Claes Lundström

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 24

Top Venues

Linköping University, Sweden (PHD)

Education History

Linköping University, Sweden

PHD

Publications

Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström
Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. CoRR (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)
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)
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)
Claes Lundström, Martin Lindvall
Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging. J. Digit. Imaging 36 (2) (2023)
Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman
Visualization Challenges of Variant Interpretation in Multiscale NGS Data. EuroVis (Posters) (2022)
Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström
Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? CoRR (2021)
Martin Lindvall, Claes Lundström, Jonas Löwgren
Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI. IUI (2021)
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
Unsupervised anomaly detection in digital pathology using GANs. CoRR (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) (2021)
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
Unsupervised Anomaly Detection In Digital Pathology Using GANs. ISBI (2021)
Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen
Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. CoRR (2021)
Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger
Ensembles of GANs for synthetic training data generation. CoRR (2021)
Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
Measuring Domain Shift for Deep Learning in Histopathology. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Karin Stacke, Claes Lundström, Gabriel Eilertsen
Evaluation of Contrastive Predictive Coding for Histopathology Applications. ML4H@NeurIPS (2020)
Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
Survey of XAI in digital pathology. CoRR (2020)
Martin Falk, Patric Ljung, Claes Lundström, Anders Ynnerman, Ingrid Hotz
Feature Exploration using Local Frequency Distributions in Computed Tomography Data. VCBM (2020)
Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
A Closer Look at Domain Shift for Deep Learning in Histopathology. CoRR (2019)
Martin Falk, Anders Ynnerman, Darren Treanor, Claes Lundström
Interactive Visualization of 3D Histopathology in Native Resolution. IEEE Trans. Vis. Comput. Graph. 25 (1) (2019)
Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundström
Transfer Function design toolbox for full-color volume datasets. PacificVis (2017)
Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström
Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. CoRR (2016)
Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld
Understanding Design for Automated Image Analysis in Digital Pathology. NordiCHI (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) (2016)
Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström
Towards grading gleason score using generically trained deep convolutional neural networks. ISBI (2016)
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)
Daniel Forsberg, Claes Lundström, Hans Knutsson
Eigenspine: Computing the correlation between measures describing vertebral pose for patients with adolescent idiopathic scoliosis. Comput. Medical Imaging Graph. 38 (7) (2014)
Stefan Lindholm, Daniel Forsberg, Anders Ynnerman, Hans Knutsson, Mats T. Andersson, Claes Lundström
Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest. VCBM (2014)
Jesper Molin, Kavitha Shaga Devan, Karin Wårdell, Claes Lundström
Feature-enhancing zoom to facilitate Ki-67 hot spot detection. Medical Imaging: Digital Pathology (2014)
Claes Lundström
vPSNR: a visualization-aware image fidelity metric tailored for diagnostic imaging. Int. J. Comput. Assist. Radiol. Surg. 8 (3) (2013)
Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström
Targeted Iterative Filtering. SSVM (2013)
Claes Lundström, Anders Persson
Characterizing Visual Analytics in Diagnostic Imaging. EuroVA@EuroVis (2011)
Daniel Forsberg, Claes Lundström, Mats T. Andersson, Hans Knutsson
Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes. SCIA (2011)
Claes Lundström, Thomas Rydell, Camilla Forsell, Anders Persson, Anders Ynnerman
Multi-Touch Table System for Medical Visualization: Application to Orthopedic Surgery Planning. IEEE Trans. Vis. Comput. Graph. 17 (12) (2011)
Isabella Scandurra, Camilla Forsell, Anders Ynnerman, Patric Ljung, Claes Lundström, Anders Persson
Advancing the State-of-the-Art for Virtual Autopsies - Initial Forensic Workflow Study. MedInfo (2010)
Stefan Lindholm, Patric Ljung, Claes Lundström, Anders Persson, Anders Ynnerman
Spatial Conditioning of Transfer Functions Using Local Material Distributions. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)
Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman
Forensic Virtual Autopsies by Direct Volume Rendering [DSP Applications]. IEEE Signal Process. Mag. 24 (6) (2007)
Claes Lundström, Patric Ljung, Anders Persson, Anders Ynnerman
Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation. IEEE Trans. Vis. Comput. Graph. 13 (6) (2007)
Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman
Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline. IEEE Trans. Vis. Comput. Graph. 12 (5) (2006)
Claes Lundström, Anders Ynnerman, Patric Ljung, Anders Persson, Hans Knutsson
The alpha -histogram: Using Spatial Coherence to Enhance Histograms and Transfer Function Design. EuroVis (2006)
Karljohan Lundin, Claes Lundström, Matthew Cooper, Anders Ynnerman
Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation. VG@SIGGRAPH (2006)
Patric Ljung, Claes Lundström, Anders Ynnerman
Multiresolution Interblock Interpolation in Direct Volume Rendering. EuroVis (2006)
Claes Lundström, Patric Ljung, Anders Ynnerman
Multi-Dimensional Transfer Function Design Using Sorted Histograms. VG@SIGGRAPH (2006)
Claes Lundström, Patric Ljung, Anders Ynnerman
Local Histograms for Design of Transfer Functions in Direct Volume Rendering. IEEE Trans. Vis. Comput. Graph. 12 (6) (2006)
Claes Lundström, Patric Ljung, Anders Ynnerman
Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms. EuroVis (2005)
Patric Ljung, Claes Lundström, Anders Ynnerman, Ken Museth
Transfer Function Based Adaptive Decompression for Volume Rendering of Large Medical Data Sets. VolVis (2004)

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Publication Activity (10 Years)

Top Topics

Top Venues

Claes Lundström