Jesper Molin - RankMe

16 papers Misc 1Journal 8Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data. IEEE Trans. Vis. Comput. Graph. Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman
2024	J	`jnl`	Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data. Comput. Graph. Forum Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
2023	J	`jnl`	The thorny complexities of visualization research for clinical settings: A case study from genomics. Frontiers Bioinform. Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
2022	—	`conf`	Visualization Challenges of Variant Interpretation in Multiscale NGS Data. EuroVis (Posters) Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman
2021	—	`conf`	Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology. Digital Pathology Freja Fagerblom, Karin Stacke, Jesper Molin
2020	J	`jnl`	Designing for the Long Tail of Machine Learning. CoRR Martin Lindvall, Jesper Molin
2020	—	`conf`	Verification Staircase: a Design Strategy for Actionable Explanations. ExSS-ATEC@IUI Martin Lindvall, Jesper Molin
2018	J	`jnl`	Deep learning nuclei detection: A simple approach can deliver state-of-the-art results. Comput. Medical Imaging Graph. Henning Höfener, André Homeyer, Nick Weiss, Jesper Molin, Claes F. Lundström, Horst K. Hahn
2018	J	`jnl`	From machine learning to machine teaching: the importance of UX. Interactions Martin Lindvall, Jesper Molin, Jonas Löwgren
2018	J	`jnl`	Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge. CoRR 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
2018	—	`conf`	The Importance of UX for Machine Teaching. AAAI Spring Symposia Martin Lindvall, Jesper Molin, Jonas Löwgren
2016	—	`—`	Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use. Jesper Molin
2016	J	`jnl`	Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. CoRR Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström
2016	—	`conf`	Towards grading gleason score using generically trained deep convolutional neural networks. ISBI Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström
2016	Misc	`conf`	Understanding Design for Automated Image Analysis in Digital Pathology. NordiCHI Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld
2014	—	`conf`	Feature-enhancing zoom to facilitate Ki-67 hot spot detection. Digital Pathology Jesper Molin, Kavitha Shaga Devan, Karin Wårdell, Claes Lundström