The Comparative Pathology Workbench: Interactive visual analytics for biomedical data

[1]  Y. Tsang,et al.  CD, or not CD, that is the question: a digital interobserver agreement study in coeliac disease , 2024, BMJ open gastroenterology.

[2]  Lori A. Coburn,et al.  A Roadmap for the Human Gut Cell Atlas , 2023, Nature Reviews Gastroenterology & Hepatology.

[3]  D. Meyerholz,et al.  Concerns about pathology expertise and data quality , 2023, The Journal of pathology.

[4]  R. Baldock,et al.  Towards a clinically-based common coordinate framework for the human gut cell atlas: the gut models , 2022, bioRxiv.

[5]  M. Arends,et al.  Multiple-instance-learning-based detection of coeliac disease in histological whole-slide images , 2022, Journal of pathology informatics.

[6]  D. Adams,et al.  Primary de‐differentiated, trans‐differentiated and undifferentiated melanomas: overview of the clinicopathological, immunohistochemical and molecular spectrum , 2021, Histopathology.

[7]  Joseph P Houghton,et al.  The clinicopathologic spectrum and genomic landscape of de-/trans-differentiated melanoma , 2021, Modern Pathology.

[8]  K. Wiedemeyer,et al.  Update on the pathology, genetics and somatic landscape of sebaceous tumours , 2019, Histopathology.

[9]  C. Bakal,et al.  ALPK1 hotspot mutation as a driver of human spiradenoma and spiradenocarcinoma , 2019, Nature Communications.

[10]  Paula M. Mabee,et al.  The human body at cellular resolution: the NIH Human Biomolecular Atlas Program , 2019, Nature.

[11]  I. Martincorena,et al.  Cross-species genomic landscape comparison of human mucosal melanoma with canine oral and equine melanoma , 2019, Nature Communications.

[12]  R. Guigó Faculty Opinions recommendation of The digital slide archive: A software platform for management, integration, and analysis of histology for cancer research. , 2018, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.

[13]  Sanghoon Lee,et al.  The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research. , 2017, Cancer research.

[14]  Richard K. Ferguson,et al.  Image Data Resource: a bioimage data integration and publication platform , 2017, Nature Methods.

[15]  Peter Bankhead,et al.  QuPath: Open source software for digital pathology image analysis , 2017, Scientific Reports.

[16]  Daniel A. Keim,et al.  Visual analytics for the big data era — A comparative review of state-of-the-art commercial systems , 2012, 2012 IEEE Conference on Visual Analytics Science and Technology (VAST).

[17]  Jeffrey Heer,et al.  Design Considerations for Collaborative Visual Analytics , 2007, 2007 IEEE Symposium on Visual Analytics Science and Technology.

[18]  Marc Levoy,et al.  Spreadsheets for images , 1994, SIGGRAPH.

[19]  Stuart K. Card,et al.  The cost structure of sensemaking , 1993, INTERCHI.

[20]  OUP accepted manuscript , 2021, Nucleic Acids Research.

[21]  P. Pirolli,et al.  The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis , 2015 .

[22]  M. Sheelagh T. Carpendale,et al.  Visualization Viewpoints , 2002 .