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ORCIDMIUA 2017: Edinburgh, UK
- Maria del C. Valdés Hernández, Víctor González-Castro:
Medical Image Understanding and Analysis - 21st Annual Conference, MIUA 2017, Edinburgh, UK, July 11-13, 2017, Proceedings. Communications in Computer and Information Science 723, Springer 2017, ISBN 978-3-319-60963-8
Retinal Imaging
- Arunava Chakravarty, Jayanthi Sivaswamy:
End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography. 3-14 - Tong Na, Yitian Zhao, Yifan Zhao, Yue Liu:
Superpixel-Based Line Operator for Retinal Blood Vessel Segmentation. 15-26 - Harry Pratt, Bryan M. Williams
, Jae Ku, Frans Coenen, Yalin Zheng:
Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography. 27-37 - Muhammad Nauman Zahoor, Muhammad Moazam Fraz:
Fast Optic Disc Segmentation in Retinal Images Using Polar Transform. 38-49 - I. Syed Muhammedh Ajwahir, Kumar T. Rajamani, S. Ibrahim Sadhar:
A Novel Technique for Splat Generation and Patch Level Prediction in Diabetic Retinopathy. 50-59
Ultrasound Imaging
- Ryan Cunningham, Peter J. Harding, Ian Loram:
Deep Residual Networks for Quantification of Muscle Fiber Orientation and Curvature from Ultrasound Images. 63-73 - Prerna Singh, Ramakrishnan Mukundan, Rex de Ryke:
Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images. 74-85 - Dheyaa Ahmed Ibrahim, Hisham Al-Assam, Sabah Jassim, Hongbo Du:
Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images. 86-97 - Huan Qi, Sally L. Collins, J. Alison Noble:
Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks. 98-108 - Deepak Mishra, Santanu Chaudhury, Mukul Sarkar, Arvinder Singh Soin:
Edge Aware Geometric Filter for Ultrasound Image Enhancement. 109-120
Cardiovascular Imaging
- Claudia Mazo, Enrique Alegre, María P. Trujillo, Víctor González-Castro:
Tissues Classification of the Cardiovascular System Using Texture Descriptors. 123-132 - Giorgos Papanastasiou, Víctor González-Castro, Calum D. Gray, R. O. Forsythe, Y. Sourgia-Koutraki, N. Mitchard, David E. Newby, S. I. K. Semple:
Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements. 133-143 - Andrew McNeil, Giulio Degano, Ian Poole, Graeme Houston, Emanuele Trucco:
Comparison of Automatic Vessel Segmentation Techniques for Whole Body Magnetic Resonance Angiography with Limited Ground Truth Data. 144-155 - Arna van Engelen, Marleen de Bruijne, Torben Schneider, Anouk C. van Dijk, M. Eline Kooi, Jeroen Hendrikse, Aart J. Nederveen, Wiro J. Niessen, René M. Botnar:
Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI. 156-168 - Benjamin Villard, Valentina Carapella, Rina Ariga, Vicente Grau, Ernesto Zacur:
Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours. 169-181 - 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. 182-194 - Guang Yang, Xiahai Zhuang, Habib Khan, Shouvik Haldar, Eva Nyktari, Xujiong Ye, Gregory G. Slabaugh, Tom Wong, Raad Mohiaddin, Jennifer Keegan, David N. Firmin:
Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders. 195-206 - Muhammad Moazzam Jawaid, Ronak Rajani, Panos Liatsis, Constantino Carlos Reyes-Aldasoro, Greg G. Slabaugh:
Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold. 207-218 - Safa Salahat, Ahmed Soliman, Tim McGloughlin, Naoufel Werghi, Ayman El-Baz:
Segmentation of Abdominal Aortic Aneurysm (AAA) Based on Topology Prior Model. 219-228 - Iulia A. Popescu, Alessandra Borlotti, Erica Dall' Armellina, Vicente Grau:
Automated LGE Myocardial Scar Segmentation Using MaskSLIC Supervoxels - Replicating the Clinical Method. 229-236
Oncology Imaging
- Haocheng Shen, Ruixuan Wang, Jianguo Zhang, Stephen J. McKenna:
Multi-task Fully Convolutional Network for Brain Tumour Segmentation. 239-248 - Boqian Wu, Tasleem Kausar, Qiao Xiao, Mingjiang Wang, Wenfeng Wang, Binwen Fan, Dandan Sun:
FF-CNN: An Efficient Deep Neural Network for Mitosis Detection in Breast Cancer Histological Images. 249-260 - Bilal Taha, Jorge Dias, Naoufel Werghi:
Classification of Cervical-Cancer Using Pap-Smear Images: A Convolutional Neural Network Approach. 261-272 - Roushanak Rahmat, William Henry Nailon, Allan Price, David Harris-Birtill, Stephen McLaughlin:
New Level Set Model in Follow Up Radiotherapy Image Analysis. 273-284 - Constantino Carlos Reyes-Aldasoro, Meit A. Bjorndahl, Chryso Kanthou, Gillian M. Tozer:
Topological Analysis of the Vasculature of Angiopoietin-Expressing Tumours Through Scale-Space Tracing. 285-296 - Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Quantitative Electron Density CT Imaging for Radiotherapy Planning. 297-308 - Liping Wang, Reyer Zwiggelaar:
3D Texton Based Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging. 309-319 - Talha Qaiser, Yee-Wah Tsang, David B. A. Epstein, Nasir M. Rajpoot:
Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features. 320-329 - Suchithra Kunhoth, Somaya Al-Máadeed:
Multispectral Biopsy Image Based Colorectal Tumor Grader. 330-341 - Patrick Leydon, Martin O'Connell, Derek Greene, Kathleen M. Curran:
Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma. 342-351
Mammography Image Analysis
- Zobia Suhail, Azam Hamidinekoo, Erika R. E. Denton, Reyer Zwiggelaar:
A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms. 355-364 - Andrik Rampun, Philip J. Morrow, Bryan W. Scotney, Robert John Winder:
Breast Density Classification Using Multiresolution Local Quinary Patterns in Mammograms. 365-376 - Qiang Tang, Yan Chen, Alastair G. Gale:
Rich Interaction and Feedback Supported Mammographic Training: A Trial of an Augmented Reality Approach. 377-385 - Ramakrishnan Mukundan:
A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves. 386-397 - Azam Hamidinekoo, Zobia Suhail, Talha Qaiser, Reyer Zwiggelaar:
Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification. 398-409
Brain Imaging
- Andrés Ortiz, Jorge Munilla, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez:
Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer's Disease Progression. 413-424 - Susana Muñoz Maniega, Mark E. Bastin, Ian J. Deary, Joanna M. Wardlaw, Jonathan D. Clayden:
Improved Reference Tracts for Unsupervised Brain White Matter Tractography. 425-435 - Shichao Cheng, Yuzhuo Duan, Xin Fan, Dongyu Zhang, Hua Cheng:
Review of Fast Density-Peaks Clustering and Its Application to Pediatric White Matter Tracts. 436-447 - Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, Malgorzata Lorent, Arkadiusz Gertych:
A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides. 448-458 - Juan Manuel Górriz, Javier Ramírez, M. Moreno-Caballero, Francisco Jesús Martínez-Murcia, Andrés Ortiz, Ignacio A. Illán, Fermín Segovia, Diego Salas-Gonzalez, Manuel Gómez-Río:
Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes. 459-469 - Francisco Jesús Martínez-Murcia, Juan Manuel Górriz, Javier Ramírez, Fermín Segovia, Diego Salas-Gonzalez, Diego Castillo-Barnes, Ignacio A. Illán, Andrés Ortiz:
Evaluating Alzheimer's Disease Diagnosis Using Texture Analysis. 470-481 - Muhammad Febrian Rachmadi, Maria del C. Valdés Hernández, Maria Leonora Fatimah Agan, Taku Komura:
Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology. 482-493 - Aneta Lisowska, Alison O'Neil, Vismantas Dilys, Matthew Daykin, Erin Beveridge, Keith Muir, Stephen McLaughlin, Ian Poole:
Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans. 494-505 - Hao Dong, Guang Yang, Fangde Liu, Yuanhan Mo, Yike Guo:
Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks. 506-517 - Safa Elsheikh, Andrew Fish, Roma Chakrabarti, Diwei Zhou, Mara Cercignani:
Modeling Diffusion Directions of Corpus Callosum. 518-526 - Sisi Wu, Sasan Mahmoodi, Angela Darekar, Brigitte Vollmer, Emma Lewis, Maria Liljeroth:
Feature Extraction and Classification to Diagnose Hypoxic-Ischemic Encephalopathy Patients by Using Susceptibility-Weighted MRI Images. 527-536 - Matthew Daykin, Erin Beveridge, Vismantas Dilys, Aneta Lisowska, Keith Muir, Mathini Sellathurai, Ian Poole:
Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT. 537-547
Image Enhancement and Alignment
- Wael Saafin, Gerald Schaefer:
Pre-processing Techniques for Colour Digital Pathology Image Analysis. 551-560 - Bastian Bier, Mathias Unberath, Tobias Geimer, Jennifer Maier, Garry Gold, Marc E. Levenston, Rebecca Fahrig, Andreas K. Maier:
Motion Compensation Using Range Imaging in C-Arm Cone-Beam CT. 561-570 - Muhammad Usman Ghani Khan, Yoshihiko Gotoh, Nudrat Nida:
Medical Image Colorization for Better Visualization and Segmentation. 571-580 - Floris Gaisser, Suzanne H. P. Peeters, Boris Lenseigne, Pieter P. Jonker, Dick Oepkes:
Fetoscopic Panorama Reconstruction: Moving from Ex-vivo to In-vivo. 581-593 - Yechiel Lamash, Anath Fischer, Jonathan Lessick:
Finite Element Based Interactive Elastic Image Registration. 594-604 - Prabhjot Kaur, Srimanta Mandal, Anil Kumar Sao:
Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution. 605-615 - Stathis Hadjidemetriou, Marios Nikos Psychogios, Paul Lingor, Kajetan von Eckardstein, Ismini Papageorgiou:
Restoration of Intensity Uniformity of Bi-contrast MRI Data with Bayesian Co-occurrence Coring. 616-628 - Jonathan H. Mason, Alessandro Perelli, William H. Nailon, Mike E. Davies:
Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT? 629-640 - Sevim Cengiz, Maria del C. Valdés Hernández, Esin Ozturk-Isik:
Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging. 641-650 - Negar Mirshahzadeh, Tanja Kurzendorfer, Peter Fischer, Thomas Pohl, Alexander Brost, Stefan Steidl, Andreas K. Maier:
Radial Basis Function Interpolation for Rapid Interactive Segmentation of 3-D Medical Images. 651-660
Modeling and Ssegmentation of Preclinical, Body and Histological Imaging
- Benjamin Irving, Chloe Hutton, Andrea Dennis, Sid Vikal, Marija Mavar, Matthew Kelly, J. Michael Brady:
Deep Quantitative Liver Segmentation and Vessel Exclusion to Assist in Liver Assessment. 663-673 - Damian J. J. Farnell, Jennifer Galloway, Alexei I. Zhurov, Stephen Richmond, Pertti Pirttiniemi, Visnja Katic:
Initial Results of Multilevel Principal Components Analysis of Facial Shape. 674-685 - Julio Camacho-Cañamón, María J. Carreira, Pedro Antonio Gutiérrez, Ramón Iglesias-Rey:
Estimating Rodent Brain Volume by a Deformable Contour Model. 686-697 - Shan E Ahmed Raza, Linda Cheung, David B. A. Epstein, Stella Pelengaris, Michael Khan, Nasir M. Rajpoot:
MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network. 698-706 - Lei Zhang, Sunil Dolwani, Xujiong Ye:
Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons. 707-717 - David A. Randell, Antony Galton, Shereen Fouad, Hisham Mehanna, Gabriel Landini:
Model-Based Correction of Segmentation Errors in Digitised Histological Images. 718-730 - Hang Dai, Nick E. Pears, Christian Duncan:
A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis. 731-742 - Alison O'Neil, Matthew Shepherd, Erin Beveridge, Keith A. Goatman:
A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease. 743-753 - Jenia Golbstein, Yaniv Tocker, Revital Sharivkin, Gabi Tarcic, Michael Vidne:
A Novel High-Throughput Multispectral Cell Segmentation Algorithm. 754-766 - Shereen Fouad, David A. Randell, Antony Galton, Hisham Mehanna, Gabriel Landini:
Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering. 767-779 - Zhen Yang, Yanan Guo, Xiaonan Gong, Yide Ma:
A Non-integer Step Index PCNN Model and Its Applications. 780-791 - José Alonso Solís-Lemus, Brian Stramer, Greg G. Slabaugh, Constantino Carlos Reyes-Aldasoro:
Segmentation of Overlapping Macrophages Using Anglegram Analysis. 792-803 - Alberto M. Biancardi, Jim M. Wild:
New Disagreement Metrics Incorporating Spatial Detail - Applications to Lung Imaging. 804-814 - Srishti Gautam, Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering. 815-826
Feature Detection and Classification
- Tzu-Hsi Song, Victor Sanchez, Hesham EIDaly, Nasir M. Rajpoot:
Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images. 829-838 - Aníbal Pedraza, Jaime Gallego, Samuel Lopez, Lucia Gonzalez, Arvydas Laurinavicius, Gloria Bueno:
Glomerulus Classification with Convolutional Neural Networks. 839-849 - Jonathan Gerrand, Quentin Williams, Dalton D. Lunga, Adam Pantanowitz, Shabir Madhi, Nasreen Mahomed:
Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks. 850-861 - David Traore, Katja Rietdorf, Naseer Al-Jawad, Hisham Al-Assam:
Automatic Hotspots Detection for Intracellular Calcium Analysis in Fluorescence Microscopic Videos. 862-873 - Christoph Rasche, Ciprian Tiganesteanu, Mihai Neghina, Alina Sultana:
Cervical Nuclei Classification: Feature Engineering Versus Deep Belief Network. 874-885 - Shuaiyifan Ma, Zijian Zhao:
A New Method of Surgical Tracking System Based on Fiducial Marker. 886-896 - Noha M. Ghatwary, Amr Ahmed, Xujiong Ye:
Automated Detection of Barrett's Esophagus Using Endoscopic Images: A Survey. 897-908 - Sohan Seth, Ahsan R. Akram, Kevin Dhaliwal, Christopher K. I. Williams:
Estimating Bacterial Load in FCFM Imaging. 909-921 - Vibha Gupta, Arnav Bhavsar:
Random Forest-Based Feature Importance for HEp-2 Cell Image Classification. 922-934 - Saif Hussein, Sabah Jassim, Hisham Al-Assam:
Automatic Quantification of Epidermis Curvature in H&E Stained Microscopic Skin Image of Mice. 935-945
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