Claes Lundström

56 papers A 1B 5Misc 1Journal 29Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Least-Ambiguous Multi-Label Classifier. ICTAI Misgina Tsighe Hagos, Claes Lundström
2025	J	`jnl`	Least-Ambiguous Multi-Label Classifier. CoRR Misgina Tsighe Hagos, Claes Lundström
2025	J	`jnl`	Multipla: Multiscale Pangenomic Locus Analysis. Comput. Graph. Forum Astrid van den Brandt, Emilia Ståhlbom, Fredericus Johannes Maria van Workum, Huub van de Wetering, Claes Lundström, Sandra Smit, Anna Vilanova
2025	J	`jnl`	Performance of Conformal Prediction in Capturing Aleatoric Uncertainty. CoRR Misgina Tsighe Hagos, Claes Lundström
2025	J	`jnl`	Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study. npj Digit. Medicine Haiko Schurz, Klara Solander, Davida Åström, Fernando Cossío, Taeyang Choi, Magnus Dustler, Claes Lundström, Håkan Gustafsson, Sophia Zackrisson, Fredrik Strand
2025	J	`jnl`	Validation of Conformal Prediction in Cervical Atypia Classification. CoRR Misgina Tsighe Hagos, Antti Suutala, Dmitrii Bychkov, Hakan Kücükel, Joar von Bahr, Milda Poceviciute, Johan Lundin, Nina Linder, Claes Lundström
2025	J	`jnl`	Visualization for Diagnostic Review of Copy Number Variants in Complex DNA Sequencing Data. IEEE Trans. Vis. Comput. Graph. Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman
2024	J	`jnl`	Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. CoRR Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström
2024	J	`jnl`	Should I make it round? Suitability of circular and linear layouts for comparative tasks with matrix and connective data. Comput. Graph. Forum Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
2023	—	`conf`	Detecting Domain Shift in Multiple Instance Learning for Digital Pathology Using Fréchet Domain Distance. MICCAI (5) Milda Poceviciute, Gabriel Eilertsen, Stina Garvin, Claes Lundström
2023	—	`ed.`	Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2023, Norrköping, Sweden, September 20-22, 2023 VCBM Claes Lundström, Daniel Jönsson, Ingrid Hotz, Martin Falk
2023	J	`jnl`	Mapping the Landscape of Care Providers' Quality Assurance Approaches for AI in Diagnostic Imaging. J. Digit. Imaging Claes Lundström, Martin Lindvall
2023	—	`conf`	Spatial uncertainty aggregation for false negatives detection in breast cancer metastases segmentation. Digital and Computational Pathology Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
2023	J	`jnl`	The thorny complexities of visualization research for clinical settings: A case study from genomics. Frontiers Bioinform. Emilia Ståhlbom, Jesper Molin, Anders Ynnerman, Claes Lundström
2022	—	`conf`	Visualization Challenges of Variant Interpretation in Multiscale NGS Data. EuroVis (Posters) Emilia Ståhlbom, Jesper Molin, Claes Lundström, Anders Ynnerman
2021	J	`jnl`	Can uncertainty boost the reliability of AI-based diagnostic methods in digital pathology? CoRR Milda Poceviciute, Gabriel Eilertsen, Sofia Jarkman, Claes Lundström
2021	J	`jnl`	Ensembles of GANs for synthetic training data generation. CoRR Gabriel Eilertsen, Apostolia Tsirikoglou, Claes Lundström, Jonas Unger
2021	J	`jnl`	Learning Representations with Contrastive Self-Supervised Learning for Histopathology Applications. CoRR Karin Stacke, Jonas Unger, Claes Lundström, Gabriel Eilertsen
2021	J	`jnl`	Measuring Domain Shift for Deep Learning in Histopathology. IEEE J. Biomed. Health Informatics Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
2021	J	`jnl`	Proactive Construction of an Annotated Imaging Database for Artificial Intelligence Training. J. Digit. Imaging 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
2021	A	`conf`	Rapid Assisted Visual Search: Supporting Digital Pathologists with Imperfect AI. IUI Martin Lindvall, Claes Lundström, Jonas Löwgren
2021	—	`conf`	Unsupervised Anomaly Detection In Digital Pathology Using GANs. ISBI Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
2021	J	`jnl`	Unsupervised anomaly detection in digital pathology using GANs. CoRR Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
2020	—	`conf`	Evaluation of Contrastive Predictive Coding for Histopathology Applications. ML4H@NeurIPS Karin Stacke, Claes Lundström, Gabriel Eilertsen
2020	—	`conf`	Feature Exploration using Local Frequency Distributions in Computed Tomography Data. VCBM Martin Falk, Patric Ljung, Claes Lundström, Anders Ynnerman, Ingrid Hotz
2020	—	`ch.`	Survey of XAI in Digital Pathology. AI and ML for Digital Pathology Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
2020	J	`jnl`	Survey of XAI in digital pathology. CoRR Milda Poceviciute, Gabriel Eilertsen, Claes Lundström
2019	J	`jnl`	A Closer Look at Domain Shift for Deep Learning in Histopathology. CoRR Karin Stacke, Gabriel Eilertsen, Jonas Unger, Claes Lundström
2019	J	`jnl`	Interactive Visualization of 3D Histopathology in Native Resolution. IEEE Trans. Vis. Comput. Graph. Martin Falk, Anders Ynnerman, Darren Treanor, Claes Lundström
2017	B	`conf`	Transfer Function design toolbox for full-color volume datasets. PacificVis Martin Falk, Ingrid Hotz, Patric Ljung, Darren Treanor, Anders Ynnerman, Claes Lundström
2016	J	`jnl`	CT scan range estimation using multiple body parts detection: let PACS learn the CT image content. Int. J. Comput. Assist. Radiol. Surg. Chunliang Wang, Claes Lundström
2016	J	`jnl`	Scale Stain: Multi-Resolution Feature Enhancement in Pathology Visualization. CoRR Jesper Molin, Anna Bodén, Darren Treanor, Morten Fjeld, Claes Lundström
2016	—	`conf`	Towards grading gleason score using generically trained deep convolutional neural networks. ISBI Hanna Källén, Jesper Molin, Anders Heyden, Claes Lundström, Kalle Åström
2016	Misc	`conf`	Understanding Design for Automated Image Analysis in Digital Pathology. NordiCHI Jesper Molin, Pawel W. Wozniak, Claes Lundström, Darren Treanor, Morten Fjeld
2015	—	`conf`	Multi-Touch Table System for Medical Visualization. Eurographics (Dirk Bartz Prize) Anders Ynnerman, Thomas Rydell, Anders Persson, Aron Ernvik, Camilla Forsell, Patric Ljung, Claes Lundström
2014	J	`jnl`	Eigenspine: Computing the correlation between measures describing vertebral pose for patients with adolescent idiopathic scoliosis. Comput. Medical Imaging Graph. Daniel Forsberg, Claes Lundström, Hans Knutsson
2014	—	`conf`	Feature-enhancing zoom to facilitate Ki-67 hot spot detection. Digital Pathology Jesper Molin, Kavitha Shaga Devan, Karin Wårdell, Claes Lundström
2014	—	`conf`	Towards Clinical Deployment of Automated Anatomical Regions-Of-Interest. VCBM Stefan Lindholm, Daniel Forsberg, Anders Ynnerman, Hans Knutsson, Mats T. Andersson, Claes Lundström
2013	—	`conf`	Targeted Iterative Filtering. SSVM Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström
2013	J	`jnl`	vPSNR: a visualization-aware image fidelity metric tailored for diagnostic imaging. Int. J. Comput. Assist. Radiol. Surg. Claes Lundström
2011	—	`conf`	Characterizing Visual Analytics in Diagnostic Imaging. EuroVA@EuroVis Claes Lundström, Anders Persson
2011	—	`conf`	Model-Based Transfer Functions for Efficient Visualization of Medical Image Volumes. SCIA Daniel Forsberg, Claes Lundström, Mats T. Andersson, Hans Knutsson
2011	J	`jnl`	Multi-Touch Table System for Medical Visualization: Application to Orthopedic Surgery Planning. IEEE Trans. Vis. Comput. Graph. Claes Lundström, Thomas Rydell, Camilla Forsell, Anders Persson, Anders Ynnerman
2010	—	`conf`	Advancing the State-of-the-Art for Virtual Autopsies - Initial Forensic Workflow Study. MedInfo Isabella Scandurra, Camilla Forsell, Anders Ynnerman, Patric Ljung, Claes Lundström, Anders Persson
2010	J	`jnl`	Spatial Conditioning of Transfer Functions Using Local Material Distributions. IEEE Trans. Vis. Comput. Graph. Stefan Lindholm, Patric Ljung, Claes Lundström, Anders Persson, Anders Ynnerman
2007	—	`—`	Efficient Medical Volume Visualization : An Approach Based on Domain Knowledge. Claes Lundström
2007	J	`jnl`	Forensic Virtual Autopsies by Direct Volume Rendering [DSP Applications]. IEEE Signal Process. Mag. Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman
2007	J	`jnl`	Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation. IEEE Trans. Vis. Comput. Graph. Claes Lundström, Patric Ljung, Anders Persson, Anders Ynnerman
2006	—	`conf`	Enabling Haptic Interaction with Volumetric MRI Data Through Knowledge-based Tissue Separation. VG@SIGGRAPH Karljohan Lundin, Claes Lundström, Matthew Cooper, Anders Ynnerman
2006	J	`jnl`	Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline. IEEE Trans. Vis. Comput. Graph. Patric Ljung, Calle Winskog, Anders Persson, Claes Lundström, Anders Ynnerman
2006	J	`jnl`	Local Histograms for Design of Transfer Functions in Direct Volume Rendering. IEEE Trans. Vis. Comput. Graph. Claes Lundström, Patric Ljung, Anders Ynnerman
2006	—	`conf`	Multi-Dimensional Transfer Function Design Using Sorted Histograms. VG@SIGGRAPH Claes Lundström, Patric Ljung, Anders Ynnerman
2006	B	`conf`	Multiresolution Interblock Interpolation in Direct Volume Rendering. EuroVis Patric Ljung, Claes Lundström, Anders Ynnerman
2006	B	`conf`	The alpha -histogram: Using Spatial Coherence to Enhance Histograms and Transfer Function Design. EuroVis Claes Lundström, Anders Ynnerman, Patric Ljung, Anders Persson, Hans Knutsson
2005	B	`conf`	Extending and Simplifying Transfer Function Design in Medical Volume Rendering Using Local Histograms. EuroVis Claes Lundström, Patric Ljung, Anders Ynnerman
2004	—	`conf`	Transfer Function Based Adaptive Decompression for Volume Rendering of Large Medical Data Sets. VolVis Patric Ljung, Claes Lundström, Anders Ynnerman, Ken Museth