Prof. Örjan Smedby Profile

Prof. Örjan Smedby

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Publications (21)

SPIE Journal Paper | 9 July 2024 Open Access

Lung vessel connectivity map as anatomical prior knowledge for deep learning-based lung lobe segmentation

Simone Bendazzoli, Emelie Bäcklin, Örjan Smedby, Birgitta Janerot-Sjoberg, Bryan Connolly, Chunliang Wang

JMI, Vol. 11, Issue 04, 044001, (July 2024) https://doi.org/10.1117/12.10.1117/1.JMI.11.4.044001

KEYWORDS: Lung, Image segmentation, Anatomy, Education and training, COVID 19, Prior knowledge, Voxels, Performance modeling, Computed tomography, Network architectures

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Proceedings Article | 29 May 2024 Paper

3D breast ultrasound image classification using 2.5D deep learning

Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno

Proceedings Volume 13174, 131741R (2024) https://doi.org/10.1117/12.3025534

KEYWORDS: Tumors, Breast, Ultrasonography, Image segmentation, 3D modeling, Radiomics, Education and training, Image classification, Deep learning, 3D image processing

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Proceedings Article | 3 April 2024 Presentation + Paper

Lesion localization in digital breast tomosynthesis with deformable transformers by using 2.5D information

Zhikai Yang, Tianyu Fan, Örjan Smedby, Rodrigo Moreno

Proceedings Volume 12927, 129270G (2024) https://doi.org/10.1117/12.3005496

KEYWORDS: Deformation, Digital breast tomosynthesis, Object detection, Transformers, Convolution, Breast, Feature extraction, Education and training, Performance modeling, Information fusion

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Proceedings Article | 1 April 2024 Presentation + Paper

Using simulated breast lesions based on Perlin noise for evaluation of lesion segmentation

Hanna Tomic, Zhikai Yang, Anders Tingberg, Sophia Zackrisson, Rodrigo Moreno, Örjan Smedby, Magnus Dustler, Predrag Bakic

Proceedings Volume 12925, 129251P (2024) https://doi.org/10.1117/12.3008840

KEYWORDS: Image segmentation, Breast, Digital breast tomosynthesis, Tumors, Tissues, Diagnostics, Medical image reconstruction, Computer simulations

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Proceedings Article | 3 April 2023 Poster + Paper

Synthesis of pediatric brain tumor images with mass effect

Yu Zhou, Jingru Fu, Örjan Smedby, Rodrigo Moreno

Proceedings Volume 12464, 1246432 (2023) https://doi.org/10.1117/12.2654366

KEYWORDS: Tumors, Image segmentation, Brain, Neuroimaging, Deformation, Magnetic resonance imaging, Data modeling, Brain tissue

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Proceedings Article | 2 September 2021 Presentation + Paper

Deriving brain imaging biomarkers with deep learning

Ö. Smedby

Proceedings Volume 11804, 118040Q (2021) https://doi.org/10.1117/12.2593648

KEYWORDS: Brain, Machine learning, Image processing, Neuroimaging, Magnetic resonance imaging, Latex, Image segmentation, Alzheimer's disease, Medical imaging, Data modeling

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Proceedings Article | 15 March 2019 Presentation + Paper

Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution

Fengkai Wan, Örjan Smedby, Chunliang Wang

Proceedings Volume 10949, 1094909 (2019) https://doi.org/10.1117/12.2512950

KEYWORDS: Convolutional neural networks, Image segmentation, Magnetic resonance imaging, Bone, 3D image processing, Cartilage, Image processing algorithms and systems, Image filtering

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Proceedings Article | 15 March 2019 Paper

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

Proceedings Volume 10949, 109492O (2019) https://doi.org/10.1117/12.2512409

KEYWORDS: Machine learning, Principal component analysis, Brain imaging, Image segmentation, Brain, Neuroimaging, Data modeling, Magnetic resonance imaging, Statistical modeling

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SPIE Journal Paper | 28 June 2018

Convolutional neural network-based image enhancement for x-ray percutaneous coronary intervention

Marco Pavoni, Yongjun Chang, Sang-ho Park, Örjan Smedby

JMI, Vol. 5, Issue 02, 024006, (June 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.2.024006

KEYWORDS: Image enhancement, Denoising, X-rays, X-ray imaging, Neural networks, Fluoroscopy, Optical inspection, Image denoising, Image processing, Visualization

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SPIE Journal Paper | 28 April 2017

Improved centerline tree detection of diseased peripheral arteries with a cascading algorithm for vascular segmentation

Kristína Lidayová, Hans Frimmel, Ewert Bengtsson, Örjan Smedby

JMI, Vol. 4, Issue 02, 024004, (April 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.2.024004

KEYWORDS: Arteries, Image segmentation, Detection and tracking algorithms, Blood, Bone, 3D modeling, Computed tomography, Pathology, Tissues, Blood vessels

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Proceedings Article | 24 February 2017 Paper

Segmentation of cortical bone using fast level sets

Manish Chowdhury, Daniel Jörgens, Chunliang Wang, Örjan Smedby, Rodrigo Moreno

Proceedings Volume 10133, 1013327 (2017) https://doi.org/10.1117/12.2254240

KEYWORDS: Image segmentation, Bone, Image analysis, Medical imaging, Image resolution, Computed tomography, Biological research, 3D image processing, Visualization, Optical spheres, Surgery, Binary data

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Proceedings Article | 18 March 2016 Paper

Non-rigid point set registration of curves: registration of the superficial vessel centerlines of the brain

Filipe M. Marreiros, Chunliang Wang, Sandro Rossitti, Örjan Smedby

Proceedings Volume 9786, 978611 (2016) https://doi.org/10.1117/12.2208421

KEYWORDS: Brain, Magnetic resonance angiography, Distance measurement, Error analysis, Image registration, 3D image processing, Surgery, Image segmentation, Medical imaging, Veins, Neuroimaging

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SPIE Journal Paper | 15 February 2016 Open Access

Superficial vessel reconstruction with a Multiview camera system

Filipe M. Marreiros, Sandro Rossitti, Per Karlsson, Chunliang Wang, Torbjörn Gustafsson, Per Carleberg, Örjan Smedby

JMI, Vol. 3, Issue 01, 019801, (February 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.019801

KEYWORDS: Cameras, Imaging systems, Medical imaging, Information technology, Image visualization, Visualization, Health sciences, MATLAB

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SPIE Journal Paper | 5 January 2016

Superficial vessel reconstruction with a multiview camera system

Filipe Marreiros, Sandro Rossitti, Per Karlsson, Chunliang Wang, Torbjörn Gustafsson, Per Carleberg, Örjan Smedby

JMI, Vol. 3, Issue 01, 015001, (January 2016) https://doi.org/10.1117/12.10.1117/1.JMI.3.1.015001

KEYWORDS: Optical spheres, Cameras, Brain, Imaging systems, Neuroimaging, Spatial coherence, Magnetic resonance imaging, Calibration, Computed tomography, Computing systems

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Proceedings Article | 7 March 2012 Paper

Quantifying effects of post-processing with visual grading regression

Örjan Smedby, Mats Fredrikson, Jakob De Geer, Michael Sandborg

Proceedings Volume 8318, 83181N (2012) https://doi.org/10.1117/12.912321

KEYWORDS: Visualization, Image quality, Statistical analysis, Image filtering, Heart, Visual analytics, Computed tomography, Digital filtering, Image quality standards, Visual process modeling

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Proceedings Article | 24 February 2012 Paper

Estimation of trabecular thickness in gray-scale images through granulometric analysis

Rodrigo Moreno, Magnus Borga, Örjan Smedby

Proceedings Volume 8314, 831451 (2012) https://doi.org/10.1117/12.906734

KEYWORDS: Binary data, Selenium, Image segmentation, Bone, Mathematical morphology, Error analysis, Image processing, Discretization errors, Image resolution, Image analysis

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Proceedings Article | 22 February 2012 Paper

Visual grading regression with random effects

Örjan Smedby, Mats Fredrikson, Jakob De Geer, Michael Sandborg

Proceedings Volume 8318, 831805 (2012) https://doi.org/10.1117/12.913650

KEYWORDS: Visualization, Image quality, Image quality standards, Statistical analysis, Visual analytics, Image filtering, Computed tomography, Diagnostics, Angiography, Digital filtering

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Proceedings Article | 12 March 2011 Paper

Level set based vessel segmentation accelerated with periodic monotonic speed function

Chunliang Wang, Hans Frimmel, Örjan Smedby

Proceedings Volume 7962, 79621M (2011) https://doi.org/10.1117/12.876704

KEYWORDS: Image segmentation, Medical imaging, Image processing algorithms and systems, Partial differential equations, Detection and tracking algorithms, Radiology, Image visualization, Visualization, Information technology, 3D metrology

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Proceedings Article | 5 May 2004 Paper

Color-coded depth information in volume-rendered magnetic resonance angiography

Orjan Smedby, Karin Edsborg, John Henriksson

Proceedings Volume 5367, (2004) https://doi.org/10.1117/12.535816

KEYWORDS: Image segmentation, Magnetic resonance angiography, Digital filtering, Image filtering, Opacity, Visualization, Volume rendering, Angiography, Computed tomography, Visibility

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Proceedings Article | 18 April 2000 Paper

New presentation method for magnetic resonance angiography images based on skeletonization

Ingela Nystroem, Orjan Smedby

Proceedings Volume 3976, (2000) https://doi.org/10.1117/12.383078

KEYWORDS: Blood vessels, Image processing, Image segmentation, Optical spheres, Visualization, 3D image processing, Magnetic resonance angiography, Arteries, Angiography, Magnetic resonance imaging

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Proceedings Article | 26 May 1999 Paper

Gray-scale connectivity concept for visualizing MRA and CTA volumes

Orjan Smedby, Stina Svensson, Tomas Loefstrand

Proceedings Volume 3658, (1999) https://doi.org/10.1117/12.349432

KEYWORDS: Visualization, Angiography, Image segmentation, Algorithm development, Arteries, Veins, 3D image processing, Image visualization, Magnetic resonance angiography, Computed tomography

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Showing 5 of 21 publications

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