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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Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical... von Olczak, Jakub, Pavlopoulos, John, Prijs, Jasper, Ijpma, Frank F A, Doornberg, Job N, Lundström, Claes, Hedlund, Joel, Gordon, Max

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Integrated Diagnostics: The Computational Revolution Catalyzing Cross-disciplinary Practices in Radiology, Pathology, and Genomics von Lundström, Claes F, Gilmore, Hannah L, Ros, Pablo R

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Measuring Domain Shift for Deep Learning in Histopathology von Stacke, Karin, Eilertsen, Gabriel, Unger, Jonas, Lundstrom, Claes

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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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Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology von Pocevičiūtė, Milda, Eilertsen, Gabriel, Jarkman, Sofia, Lundström, Claes

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Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training von Stadler, Caroline Bivik, Lindvall, Martin, Lundström, Claes, Bodén, Anna, Lindman, Karin, Rose, Jeronimo, Treanor, Darren, Blomma, Johan, Stacke, Karin, Pinchaud, Nicolas, Hedlund, Martin, Landgren, Filip, Woisetschläger, Mischa, Forsberg, Daniel

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State-of-the-art of visualization in post-mortem imaging von LUNDSTRÖM, CLAES, PERSSON, ANDERS, ROSS, STEFFEN, LJUNG, PATRIC, LINDHOLM, STEFAN, GYLLENSVÄRD, FRIDA, YNNERMAN, ANDERS

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Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging von Lundström, Claes, Lindvall, Martin

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Automated quantification of steatosis: agreement with stereological point counting von Homeyer, André, Nasr, Patrik, Engel, Christiane, Kechagias, Stergios, Lundberg, Peter, Ekstedt, Mattias, Kost, Henning, Weiss, Nick, Palmer, Tim, Hahn, Horst Karl, Treanor, Darren, Lundström, Claes

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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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Interactive Visualization of 3D Histopathology in Native Resolution von Falk, Martin, Ynnerman, Anders, Treanor, Darren, Lundstrom, Claes

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Survey of XAI in Digital Pathology von Pocevičiūtė, Milda, Eilertsen, Gabriel, Lundström, Claes

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A Design Study Investigating Augmented Reality and Photograph Annotation in a Digitalized Grossing Workstation von Chow, Joyce A., E. Törnros, Martin, Waltersson, Marie, Richard, Helen, Kusoffsky, Madeleine, Lundström, Claes F., Kurti, Arianit

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TissueWand, a Rapid Histopathology Annotation Tool von LindvaN, Martin, Sanner, Alexander, Petre, Fredrik, Lindman, Karin, Treanor, Darren, Lundstrbm, Claes, Ldwgren, Jonas

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Key insights in the AIDA community policy on sharing of clinical imaging data for research in Sweden von Hedlund, Joel, Eklund, Anders, Lundström, Claes

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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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Summary of the 4th Nordic Symposium on Digital Pathology von Lundstrbm, Claes, Waltersson, Marie, Persson, Anders, Treanor, Darren

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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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Unsupervised Anomaly Detection In Digital Pathology Using GANs von Pocevičiūtė, Milda, Eilertsen, Gabriel, Lundström, Claes

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