The thorny complexities of visualization research for clinical settings: A case study from genomics von Ståhlbom, Emilia, Molin, Jesper, Ynnerman, Anders, Lundström, Claes

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Improving the creation and reporting of structured findings during digital pathology review von Cervin, Ida, Molin, Jesper, Lundström, Claes

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Training Nuclei Detection Algorithms with Simple Annotations von Kost, Henning, Homeyer, André, Molin, Jesper, Lundström, Claes, Hahn, Horst Karl

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A comparative study of input devices for digital slide navigation von Molin, Jesper, Lundström, Claes, Fjeld, Morten

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Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data von Stahlbom, Emilia, Molin, Jesper, Lundstrom, Claes, Ynnerman, Anders

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Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data von Ståhlbom, E., Molin, J., Ynnerman, A., Lundström, C.

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Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge von Veta, Mitko, Heng, Yujing J., Stathonikos, Nikolas, Bejnordi, Babak Ehteshami, Beca, Francisco, Wollmann, Thomas, Rohr, Karl, Shah, Manan A., Wang, Dayong, Rousson, Mikael, Hedlund, Martin, Tellez, David, Ciompi, Francesco, Zerhouni, Erwan, Lanyi, David, Viana, Matheus, Kovalev, Vassili, Liauchuk, Vitali, Phoulady, Hady Ahmady, Qaiser, Talha, Graham, Simon, Rajpoot, Nasir, Sjöblom, Erik, Molin, Jesper, Paeng, Kyunghyun, Hwang, Sangheum, Park, Sunggyun, Jia, Zhipeng, Chang, Eric I-Chao, Xu, Yan, Beck, Andrew H., van Diest, Paul J., Pluim, Josien P.W.

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Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 von Thorstenson, Sten, Molin, Jesper, Lundström, Claes

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Deep learning nuclei detection: A simple approach can deliver state-of-the-art results von Höfener, Henning, Homeyer, André, Weiss, Nick, Molin, Jesper, Lundström, Claes F., Hahn, Horst K.

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Combatting out-of-distribution errors using model-agnostic meta-learning for digital pathology von Fagerblom, Freja, Stacke, Karin, Molin, Jesper

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The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice von Bodén, Anna C S, Molin, Jesper, Garvin, Stina, West, Rebecca A, Lundström, Claes, Treanor, Darren

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Slide navigation patterns among pathologists with long experience of digital review von Molin, Jesper, Fjeld, Morten, Mello-Thoms, Claudia, Lundström, Claes

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Towards Grading Gleason Score using Generically Trained Deep convolutional Neural Networks von Källén, Hanna, Molin, Jesper, Heyden, Anders, Lundström, Claes, Åström, Karl

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VIEWER SYSTEMS AND RELATED METHODS WITH MULTI-PIECE REGISTRATION von Molin, Jesper

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VIEWER SYSTEMS AND RELATED METHODS WITH MULTI-PIECE REGISTRATION von MOLIN, Jesper

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Diagnostic Review with Digital Pathology: Design of digitals tools for routine diagnostic use von Molin, Jesper

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Feature-enhancing zoom to facilitate Ki-67 hot spot detection von Molin, Jesper, Shaga Devan, K., Wårdell, K., Lundström, Claes

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Implementation of large‑scale routine diagnostics using whole slideimaging in Sweden: Digital pathology experiences 2006-2013 von Thorstenson, Sten, Molin, Jesper, Lundström, Claes

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Designing for the Long Tail of Machine Learning von Lindvall, Martin, Molin, Jesper

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VIEWERS AND RELATED METHODS, SYSTEMS AND CIRCUITS WITH PATCH GALLERY USER INTERFACES FOR MEDICAL MICROSCOPY von MOLIN, Jesper, LUNDSTRÖM, Claes

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