Jesper Molin

According to our database, Jesper Molin authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

The thorny complexities of visualization research for clinical settings: A case study from genomics.

Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström

Frontiers Bioinform., May, 2023

2022

Visualization Challenges of Variant Interpretation in Multiscale NGS Data.

Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman

Proceedings of the 24th Eurographics Conference on Visualization, 2022

2021

Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology.

Freja Fagerblom, Karin Stacke, Jesper Molin

Proceedings of the Medical Imaging 2021: Digital Pathology, Online, February 15-19, 2021, 2021

2020

Designing for the Long Tail of Machine Learning.

Martin Lindvall, Jesper Molin

CoRR, 2020

Verification Staircase: a Design Strategy for Actionable Explanations.

Martin Lindvall, Jesper Molin

Proceedings of the Workshop on Explainable Smart Systems for Algorithmic Transparency in Emerging Technologies co-located with 25th International Conference on Intelligent User Interfaces (IUI 2020), 2020

2018

From machine learning to machine teaching: the importance of UX.

Martin Lindvall, Jesper Molin, Jonas Löwgren

Interactions, 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, Francesco Ciompi, Erwan Zerhouni, David Lanyi, Matheus Palhares Viana, Vassili Kovalev, Vitali Liauchuk, Hady Ahmady Phoulady, Talha Qaiser, Simon Graham, Nasir M. Rajpoot, Erik Sjöblom, Jesper Molin, Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Zhipeng Jia, Eric I-Chao Chang, Yan Xu, Andrew H. Beck, Paul J. van Diest, Josien P. W. Pluim

CoRR, 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

The Importance of UX for Machine Teaching.

Martin Lindvall, Jesper Molin, Jonas Löwgren

Proceedings of the 2018 AAAI Spring Symposia, 2018

2016

Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use.

Jesper Molin

PhD thesis, 2016

Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization.

Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström

CoRR, 2016

Understanding Design for Automated Image Analysis in Digital Pathology.

Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld

Proceedings of the 9th Nordic Conference on Human-Computer Interaction, Gothenburg, Sweden, October 23, 2016

Towards grading gleason score using generically trained deep convolutional neural networks.

Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2014

Feature-enhancing zoom to facilitate Ki-67 hot spot detection.

Jesper Molin, Kavitha Shaga Devan, Karin Wårdell, Claes Lundström

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014