• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 51 matches

• 2024
• 
  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)
• 
  Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström:
  Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. CoRR abs/2405.09934 (2024)
• 2023
• 
  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)
• 
  Claes Lundström, Martin Lindvall:
  Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging. J. Digit. Imaging 36(2): 379-387 (2023)
• 
  Govind Saraswat, Blake Lundstrom, Murti V. Salapaka:
  Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring. ISGT 2023: 1-5
• 
  Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström:
  Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. MICCAI (5) 2023: 157-167
• 
  Claes Lundström, Daniel Jönsson, Ingrid Hotz, Martin Falk:
  VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine, Norrköping, Sweden, September 20-22, 2023. Eurographics Association 2023, ISBN 978-3-03868-216-5 [contents]
• 2022
• 
  Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman:
  Visualization Challenges of Variant Interpretation in Multiscale NGS Data. EuroVis (Posters) 2022: 107-109
• 
  Govind Saraswat, Blake Lundstrom, Murti V. Salapaka:
  Scalable Hybrid Classification-Regression Solution for High-Frequency Nonintrusive Load Monitoring. CoRR abs/2208.10638 (2022)
• 2021
• 
  Caroline Bivik Stadler, Martin Lindvall, Claes Lundström, Anna Bodén, Karin Lindman, Jeronimo Rose, Darren Treanor, Johan Blomma, Karin Stacke, Nicolas Pinchaud, Martin Hedlund, Filip Landgren, Mischa Woisetschläger, Daniel Forsberg:
  Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. J. Digit. Imaging 34(1): 105-115 (2021)
• 
  Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
  Measuring Domain Shift for Deep Learning in Histopathology. IEEE J. Biomed. Health Informatics 25(2): 325-336 (2021)
• 
  Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
  Unsupervised Anomaly Detection In Digital Pathology Using GANs. ISBI 2021: 1878-1882
• 
  Martin Lindvall, Claes Lundström, Jonas Löwgren:
  Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI. IUI 2021: 504-513
• 
  Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
  Unsupervised anomaly detection in digital pathology using GANs. CoRR abs/2103.08945 (2021)
• 
  Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger:
  Ensembles of GANs for synthetic training data generation. CoRR abs/2104.11797 (2021)
• 
  Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen:
  Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. CoRR abs/2112.05760 (2021)
• 
  Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström:
  Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? CoRR abs/2112.09693 (2021)
• 2020
• 
  Karin Stacke, Claes Lundström, Gabriel Eilertsen:
  Evaluation of Contrastive Predictive Coding for Histopathology Applications. ML4H@NeurIPS 2020: 328-340
• 
  Martin Falk, Patric Ljung, Claes Lundström, Anders Ynnerman, Ingrid Hotz:
  Feature Exploration using Local Frequency Distributions in Computed Tomography Data. VCBM 2020: 13-24
• 
  Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
  Survey of XAI in Digital Pathology. AI and ML for Digital Pathology 2020: 56-88
• 
  Milda Poceviciute, Gabriel Eilertsen, Claes Lundström:
  Survey of XAI in digital pathology. CoRR abs/2008.06353 (2020)
• 2019
• 
  Martin Falk, Anders Ynnerman, Darren Treanor, Claes Lundström:
  Interactive Visualization of 3D Histopathology in Native Resolution. IEEE Trans. Vis. Comput. Graph. 25(1): 1008-1017 (2019)
• 
  Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström:
  A Closer Look at Domain Shift for Deep Learning in Histopathology. CoRR abs/1909.11575 (2019)
• 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: 43-52 (2018)
• 2017
• 
  Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundström:
  Transfer Function design toolbox for full-color volume datasets. PacificVis 2017: 171-179
• 2016
• 
  Chunliang Wang, Claes Lundström:
  CT scan range estimation using multiple body parts detection: let PACS learn the CT image content. Int. J. Comput. Assist. Radiol. Surg. 11(2): 317-325 (2016)
• 
  Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström:
  Towards grading gleason score using generically trained deep convolutional neural networks. ISBI 2016: 1163-1167
• 
  Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld:
  Understanding Design for Automated Image Analysis in Digital Pathology. NordiCHI 2016: 58
• 
  Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström:
  Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. CoRR abs/1610.04141 (2016)
• 2015
• 
  Anders Ynnerman, Thomas Rydell, Anders Persson, Aron Ernvik, Camilla Forsell, Patric Ljung, Claes Lundström:
  Multi-Touch Table System for Medical Visualization. Eurographics (Dirk Bartz Prize) 2015: 9-12

skipping 21 more matches