Jesper Molin

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 13

Top Venues

CoRR

Medical Imaging: Digital Pathology

ISBI

AAAI Spring Symposia

Chalmers University of Technology, Gothenburg, Sweden (PHD)

Education History

Chalmers University of Technology, Gothenburg, Sweden

PHD

Publications

Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data. Comput. Graph. Forum 43 (3) (2024)
Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
The thorny complexities of visualization research for clinical settings: A case study from genomics. Frontiers Bioinform. 3 (2023)
Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman
Visualization Challenges of Variant Interpretation in Multiscale NGS Data. EuroVis (Posters) (2022)
Freja Fagerblom, Karin Stacke, Jesper Molin
Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology. Medical Imaging: Digital Pathology (2021)
Martin Lindvall, Jesper Molin
Designing for the Long Tail of Machine Learning. CoRR (2020)
Martin Lindvall, Jesper Molin
Verification Staircase: a Design Strategy for Actionable Explanations. ExSS-ATEC@IUI (2020)
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
Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR (2018)
Martin Lindvall, Jesper Molin, Jonas Löwgren
From machine learning to machine teaching: the importance of UX. Interactions 25 (6) (2018)
Martin Lindvall, Jesper Molin, Jonas Löwgren
The Importance of UX for Machine Teaching. AAAI Spring Symposia (2018)
Henning Höfener, André Homeyer, Nick Weiss, Jesper Molin, Claes F. Lundström, Horst K. Hahn
Deep learning nuclei detection: A simple approach can deliver state-of-the-art results. Comput. Medical Imaging Graph. 70 (2018)
Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström
Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. CoRR (2016)
Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld
Understanding Design for Automated Image Analysis in Digital Pathology. NordiCHI (2016)
Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström
Towards grading gleason score using generically trained deep convolutional neural networks. ISBI (2016)
Jesper Molin, Kavitha Shaga Devan, Karin Wårdell, Claes Lundström
Feature-enhancing zoom to facilitate Ki-67 hot spot detection. Medical Imaging: Digital Pathology (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jesper Molin