Analysis of magnetic resonance angiography images using skeletonization and distance transforms. - Ingela Nyström; Örjan Smedby (Discrete Mathematical Problems with Medical Applications, 1999)

Skeletonization of Volumetric Vascular Images - Distance Information Utilized for Visualization. - Ingela Nyström; Örjan Smedby (J. Comb. Optim., 2001)

Compact and efficient 3D shape description through radial function approximation. - Hannes Edvardson; Örjan Smedby (Comput. Methods Programs Biomed., 2003)

Color-coded depth information in volume-rendered magnetic resonance angiography. - Örjan Smedby; Karin Edsborg; John Henriksson (Image-Guided Procedures, 2004)

Efficient 3-D adaptive filtering for medical image enhancement. - Björn Svensson; Mats T. Andersson; Örjan Smedby; Hans Knutsson (ISBI, 2006)

Analysis of Skeletal Microstructure with Clinical Multislice CT. - Joel Petersson; Torkel B. Brismar; Örjan Smedby (MICCAI (2), 2006)

Three-dimensional drip infusion CT cholangiography in patients with suspected obstructive biliary disease: a retrospective analysis of feasibility and adverse reaction to contrast material. - Anders Persson; Nils Dahlström; Örjan Smedby; Torkel B. Brismar (BMC Medical Imaging, 2006)

Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree. - Chunliang Wang; Örjan Smedby (MICCAI (1), 2007)

A Blending Technique for Enhanced Depth Perception in Medical X-Ray Vision Applications. - Frida Hernell; Anders Ynnerman; Örjan Smedby (MMVR, 2007)

Quantitative abdominal fat estimation using MRI. - Olof Dahlqvist Leinhard; Andreas Johansson; Joakim Rydell; Örjan Smedby; Fredrik Nyström; Peter Lundberg; Magnus Borga (ICPR, 2008)

An interactive software module for visualizing coronary arteries in CT angiography. - Chunliang Wang; Hans Frimmel; Anders Persson; Örjan Smedby (Int. J. Comput. Assist. Radiol. Surg., 2008)

Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. - Michiel Schaap; Coert Metz; Theo van Walsum; Alina G. van der Giessen; Annick C. Weustink; Nico Mollet; Christian Bauer 001; Hrvoje Bogunovic; Carlos Castro-Gonzalez; Xiang Deng; Engin Dikici; Thomas O'Donnell; et al. (Medical Image Anal., 2009)

Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques. - Chunliang Wang; Felix Ritter; Örjan Smedby (Int. J. Comput. Assist. Radiol. Surg., 2010)

Integrating automatic and interactive methods for coronary artery segmentation: let the PACS workstation think ahead. - Chunliang Wang; Örjan Smedby (Int. J. Comput. Assist. Radiol. Surg., 2010)

Soft classification of trabeculae in trabecular bone. - Rodrigo Moreno; Örjan Smedby; Magnus Borga (ISBI, 2011)

Level-set based vessel segmentation accelerated with periodic monotonic speed function. - Chunliang Wang; Hans Frimmel; Örjan Smedby (Image Processing, 2011)

Evaluation of the plate-rod model assumption of trabecular bone. - Rodrigo Moreno; Magnus Borga; Örjan Smedby (ISBI, 2012)

Estimation of trabecular thickness in gray-scale images through granulometric analysis. - Rodrigo Moreno; Magnus Borga; Örjan Smedby (Image Processing, 2012)

Postangioplasty Restenosis Followed with Magnetic Resonance Imaging in an Atherosclerotic Rabbit Model. - Mari Hänni; Olli-Pekka Leppänen; Örjan Smedby (Int. J. Biomed. Imaging, 2012)

Stereoscopic static depth perception of enclosed 3D objects. - Filipe M. M. Marreiros; Örjan Smedby (SAP, 2013)

Non-rigid Deformation Pipeline for Compensation of Superficial Brain Shift. - Filipe M. M. Marreiros; Sandro Rossitti; Chunliang Wang; Örjan Smedby (MICCAI (2), 2013)

Vessel Wall Segmentation Using Implicit Models and Total Curvature Penalizers. - Rodrigo Moreno; Chunliang Wang; Örjan Smedby (SCIA, 2013)

Single-Monitor-Mirror Stereoscopic Display. - Filipe M. M. Marreiros; Örjan Smedby (J. Graph. Tools, 2013)

Techniques for Computing Fabric Tensors: A Review. - Rodrigo Moreno; Magnus Borga; Örjan Smedby (Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014)

Volume-Based Fabric Tensors through Lattice-Boltzmann Simulations. - Rodrigo Moreno; Örjan Smedby (ICPR, 2014)

Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors. - Chunliang Wang; Örjan Smedby (ICPR, 2014)

GPU-based ray-casting of non-rigid deformations: a comparison between direct and indirect approaches. - Filipe M. M. Marreiros; Örjan Smedby (SIGRAD, 2014)

Mirror Stereoscopic Display for Direct Volume Rendering. - Filipe M. M. Marreiros; Örjan Smedby (SIGRAD, 2014)

Coverage segmentation of 3D thin structures. - Kristina Lidayova; Joakim Lindblad; Natasa Sladoje; Hans Frimmel; Chunliang Wang; Örjan Smedby (IPTA, 2015)

Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis. - Chunliang Wang; Örjan Smedby (MICCAI (3), 2015)

How to measure renal artery stenosis - a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance. - Malin Andersson; Karl Jägervall; Per Eriksson; Anders Persson; Göran Granerus; Chunliang Wang; Örjan Smedby (BMC Medical Imaging, 2015)

Regression models for analyzing radiological visual grading studies - an empirical comparison. - S. Ehsan Saffari; Áskell Löve; Mats Fredrikson; Örjan Smedby (BMC Medical Imaging, 2015)

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. - Adriënne M. Mendrik; Koen L. Vincken; Hugo J. Kuijf; Marcel Breeuwer; Willem H. Bouvy; Jeroen de Bresser; Amir Alansary; Marleen de Bruijne; Aaron Carass; Ayman El-Baz; Amod Jog; Ranveer Katyal; et al. (Comput. Intell. Neurosci., 2015)

Gradient-based enhancement of tubular structures in medical images. - Rodrigo Moreno; Örjan Smedby (Medical Image Anal., 2015)

An efficient radiographic Image Retrieval system using Convolutional Neural Network. - Manish Chowdhury; Samuel Rota Bulò; Rodrigo Moreno; Malay Kumar Kundu; Örjan Smedby (ICPR, 2016)

Steering second-order tensor voting by vote clustering. - Daniel Jörgens; Örjan Smedby; Rodrigo Moreno (ISBI, 2016)

Vesselness estimation through higher-order orientation tensors. - Rodrigo Moreno; Örjan Smedby (ISBI, 2016)

Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set Method. - Chunliang Wang; Qian Wang 001; Örjan Smedby (RAMBO+HVSMR@MICCAI, 2016)

Non-rigid point set registration of curves: registration of the superficial vessel centerlines of the brain. - Filipe M. M. Marreiros; Chunliang Wang; Sandro Rossitti; Örjan Smedby (Image-Guided Procedures, 2016)

Fast vascular skeleton extraction algorithm. - Kristina Lidayova; Hans Frimmel; Chunliang Wang; Ewert Bengtsson; Örjan Smedby (Pattern Recognit. Lett., 2016)

Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. - Olivier Bernard 001; Johan G. Bosch; Brecht Heyde; Martino Alessandrini; Daniel Barbosa 001; Sorina Camarasu-Pop; Frederic Cervenansky; Sébastien Valette; Oana Mirea; Michel Bernier; Pierre-Marc Jodoin; Jaime Santo Domingos; et al. (IEEE Trans. Medical Imaging, 2016)

Multiorgan Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information. - Chunliang Wang; Örjan Smedby (Cloud-Based Benchmarking of Medical Image Analysis, 2017)

Automatic Whole Heart Segmentation Using Deep Learning and Shape Context. - Chunliang Wang; Örjan Smedby (STACOM@MICCAI, 2017)

Segmentation of cortical bone using fast level sets. - Manish Chowdhury; Daniel Jörgens; Chunliang Wang; Örjan Smedby; Rodrigo Moreno (Image Processing, 2017)

Classification of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks. - Kristína Lidayová; Anindya Gupta; Hans Frimmel; Ida-Maria Sintorn; Ewert Bengtsson; Örjan Smedby (MIUA, 2017)

Granulometry-Based Trabecular Bone Segmentation. - Manish Chowdhury; Benjamin Klintström; Eva Klintström; Örjan Smedby; Rodrigo Moreno (SCIA (2), 2017)

Feature Space Clustering for Trabecular Bone Segmentation. - Benjamin Klintström; Eva Klintström; Örjan Smedby; Rodrigo Moreno (SCIA (2), 2017)

Airway-Tree Segmentation in Subjects with Acute Respiratory Distress Syndrome. - Kristína Lidayová; Duván Alberto Gómez Betancur; Hans Frimmel; Marcela Hernández Hoyos; Maciej Orkisz; Örjan Smedby (SCIA (2), 2017)

Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion. - Amirreza Mahbod; Isabella Ellinger; Rupert Ecker; Örjan Smedby; Chunliang Wang (ICIAR, 2018)

Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation. - Chunliang Wang; Bryan Connolly; Pedro Filipe de Oliveira Lopes; Alejandro F. Frangi; Örjan Smedby (MSKI@MICCAI, 2018)

Automatic brain segmentation using artificial neural networks with shape context. - Amirreza Mahbod; Manish Chowdhury; Örjan Smedby; Chunliang Wang (Pattern Recognit. Lett., 2018)

Multimodal Brain Tumor Segmentation with Normal Appearance Autoencoder. - Mehdi Astaraki; Chunliang Wang; Gabriel Carrizo; Iuliana Toma-Dasu; Örjan Smedby (BrainLes@MICCAI (2), 2019)

A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues. - Amirreza Mahbod; Gerald Schaefer; Isabella Ellinger; Rupert Ecker; Örjan Smedby; Chunliang Wang (ECDP, 2019)

Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation. - Mehdi Astaraki; Iuliana Toma-Dasu; Örjan Smedby; Chunliang Wang (MICCAI (6), 2019)

Automatic rat brain segmentation from MRI using statistical shape models and random forest. - Simone Bendazzoli; Irene Brusini; Peter Damberg; Örjan Smedby; Leif Andersson; Chunliang Wang (Image Processing, 2019)

Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution. - Fengkai Wan; Örjan Smedby; Chunliang Wang (Image Processing, 2019)

Image quality and pathology assessment in CT Urography: when is the low-dose series sufficient? - Bharti Kataria; Jonas Nilsson Althén; Örjan Smedby; Anders Persson; Hannibal Sökjer; Michael Sandborg (BMC Medical Imaging, 2019)

Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (CoRR, 2019)

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. - Xiahai Zhuang; Lei Li 020; Christian Payer; Darko Stern; Martin Urschler; Mattias P. Heinrich; Julien Oster; Chunliang Wang; Örjan Smedby; Cheng Bian; Xin Yang 009; Pheng-Ann Heng; et al. (Medical Image Anal., 2019)

A Multi-Organ Nucleus Segmentation Challenge. - Neeraj Kumar 002; Ruchika Verma; Deepak Anand; Yanning Zhou 001; Omer Fahri Onder; Efstratios Tsougenis; Hao Chen 011; Pheng-Ann Heng; Jiahui Li 005; Zhiqiang Hu; Yunzhi Wang; Navid Alemi Koohbanani; et al. (IEEE Trans. Medical Imaging, 2020)

Prior-aware autoencoders for lung pathology segmentation. - Mehdi Astaraki; Örjan Smedby; Chunliang Wang (Medical Image Anal., 2022)

Synthesis of pediatric brain tumor images with mass effect. - Yu Zhou; Jingru Fu; Örjan Smedby; Rodrigo Moreno (Image Processing, 2023)

AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection. - Mehdi Astaraki; Francesca De Benetti; Yousef Yeganeh; Iuliana Toma-Dasu; Örjan Smedby; Chunliang Wang; Nassir Navab; Thomas Wendler 001 (CoRR, 2023)

A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates. - Jingru Fu; Daniel Ferreira 003; Örjan Smedby; Rodrigo Moreno (CoRR, 2023)

Efficient Generation of Synthetic Breast CT Slices By Combining Generative and Super-Resolution Models. - Zhikai Yang; Mehdi Astaraki; Örjan Smedby; Rodrigo Moreno (Deep-Breath@MICCAI, 2024)

Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation. - Jingru Fu; Simone Bendazzoli; Örjan Smedby; Rodrigo Moreno (CoRR, 2024)

Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens. - Eva Klintström; Benjamin Klintström; Örjan Smedby; Rodrigo Moreno (BMC Medical Imaging, 2024)

Automatic Segmentation of Bone Graft in Maxillary Sinus via Distance Constrained Network Guided by Prior Anatomical Knowledge. - Jiangchang Xu; Jie Gao; Shuanglin Jiang; Chunliang Wang; Örjan Smedby; Yiqun Wu; Xiaoyi Jiang 001; Xiaojun Chen 003 (IEEE J. Biomed. Health Informatics, 2025)