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2020 – today
- 2024
[j21]Eva Klintström, Benjamin Klintström, Örjan Smedby, Rodrigo Moreno:
Automated region growing-based segmentation for trabecular bone structure in fresh-frozen human wrist specimens. BMC Medical Imaging 24(1): 101 (2024)- [i4]Jingru Fu, Simone Bendazzoli, Örjan Smedby, Rodrigo Moreno:
Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation. CoRR abs/2406.16848 (2024) - 2023
- [c39]Yu Zhou, Jingru Fu, Örjan Smedby, Rodrigo Moreno:
Synthesis of pediatric brain tumor images with mass effect. Medical Imaging: Image Processing 2023 - [i3]Mehdi Astaraki, Francesca De Benetti, Yousef Yeganeh, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang, Nassir Navab, Thomas Wendler:
AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection. CoRR abs/2305.12358 (2023) - [i2]Jingru Fu, Daniel Ferreira, Örjan Smedby, Rodrigo Moreno:
A deformation-based morphometry framework for disentangling Alzheimer's disease from normal aging using learned normal aging templates. CoRR abs/2311.08176 (2023) - 2022
- [j20]Mehdi Astaraki
, Örjan Smedby, Chunliang Wang:
Prior-aware autoencoders for lung pathology segmentation. Medical Image Anal. 80: 102491 (2022) - 2020
- [j19]Neeraj Kumar, Ruchika Verma, Deepak Anand, Yanning Zhou, Omer Fahri Onder, Efstratios Tsougenis, Hao Chen, Pheng-Ann Heng, Jiahui Li, Zhiqiang Hu, Yunzhi Wang, Navid Alemi Koohbanani, Mostafa Jahanifar, Neda Zamani Tajeddin, Ali Gooya, Nasir M. Rajpoot, Xuhua Ren, Sihang Zhou, Qian Wang, Dinggang Shen, Cheng-Kun Yang, Chi-Hung Weng, Wei-Hsiang Yu, Chao-Yuan Yeh, Shuang Yang, Shuoyu Xu, Pak-Hei Yeung, Peng Sun, Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang, Benjamin Chidester, That-Vinh Ton, Minh-Triet Tran, Jian Ma, Minh N. Do, Simon Graham, Quoc Dang Vu, Jin Tae Kwak, Akshaykumar Gunda, Raviteja Chunduri, Corey Hu, Xiaoyang Zhou, Dariush Lotfi, Reza Safdari, Antanas Kascenas, Alison O'Neil, Dennis Eschweiler, Johannes Stegmaier, Yanping Cui, Baocai Yin, Kailin Chen, Xinmei Tian, Philipp Grüning, Erhardt Barth, Elad Arbel, Itay Remer, Amir Ben-Dor, Ekaterina Sirazitdinova, Matthias Kohl, Stefan Braunewell, Yuexiang Li, Xinpeng Xie, Linlin Shen, Jun Ma, Krishanu Das Baksi, Mohammad Azam Khan, Jaegul Choo, Adrián Colomer, Valery Naranjo, Linmin Pei, Khan M. Iftekharuddin, Kaushiki Roy, Debotosh Bhattacharjee, Aníbal Pedraza, Maria Gloria Bueno, Sabarinathan Devanathan, Saravanan Radhakrishnan, Praveen Koduganty, Zihan Wu, Guanyu Cai, Xiaojie Liu, Yuqin Wang, Amit Sethi:
A Multi-Organ Nucleus Segmentation Challenge. IEEE Trans. Medical Imaging 39(5): 1380-1391 (2020)
2010 – 2019
- 2019
- [j18]Bharti Kataria, Jonas Nilsson Althén, Örjan Smedby, Anders Persson, Hannibal Sökjer, Michael Sandborg:
Image quality and pathology assessment in CT Urography: when is the low-dose series sufficient? BMC Medical Imaging 19(1): 64:1-64:9 (2019) - [j17]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [c38]Mehdi Astaraki, Chunliang Wang, Gabriel Carrizo, Iuliana Toma-Dasu, Örjan Smedby:
Multimodal Brain Tumor Segmentation with Normal Appearance Autoencoder. BrainLes@MICCAI (2) 2019: 316-323 - [c37]Amirreza Mahbod, Gerald Schaefer, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang:
A Two-Stage U-Net Algorithm for Segmentation of Nuclei in H&E-Stained Tissues. ECDP 2019: 75-82 - [c36]Mehdi Astaraki, Iuliana Toma-Dasu, Örjan Smedby, Chunliang Wang:
Normal Appearance Autoencoder for Lung Cancer Detection and Segmentation. MICCAI (6) 2019: 249-256 - [c35]Simone Bendazzoli, Irene Brusini, Peter Damberg, Örjan Smedby, Leif Andersson, Chunliang Wang:
Automatic rat brain segmentation from MRI using statistical shape models and random forest. Medical Imaging: Image Processing 2019: 109492O - [c34]Fengkai Wan, Örjan Smedby, Chunliang Wang:
Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution. Medical Imaging: Image Processing 2019: 1094909 - [i1]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - 2018
- [j16]Amirreza Mahbod, Manish Chowdhury, Örjan Smedby, Chunliang Wang:
Automatic brain segmentation using artificial neural networks with shape context. Pattern Recognit. Lett. 101: 74-79 (2018) - [c33]Amirreza Mahbod, Isabella Ellinger, Rupert Ecker, Örjan Smedby, Chunliang Wang:
Breast Cancer Histological Image Classification Using Fine-Tuned Deep Network Fusion. ICIAR 2018: 754-762 - [c32]Chunliang Wang, Bryan Connolly, Pedro Filipe de Oliveira Lopes, Alejandro F. Frangi, Örjan Smedby:
Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation. MSKI@MICCAI 2018: 49-57 - 2017
- [c31]Chunliang Wang, Örjan Smedby:
Automatic Whole Heart Segmentation Using Deep Learning and Shape Context. STACOM@MICCAI 2017: 242-249 - [c30]Manish Chowdhury, Daniel Jörgens, Chunliang Wang, Örjan Smedby, Rodrigo Moreno:
Segmentation of cortical bone using fast level sets. Medical Imaging: Image Processing 2017: 1013327 - [c29]Kristína Lidayová, Anindya Gupta, Hans Frimmel, Ida-Maria Sintorn, Ewert Bengtsson, Örjan Smedby:
Classification of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks. MIUA 2017: 182-194 - [c28]Benjamin Klintström, Eva Klintström, Örjan Smedby, Rodrigo Moreno:
Feature Space Clustering for Trabecular Bone Segmentation. SCIA (2) 2017: 65-75 - [c27]Kristína Lidayová, Duván Alberto Gómez Betancur, Hans Frimmel, Marcela Hernández Hoyos, Maciej Orkisz, Örjan Smedby:
Airway-Tree Segmentation in Subjects with Acute Respiratory Distress Syndrome. SCIA (2) 2017: 76-87 - [c26]Manish Chowdhury, Benjamin Klintström, Eva Klintström, Örjan Smedby, Rodrigo Moreno:
Granulometry-Based Trabecular Bone Segmentation. SCIA (2) 2017: 100-108 - [p2]Chunliang Wang, Örjan Smedby:
Multiorgan Segmentation Using Coherent Propagating Level Set Method Guided by Hierarchical Shape Priors and Local Phase Information. Cloud-Based Benchmarking of Medical Image Analysis 2017: 165-183 - 2016
- [j15]Kristina Lidayova, Hans Frimmel, Chunliang Wang, Ewert Bengtsson, Örjan Smedby:
Fast vascular skeleton extraction algorithm. Pattern Recognit. Lett. 76: 67-75 (2016) - [j14]Olivier Bernard, Johan G. Bosch, Brecht Heyde, Martino Alessandrini, Daniel Barbosa, Sorina Camarasu-Pop, Frederic Cervenansky, Sébastien Valette, Oana Mirea, Michel Bernier, Pierre-Marc Jodoin, Jaime Santo Domingos, Richard V. Stebbing, Kevin Keraudren, Ozan Oktay, Jose Caballero, Wei Shi, Daniel Rueckert, Fausto Milletari, Seyed-Ahmad Ahmadi, Erik Smistad, Frank Lindseth, Maartje van Stralen, Chen Wang, Örjan Smedby, Erwan Donal, Mark Monaghan, Alex Papachristidis, Marcel L. Geleijnse, Elena Galli, Jan D'hooge:
Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography. IEEE Trans. Medical Imaging 35(4): 967-977 (2016) - [c25]Manish Chowdhury, Samuel Rota Bulò, Rodrigo Moreno, Malay Kumar Kundu, Örjan Smedby:
An efficient radiographic Image Retrieval system using Convolutional Neural Network. ICPR 2016: 3134-3139 - [c24]Rodrigo Moreno, Örjan Smedby:
Vesselness estimation through higher-order orientation tensors. ISBI 2016: 1139-1142 - [c23]Daniel Jörgens, Örjan Smedby, Rodrigo Moreno:
Steering second-order tensor voting by vote clustering. ISBI 2016: 1245-1248 - [c22]Chunliang Wang, Qian Wang, Örjan Smedby:
Automatic Heart and Vessel Segmentation Using Random Forests and a Local Phase Guided Level Set Method. RAMBO+HVSMR@MICCAI 2016: 159-164 - [c21]Filipe M. M. Marreiros, Chunliang Wang, Sandro Rossitti, Örjan Smedby:
Non-rigid point set registration of curves: registration of the superficial vessel centerlines of the brain. Medical Imaging: Image-Guided Procedures 2016: 978611 - 2015
- [j13]Malin Andersson, Karl Jägervall, Per Eriksson, Anders Persson, Göran Granerus, Chunliang Wang, Örjan Smedby:
How to measure renal artery stenosis - a retrospective comparison of morphological measurement approaches in relation to hemodynamic significance. BMC Medical Imaging 15: 42 (2015) - [j12]S. Ehsan Saffari, Áskell Löve, Mats Fredrikson, Örjan Smedby:
Regression models for analyzing radiological visual grading studies - an empirical comparison. BMC Medical Imaging 15: 49 (2015) - [j11]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, Ali R. Khan, Fedde van der Lijn, Qaiser Mahmood, Ryan Mukherjee, Annegreet van Opbroek, Sahil Paneri, Sérgio Pereira, Mikael Persson, Martin Rajchl, Duygu Sarikaya, Örjan Smedby, Carlos A. Silva, Henri A. Vrooman, Saurabh Vyas, Chunliang Wang, Liang Zhao, Geert Jan Biessels, Max A. Viergever:
MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans. Comput. Intell. Neurosci. 2015: 813696:1-813696:16 (2015) - [j10]Rodrigo Moreno, Örjan Smedby:
Gradient-based enhancement of tubular structures in medical images. Medical Image Anal. 26(1): 19-29 (2015) - [c20]Kristina Lidayova, Joakim Lindblad, Natasa Sladoje, Hans Frimmel, Chunliang Wang, Örjan Smedby:
Coverage segmentation of 3D thin structures. IPTA 2015: 23-28 - [c19]Chunliang Wang, Örjan Smedby:
Multi-organ Segmentation Using Shape Model Guided Local Phase Analysis. MICCAI (3) 2015: 149-156 - 2014
- [c18]Rodrigo Moreno, Örjan Smedby:
Volume-Based Fabric Tensors through Lattice-Boltzmann Simulations. ICPR 2014: 3179-3184 - [c17]Chunliang Wang, Örjan Smedby:
Automatic Multi-organ Segmentation in Non-enhanced CT Datasets Using Hierarchical Shape Priors. ICPR 2014: 3327-3332 - [c16]Filipe M. M. Marreiros, Örjan Smedby:
GPU-based ray-casting of non-rigid deformations: a comparison between direct and indirect approaches. SIGRAD 2014: 67-74 - [c15]Filipe M. M. Marreiros, Örjan Smedby:
Mirror Stereoscopic Display for Direct Volume Rendering. SIGRAD 2014: 75-82 - [p1]Rodrigo Moreno, Magnus Borga, Örjan Smedby:
Techniques for Computing Fabric Tensors: A Review. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data 2014: 271-292 - 2013
- [j9]Filipe M. M. Marreiros, Örjan Smedby:
Single-Monitor-Mirror Stereoscopic Display. J. Graph. Tools 17(3): 85-97 (2013) - [c14]Filipe M. M. Marreiros, Örjan Smedby:
Stereoscopic static depth perception of enclosed 3D objects. SAP 2013: 15-22 - [c13]Filipe M. M. Marreiros, Sandro Rossitti, Chunliang Wang, Örjan Smedby:
Non-rigid Deformation Pipeline for Compensation of Superficial Brain Shift. MICCAI (2) 2013: 141-148 - [c12]Rodrigo Moreno, Chunliang Wang, Örjan Smedby:
Vessel Wall Segmentation Using Implicit Models and Total Curvature Penalizers. SCIA 2013: 299-308 - 2012
- [j8]Mari Hänni, Olli-Pekka Leppänen, Örjan Smedby:
Postangioplasty Restenosis Followed with Magnetic Resonance Imaging in an Atherosclerotic Rabbit Model. Int. J. Biomed. Imaging 2012: 747264:1-747264:8 (2012) - [c11]Rodrigo Moreno, Magnus Borga, Örjan Smedby:
Evaluation of the plate-rod model assumption of trabecular bone. ISBI 2012: 470-473 - [c10]Rodrigo Moreno, Magnus Borga, Örjan Smedby:
Estimation of trabecular thickness in gray-scale images through granulometric analysis. Medical Imaging: Image Processing 2012: 831451 - 2011
- [c9]Rodrigo Moreno, Örjan Smedby, Magnus Borga:
Soft classification of trabeculae in trabecular bone. ISBI 2011: 1641-1644 - [c8]Chunliang Wang, Hans Frimmel, Örjan Smedby:
Level-set based vessel segmentation accelerated with periodic monotonic speed function. Medical Imaging: Image Processing 2011: 79621M - 2010
- [j7]Chunliang Wang, Örjan Smedby:
Integrating automatic and interactive methods for coronary artery segmentation: let the PACS workstation think ahead. Int. J. Comput. Assist. Radiol. Surg. 5(3): 275-285 (2010) - [j6]Chunliang Wang, Felix Ritter, Örjan Smedby:
Making the PACS workstation a browser of image processing software: a feasibility study using inter-process communication techniques. Int. J. Comput. Assist. Radiol. Surg. 5(4): 411-419 (2010)
2000 – 2009
- 2009
- [j5]Michiel Schaap, Coert Metz, Theo van Walsum, Alina G. van der Giessen, Annick C. Weustink, Nico Mollet, Christian Bauer, Hrvoje Bogunovic, Carlos Castro-Gonzalez, Xiang Deng, Engin Dikici, Thomas O'Donnell, Michel Frenay, Ola Friman, Marcela Hernández Hoyos, Pieter H. Kitslaar, Karl Krissian, Caroline Kühnel, Miguel A. Luengo-Oroz, Maciej Orkisz, Örjan Smedby, Martin Styner, Andrzej Szymczak, Hüseyin Tek, Chunliang Wang, Simon K. Warfield, Sebastian Zambal, Yong Zhang, Gabriel P. Krestin, Wiro J. Niessen:
Standardized evaluation methodology and reference database for evaluating coronary artery centerline extraction algorithms. Medical Image Anal. 13(5): 701-714 (2009) - 2008
- [j4]Chunliang Wang, Hans Frimmel, Anders Persson, Örjan Smedby:
An interactive software module for visualizing coronary arteries in CT angiography. Int. J. Comput. Assist. Radiol. Surg. 3(1-2): 11-18 (2008) - [c7]Olof Dahlqvist Leinhard, Andreas Johansson, Joakim Rydell, Örjan Smedby, Fredrik Nyström, Peter Lundberg, Magnus Borga:
Quantitative abdominal fat estimation using MRI. ICPR 2008: 1-4 - 2007
- [c6]Chunliang Wang, Örjan Smedby:
Coronary Artery Segmentation and Skeletonization Based on Competing Fuzzy Connectedness Tree. MICCAI (1) 2007: 311-318 - [c5]Frida Hernell, Anders Ynnerman, Örjan Smedby:
A Blending Technique for Enhanced Depth Perception in Medical X-Ray Vision Applications. MMVR 2007: 176-178 - 2006
- [j3]Anders Persson, Nils Dahlström, Örjan Smedby, Torkel B. Brismar:
Three-dimensional drip infusion CT cholangiography in patients with suspected obstructive biliary disease: a retrospective analysis of feasibility and adverse reaction to contrast material. BMC Medical Imaging 6: 1 (2006) - [c4]Björn Svensson, Mats T. Andersson, Örjan Smedby, Hans Knutsson:
Efficient 3-D adaptive filtering for medical image enhancement. ISBI 2006: 996-999 - [c3]Joel Petersson, Torkel B. Brismar, Örjan Smedby:
Analysis of Skeletal Microstructure with Clinical Multislice CT. MICCAI (2) 2006: 880-887 - 2004
- [c2]Örjan Smedby, Karin Edsborg, John Henriksson:
Color-coded depth information in volume-rendered magnetic resonance angiography. Medical Imaging: Image-Guided Procedures 2004 - 2003
- [j2]Hannes Edvardson, Örjan Smedby:
Compact and efficient 3D shape description through radial function approximation. Comput. Methods Programs Biomed. 72(2): 89-97 (2003) - 2001
- [j1]Ingela Nyström, Örjan Smedby:
Skeletonization of Volumetric Vascular Images - Distance Information Utilized for Visualization. J. Comb. Optim. 5(1): 27-41 (2001)
1990 – 1999
- 1999
- [c1]Ingela Nyström, Örjan Smedby:
Analysis of magnetic resonance angiography images using skeletonization and distance transforms. Discrete Mathematical Problems with Medical Applications 1999: 75-89
Coauthor Index
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