics. - Emilia Ståhlbom; Jesper Molin; Anders Ynnerman; Claes Lundström (Frontiers Bioinform., 2023)

Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data. - Emilia Ståhlbom; Jesper Molin; Anders Ynnerman; Claes Lundström (Comput. Graph. Forum, 2024)

Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data. - Emilia Ståhlbom; Jesper Molin; Claes Lundström; Anders Ynnerman (IEEE Trans. Vis. Comput. Graph., 2025)