Claes Lundström

According to our database, Claes Lundström authored at least 48 papers between 2004 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data.

Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman

IEEE Trans. Vis. Comput. Graph., April, 2025

2024

Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data.

Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström

Comput. Graph. Forum, 2024

2023

The thorny complexities of visualization research for clinical settings: A case study from genomics.

Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström

Frontiers Bioinform., May, 2023

Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging.

Claes Lundström, Martin Lindvall

J. Digit. Imaging, April, 2023

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance.

Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Visualization Challenges of Variant Interpretation in Multiscale NGS Data.

Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman

Proceedings of the 24th Eurographics Conference on Visualization, 2022

2021

Measuring Domain Shift for Deep Learning in Histopathology.

Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

IEEE J. Biomed. Health Informatics, 2021

Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training.

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

J. Digit. Imaging, 2021

Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology?

Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström

CoRR, 2021

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications.

Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen

CoRR, 2021

Ensembles of GANs for synthetic training data generation.

Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger

CoRR, 2021

Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI.

Martin Lindvall, Claes Lundström, Jonas Löwgren

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Unsupervised Anomaly Detection In Digital Pathology Using GANs.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

Survey of XAI in Digital Pathology.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

AI and ML for Digital Pathology, 2020

Survey of XAI in digital pathology.

Milda Poceviciute, Gabriel Eilertsen, Claes Lundström

CoRR, 2020

Feature Exploration using Local Frequency Distributions in Computed Tomography Data.

Martin Falk, Patric Ljung, Claes Lundström, Anders Ynnerman, Ingrid Hotz

Proceedings of the 10th Eurographics Workshop on Visual Computing for Biology and Medicine, 2020

Evaluation of Contrastive Predictive Coding for Histopathology Applications.

Karin Stacke, Claes Lundström, Gabriel Eilertsen

Proceedings of the Machine Learning for Health Workshop, 2020

2019

Interactive Visualization of 3D Histopathology in Native Resolution.

Martin Falk, Anders Ynnerman, Darren Treanor, Claes Lundström

IEEE Trans. Vis. Comput. Graph., 2019

A Closer Look at Domain Shift for Deep Learning in Histopathology.

Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström

CoRR, 2019

2018

Deep learning nuclei detection: A simple approach can deliver state-of-the-art results.

Henning Höfener, André Homeyer, Nick Weiss, Jesper Molin, Claes F. Lundström, Horst K. Hahn

Comput. Medical Imaging Graph., 2018

2017

Transfer Function design toolbox for full-color volume datasets.

Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundström

Proceedings of the 2017 IEEE Pacific Visualization Symposium, 2017

2016

Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization.

Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström

CoRR, 2016

CT scan range estimation using multiple body parts detection: let PACS learn the CT image content.

Chunliang Wang, Claes Lundström

Int. J. Comput. Assist. Radiol. Surg., 2016

Understanding Design for Automated Image Analysis in Digital Pathology.

Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld

Proceedings of the 9th Nordic Conference on Human-Computer Interaction, Gothenburg, Sweden, October 23, 2016

Towards grading gleason score using generically trained deep convolutional neural networks.

Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

Multi-Touch Table System for Medical Visualization.

Anders Ynnerman, Thomas Rydell, Anders Persson, Aron Ernvik, Camilla Forsell, Patric Ljung, Claes Lundström

Proceedings of the 36th Annual Conference of the European Association for Computer Graphics, 2015

2014

Eigenspine: Computing the correlation between measures describing vertebral pose for patients with adolescent idiopathic scoliosis.

Daniel Forsberg, Claes Lundström, Hans Knutsson

Comput. Medical Imaging Graph., 2014

Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest.

Stefan Lindholm, Daniel Forsberg, Anders Ynnerman, Hans Knutsson, Mats T. Andersson, Claes Lundström

Proceedings of the Eurographics Workshop on Visual Computing for Biology and Medicine, 2014

Feature-enhancing zoom to facilitate Ki-67 hot spot detection.

Jesper Molin, Kavitha Shaga Devan, Karin Wårdell, Claes Lundström

Proceedings of the Medical Imaging 2014: Digital Pathology, 2014

2013

vPSNR: a visualization-aware image fidelity metric tailored for diagnostic imaging.

Claes Lundström

Int. J. Comput. Assist. Radiol. Surg., 2013

Targeted Iterative Filtering.

Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2011

Multi-Touch Table System for Medical Visualization: Application to Orthopedic Surgery Planning.

Claes Lundström, Thomas Rydell, Camilla Forsell, Anders Persson, Anders Ynnerman

IEEE Trans. Vis. Comput. Graph., 2011

Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes.

Daniel Forsberg, Claes Lundström, Mats T. Andersson, Hans Knutsson

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011

Characterizing Visual Analytics in Diagnostic Imaging.

Claes Lundström, Anders Persson

Proceedings of the 2nd International EuroVis Workshop on Visual Analytics, 2011

2010

Spatial Conditioning of Transfer Functions Using Local Material Distributions.

Stefan Lindholm, Patric Ljung, Claes Lundström, Anders Persson, Anders Ynnerman

IEEE Trans. Vis. Comput. Graph., 2010

Advancing the State-of-the-Art for Virtual Autopsies - Initial Forensic Workflow Study.

Isabella Scandurra, Camilla Forsell, Anders Ynnerman, Patric Ljung, Claes Lundström, Anders Persson

Proceedings of the MEDINFO 2010, 2010

2007

Efficient Medical Volume Visualization : An Approach Based on Domain Knowledge.

Claes Lundström

PhD thesis, 2007

Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation.

Claes Lundström, Patric Ljung, Anders Persson, Anders Ynnerman

IEEE Trans. Vis. Comput. Graph., 2007

Forensic Virtual Autopsies by Direct Volume Rendering [DSP Applications].

Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman

IEEE Signal Process. Mag., 2007

2006

Local Histograms for Design of Transfer Functions in Direct Volume Rendering.

Claes Lundström, Patric Ljung, Anders Ynnerman

IEEE Trans. Vis. Comput. Graph., 2006

Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline.

Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman

IEEE Trans. Vis. Comput. Graph., 2006

The alpha -histogram: Using Spatial Coherence to Enhance Histograms and Transfer Function Design.

Claes Lundström, Anders Ynnerman, Patric Ljung, Anders Persson, Hans Knutsson

Proceedings of the 8th Joint Eurographics - IEEE VGTC Symposium on Visualization, 2006

Multiresolution Interblock Interpolation in Direct Volume Rendering.

Patric Ljung, Claes Lundström, Anders Ynnerman

Proceedings of the 8th Joint Eurographics - IEEE VGTC Symposium on Visualization, 2006

Multi-Dimensional Transfer Function Design Using Sorted Histograms.

Claes Lundström, Patric Ljung, Anders Ynnerman

Proceedings of the 5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, 2006

Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation.

Karljohan Lundin, Claes Lundström, Matthew Cooper, Anders Ynnerman

Proceedings of the 5th Eurographics / IEEE VGTC International Workshop on Volume Graphics, 2006

2005

Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms.

Claes Lundström, Patric Ljung, Anders Ynnerman

Proceedings of the 7th Joint Eurographics, 2005

2004

Transfer Function Based Adaptive Decompression for Volume Rendering of Large Medical Data Sets.

Patric Ljung, Claes Lundström, Anders Ynnerman, Ken Museth

Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics, 2004