Institution · Sectra (Sweden)
Most cited papers from Sectra (Sweden)
What are the most cited papers from Sectra (Sweden)?
The most cited paper from Sectra (Sweden) is "Medical image processing on the GPU – Past, present and future" (Anders Eklund, Paul A. Dufort, Daniel Forsberg et al., 2013), with 408 citations. Next come "Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge" (329) and "Measuring Domain Shift for Deep Learning in Histopathology" (317).
Showing 50 of 60 papers. Every paper with more than 19 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Medical image processing on the GPU – Past, present and future Anders Eklund, Paul A. Dufort, Daniel Forsberg et al. · Medical Image Analysis | 5 Jun 2013 | 408 |
| 2 | Predicting breast tumor proliferation from whole-slide images: The TUPAC16 challenge Mitko Veta et al. · Medical Image Analysis | 27 Feb 2019 | 329 |
| 3 | Measuring Domain Shift for Deep Learning in Histopathology Karin Stacke, Gabriel Eilertsen, Jonas Unger et al. · IEEE Journal of Biomedical and Health Informatics | 21 Oct 2020 | 317 |
| 4 | Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 Sten Thorstenson, Jesper Molin, Claes F. Lundström · Journal of Pathology Informatics | 2014 | 179 |
| 5 | Generating patient specific pseudo-CT of the head from MR using atlas-based regression Jens Sjölund, Daniel Forsberg, Manne Andersson et al. · Physics in Medicine and Biology | 7 Jan 2015 | 165 |
| 6 | Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation Claes F. Lundström, Patric Ljung, Anders Persson et al. · IEEE Transactions on Visualization and Computer Graphics | Nov 2007 | 140 |
| 7 | A multi-center milestone study of clinical vertebral CT segmentation Jianhua Yao, Joseph E. Burns, Daniel Forsberg et al. · Computerized Medical Imaging and Graphics | 2 Jan 2016 | 138 |
| 8 | Local Histograms for Design of Transfer Functions in Direct Volume Rendering Claes F. Lundström, Patric Ljung, Anders Ynnerman · IEEE Transactions on Visualization and Computer Graphics | 21 Sep 2006 | 129 |
| 9 | Detection and Labeling of Vertebrae in MR Images Using Deep Learning with Clinical Annotations as Training Data Daniel Forsberg, Erik Sjöblom, Jeffrey L. Sunshine · Journal of Imaging Informatics in Medicine | 12 Jan 2017 | 108 |
| 10 | Energy resolution of a photon-counting silicon strip detector Erik Fredenberg, Mats A. Lundqvist, Björn Cederström et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment | 4 Nov 2009 | 100 |
| 11 | Physical characterization of a scanning photon counting digital mammography system based on Si‐strip detectors Magnus Åslund, Björn Cederström, Mats A. Lundqvist et al. · Medical Physics | 8 May 2007 | 95 |
| 12 | Adalimumab therapy reduces hand bone loss in early rheumatoid arthritis: explorative analyses from the PREMIER study Mari Hoff, Tore Kristian Kvien, Johan Kälvesten et al. · Annals of the Rheumatic Diseases | 19 Sep 2008 | 93 |
| 13 | Deep learning nuclei detection: A simple approach can deliver state-of-the-art results Henning Höfener, André Homeyer, Nick Weiss et al. · Computerized Medical Imaging and Graphics | 17 Sep 2018 | 92 |
| 14 | Contrast‐enhanced spectral mammography with a photon‐counting detector Erik Fredenberg, Magnus Hemmendorff, Björn Cederström et al. · Medical Physics | 12 Apr 2010 | 91 |
| 15 | Scatter rejection in multislit digital mammography Magnus Åslund, Björn Cederström, Mats A. Lundqvist et al. · Medical Physics | 17 Mar 2006 | 90 |
| 16 | Full Body Virtual Autopsies using a State-of-the-art Volume Rendering Pipeline Patric Ljung, Calle Winskog, Anders Persson et al. · IEEE Transactions on Visualization and Computer Graphics | Sep 2006 | 80 |
| 17 | Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge Guoyan Zheng et al. · Medical Image Analysis | 25 Aug 2016 | 76 |
| 18 | Towards grading gleason score using generically trained deep convolutional neural networks H.L.A. van der Kallen, Jesper Molin, Anders Heyden et al. | Apr 2016 | 73 |
| 19 | Guideline for RSA and CT-RSA implant migration measurements: an update of standardizations and recommendations Bart L. Kaptein, Bart G. Pijls, Lennard A. Koster et al. · Acta Orthopaedica | 30 May 2024 | 65 |
| 20 | Exploiting Bro for Intrusion Detection in a SCADA System Robert Udd, Mikael Asplund, Simin Nadjm‐Tehrani et al. | 24 May 2016 | 57 |
| 21 | Automated multi-atlas segmentation of cardiac 4D flow MRI Mariana Bustamante, Vikas Gupta, Daniel Forsberg et al. · Medical Image Analysis | 13 Aug 2018 | 56 |
| 22 | State‐of‐the‐art of visualization in post‐mortem imaging Claes F. Lundström, Anders Persson, Steffen G. Ross et al. · Apmis | 19 Mar 2012 | 49 |
| 23 | Transfer function based adaptive decompression for volume rendering of large medical data sets Patric Ljung, Claes F. Lundström, Anders Ynnerman et al. | 11 Oct 2004 | 48 |
| 24 | Adalimumab reduces hand bone loss in rheumatoid arthritis independent of clinical response: Subanalysis of the PREMIER study Mari Hoff, Tore K. Kvien, Johan Kälvesten et al. · BMC Musculoskeletal Disorders | 27 Feb 2011 | 48 |
| 25 | Phase-based multidimensional volume registration Magnus Hemmendorff, Mats Andersson, T. Kronander et al. · IEEE Transactions on Medical Imaging | Dec 2002 | 47 |
| 26 | Multiresolution Interblock Interpolation in Direct Volume Rendering Patric Ljung, Claes F. Lundström, Anders Ynnerman | 2006 | 47 |
| 27 | Low-dose CT-based implant motion analysis is a precise tool for early migration measurements of hip cups: a clinical study of 24 patients Cyrus Brodén, Olof Sandberg, Olof Gustaf Sköldenberg et al. · Acta Orthopaedica | 14 Feb 2020 | 46 |
| 28 | The human‐in‐the‐loop: an evaluation of pathologists’ interaction with artificial intelligence in clinical practice Anna Bodén, Jesper Molin, Stina Garvin et al. · Histopathology | 16 Feb 2021 | 45 |
| 29 | Detectors for the future of X-ray imaging Magnus Åslund, Erik Fredenberg, M. Telman et al. · Radiation Protection Dosimetry | 5 Mar 2010 | 43 |
| 30 | Survey of XAI in Digital Pathology Milda Pocevičiūtė, Gabriel Eilertsen, Claes Lundström · Lecture notes in computer science | 2020 | 42 |
| 31 | Single-shot dual-energy subtraction mammography with electronic spectrum splitting: Feasibility Hans Bornefalk, John Lewin, Mats E. Danielsson et al. · European Journal of Radiology | 18 Oct 2006 | 42 |
| 32 | Digital X-ray radiogrammetry in the study of osteoporotic fractures: Comparison to dual energy X-ray absorptiometry and FRAX Johan Kälvesten, Li‐Yung Lui, Torkel B. Brismar et al. · Bone | 25 Feb 2016 | 40 |
| 33 | Precision of CT-based micromotion analysis is comparable to radiostereometry for early migration measurements in cemented acetabular cups Cyrus Brodén, Olof Sandberg, Henrik Olivecrona et al. · Acta Orthopaedica | 6 Apr 2021 | 39 |
| 34 | Generalization of Deep Learning in Digital Pathology: Experience in Breast Cancer Metastasis Detection Sofia Jarkman, Micael Karlberg, Milda Pocevičiūtė et al. · Cancers | 3 Nov 2022 | 38 |
| 35 | Radiologists’ Variation of Time to Read Across Different Procedure Types Daniel Forsberg, Beverly Rosipko, Jeffrey L. Sunshine · Journal of Imaging Informatics in Medicine | 6 Oct 2016 | 35 |
| 36 | Fully automatic measurements of axial vertebral rotation for assessment of spinal deformity in idiopathic scoliosis Daniel Forsberg, Claes F. Lundström, Mats Andersson et al. · Physics in Medicine and Biology | 26 Feb 2013 | 35 |
| 37 | Computerized Digital Imaging Techniques Provided by Digital X-ray Radiogrammetry as New Diagnostic Tool in Rheumatoid Arthritis Joachim Böttcher, Alexander Pfeil, Anders Rosholm et al. · Journal of Imaging Informatics in Medicine | 20 Apr 2006 | 35 |
| 38 | Computed tomography-based radiostereometric analysis in orthopedic research: practical guidelines Olof Sandberg, Johan Kärrholm, Henrik Olivecrona et al. · Acta Orthopaedica | 20 Jul 2023 | 32 |
| 39 | Annotations, Ontologies, and Whole Slide Images – Development of an Annotated Ontology-Driven Whole Slide Image Library of Normal and Abnormal Human Tissue Karin Lindman, Jeronimo Rose, Martin Lindvall et al. · Journal of Pathology Informatics | 2019 | 31 |
| 40 | User validation in ontology alignment: functional assessment and impact Huanyu Li, Zlatan Dragisic, Daniel Faria et al. · The Knowledge Engineering Review | 2019 | 29 |
| 41 | Digital X-ray radiogrammetry of hand or wrist radiographs can predict hip fracture risk—a study in 5,420 women and 2,837 men Michael L. Wilczek, Johan Kälvesten, J. Algulin et al. · European Radiology | 15 Nov 2012 | 29 |
| 42 | Interactive Visualization of 3D Histopathology in Native Resolution Martin Falk, Anders Ynnerman, Darren E. Treanor et al. · IEEE Transactions on Visualization and Computer Graphics | 20 Aug 2018 | 28 |
| 43 | Analyzing PACS Usage Patterns by Means of Process Mining: Steps Toward a More Detailed Workflow Analysis in Radiology Daniel Forsberg, Beverly Rosipko, Jeffrey L. Sunshine · Journal of Imaging Informatics in Medicine | 9 Sep 2015 | 28 |
| 44 | Short-Time In Vitro and In Vivo Precision of Direct Digital X-ray Radiogrammetry Mari Hoff, Alvilde Dhainaut, Tore Kristian Kvien et al. · Journal of Clinical Densitometry | 14 Dec 2008 | 28 |
| 45 | Mapping the Landscape of Care Providers’ Quality Assurance Approaches for AI in Diagnostic Imaging Claes F. Lundström, Martin Lindvall · Journal of Imaging Informatics in Medicine | 9 Nov 2022 | 27 |
| 46 | Rapid Assisted Visual Search Martin Lindvall, Claes F. Lundström, Jonas Löwgren | 14 Apr 2021 | 27 |
| 47 | Accuracy and precision of a CT method for assessing migration in shoulder arthroplasty: an experimental study Cyrus Brodén, Joshua William Giles, Ravi Popat et al. · Acta Radiologica | 4 Nov 2019 | 27 |
| 48 | Atlas-Based Registration for Accurate Segmentation of Thoracic and Lumbar Vertebrae in CT Data Daniel Forsberg · Lecture notes in computational vision and biomechanics | 2015 | 26 |
| 49 | Generalisation effects of predictive uncertainty estimation in deep learning for digital pathology Milda Pocevičiūtė, Gabriel Eilertsen, Sofia Jarkman et al. · Scientific Reports | 18 May 2022 | 25 |
| 50 | Early changes in bone mineral density measured by digital X-ray radiogrammetry predict up to 20 years radiological outcome in rheumatoid arthritis Meliha Crnkic Kapetanovic, Elisabet Lindqvist, Jakob Algulin et al. · Arthritis Research & Therapy | Feb 2011 | 25 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.