Transfer Function Based Adaptive Decompression for Volume Rendering of Large Medical Data Sets. - Patric Ljung; Claes Lundström; Anders Ynnerman; Ken Museth (VolVis, 2004)

Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms. - Claes Lundström; Patric Ljung; Anders Ynnerman (EuroVis, 2005)

Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation. - Karljohan Lundin; Claes Lundström; Matthew Cooper 001; Anders Ynnerman (VG@SIGGRAPH, 2006)

Multi-Dimensional Transfer Function Design Using Sorted Histograms. - Claes Lundström; Patric Ljung; Anders Ynnerman (VG@SIGGRAPH, 2006)

Multiresolution Interblock Interpolation in Direct Volume Rendering. - Patric Ljung; Claes Lundström; Anders Ynnerman (EuroVis, 2006)

The alpha -histogram: Using Spatial Coherence to Enhance Histograms and Transfer Function Design. - Claes Lundström; Anders Ynnerman; Patric Ljung; Anders Persson; Hans Knutsson (EuroVis, 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)

Local Histograms for Design of Transfer Functions in Direct Volume Rendering. - Claes Lundström; Patric Ljung; Anders Ynnerman (IEEE Trans. Vis. Comput. Graph., 2006)

Forensic Virtual Autopsies by Direct Volume Rendering [DSP Applications]. - Patric Ljung; Calle Winskog; Anders Persson; Claes Lundström; Anders Ynnerman (IEEE Signal Process. Mag., 2007)

Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation. - Claes Lundström; Patric Ljung; Anders Persson; Anders Ynnerman (IEEE Trans. Vis. Comput. Graph., 2007)

Efficient Medical Volume Visualization : An Approach Based on Domain Knowledge. - Claes Lundström (2007)

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 (MedInfo, 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)

Characterizing Visual Analytics in Diagnostic Imaging. - Claes Lundström; Anders Persson (EuroVA@EuroVis, 2011)

Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes. - Daniel Forsberg; Claes Lundström; Mats T. Andersson; Hans Knutsson (SCIA, 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)

Targeted Iterative Filtering. - Freddie Åström; Michael Felsberg; George Baravdish; Claes Lundström (SSVM, 2013)

vPSNR: a visualization-aware image fidelity metric tailored for diagnostic imaging. - Claes Lundström (Int. J. Comput. Assist. Radiol. Surg., 2013)

Feature-enhancing zoom to facilitate Ki-67 hot spot detection. - Jesper Molin; Kavitha Shaga Devan; Karin Wårdell; Claes Lundström (Digital Pathology, 2014)

Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest. - Stefan Lindholm; Daniel Forsberg; Anders Ynnerman; Hans Knutsson; Mats T. Andersson; Claes Lundström (VCBM, 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)

Multi-Touch Table System for Medical Visualization. - Anders Ynnerman; Thomas Rydell; Anders Persson; Aron Ernvik; Camilla Forsell; Patric Ljung; Claes Lundström (Eurographics (Dirk Bartz Prize), 2015)

Towards grading gleason score using generically trained deep convolutional neural networks. - Hanna Källén; Jesper Molin; Anders Heyden; Claes Lundström; Kalle Åström (ISBI, 2016)

Understanding Design for Automated Image Analysis in Digital Pathology. - Jesper Molin; Pawel W. Wozniak; Claes Lundström; Darren Treanor; Morten Fjeld (NordiCHI, 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)

Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. - Jesper Molin; Anna Bodén; Darren Treanor; Morten Fjeld; Claes Lundström (CoRR, 2016)

Transfer Function design toolbox for full-color volume datasets. - Martin Falk; Ingrid Hotz; Patric Ljung; Darren Treanor; Anders Ynnerman; Claes Lundström (PacificVis, 2017)

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)

A Closer Look at Domain Shift for Deep Learning in Histopathology. - Karin Stacke; Gabriel Eilertsen; Jonas Unger; Claes Lundström (CoRR, 2019)

Interactive Visualization of 3D Histopathology in Native Resolution. - Martin Falk; Anders Ynnerman; Darren Treanor; Claes Lundström (IEEE Trans. Vis. Comput. Graph., 2019)

Evaluation of Contrastive Predictive Coding for Histopathology Applications. - Karin Stacke; Claes Lundström; Gabriel Eilertsen (ML4H@NeurIPS, 2020)

Feature Exploration using Local Frequency Distributions in Computed Tomography Data. - Martin Falk; Patric Ljung; Claes Lundström; Anders Ynnerman; Ingrid Hotz (VCBM, 2020)

Survey of XAI in digital pathology. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (CoRR, 2020)

Survey of XAI in Digital Pathology. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (AI and ML for Digital Pathology, 2020)

Unsupervised Anomaly Detection In Digital Pathology Using GANs. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (ISBI, 2021)

Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI. - Martin Lindvall; Claes Lundström; Jonas Löwgren (IUI, 2021)

Ensembles of GANs for synthetic training data generation. - Gabriel Eilertsen; Apostolia Tsirikoglou; Claes Lundström; Jonas Unger (CoRR, 2021)

Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. - Karin Stacke; Jonas Unger; Claes Lundström; Gabriel Eilertsen (CoRR, 2021)

Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? - Milda Poceviciute; Gabriel Eilertsen; Sofia Jarkman; Claes Lundström (CoRR, 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; et al. (J. Digit. Imaging, 2021)

Measuring Domain Shift for Deep Learning in Histopathology. - Karin Stacke; Gabriel Eilertsen; Jonas Unger; Claes Lundström (IEEE J. Biomed. Health Informatics, 2021)

Visualization Challenges of Variant Interpretation in Multiscale NGS Data. - Emilia Ståhlbom; Jesper Molin; Claes Lundström; Anders Ynnerman (EuroVis (Posters), 2022)

Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. - Milda Poceviciute; Gabriel Eilertsen; Stina Garvin; Claes Lundström (MICCAI (5), 2023)

Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation. - Milda Poceviciute; Gabriel Eilertsen; Claes Lundström (Digital and Computational Pathology, 2023)

Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging. - Claes Lundström; Martin Lindvall (J. Digit. Imaging, 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., 2023)

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)

Multipla: Multiscale Pangenomic Locus Analysis. - Astrid van den Brandt; Emilia Ståhlbom; Fredericus Johannes Maria van Workum; Huub van de Wetering; Claes Lundström; Sandra Smit; Anna Vilanova (Comput. Graph. Forum, 2025)

Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study. - Haiko Schurz; Klara Solander; Davida Åström; Fernando Cossío; Taeyang Choi; Magnus Dustler; Claes Lundström; Håkan Gustafsson; Sophia Zackrisson; Fredrik Strand (npj Digit. Medicine, 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., 2025)

Validation of Conformal Prediction in Cervical Atypia Classification. - Misgina Tsighe Hagos; Antti Suutala; Dmitrii Bychkov; Hakan Kücükel; Joar von Bahr; Milda Poceviciute; Johan Lundin; Nina Linder; Claes Lundström (CoRR, 2025)