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ORCIDMedical Imaging 2018: Image Processing: Houston, Texas, USA
- Elsa D. Angelini, Bennett A. Landman:
Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10574, SPIE 2018, ISBN 9781510616370
Brain: Shapes and Biomarkers
- Ilwoo Lyu, Hakmook Kang, Neil D. Woodward
, Bennett A. Landman:
Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups. 1057402 - Oula Puonti, Koen Van Leemput, Jesper D. Nielsen, Christian Bauer, Hartwig Roman Siebner, Kristoffer Hougaard Madsen, Axel Thielscher:
Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines. 1057404 - Liane S. Canas, Benjamin C. Yvernault, Carole H. Sudre, Enrico De Vita, M. Jorge Cardoso, John S. Thornton, Frederik Barkhof, Sébastien Ourselin, Simon Mead, Marc Modat:
Imaging biomarkers for the diagnosis of Prion disease. 1057405 - Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Hakmook Kang, Neil D. Woodward, Bennett A. Landman:
Constructing statistically unbiased cortical surface templates using feature-space covariance. 1057406
Deep Learning: Segmentation
- Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. 1057407 - Nikolas Leßmann, Bram van Ginneken, Ivana Isgum:
Iterative convolutional neural networks for automatic vertebra identification and segmentation in CT images. 1057408 - Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. 1057409 - Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal, Smita Sampath, Joseph Forbes, Ansuman Bagchi, Chih-Liang Chin, Antong Chen:
Segmentation of left ventricle myocardium in porcine cardiac cine MR images using a hybrid of fully convolutional neural networks and convolutional LSTM. 105740A - Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori:
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. 105740B - Chi Xiao, Weifu Li, Xi Chen, Hua Han, Qiwei Xie:
An effective fully deep convolutional neural network for mitochondria segmentation based on ATUM-SEM. 105740C
Image Enhancement
- Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov, Donald Peebles, Jan Deprest, Sébastien Ourselin, David J. Hawkes, Tom Vercauteren:
A log-Euclidean and total variation based variational framework for computational sonography. 105740D - Bo Zhou, Yi Jiang, Di Wen, Robert C. Gilkeson, Jun Hou, David L. Wilson:
Visualization of coronary artery calcium in dual energy chest radiography using automatic rib suppression. 105740E - Junchi Liu, Amin Zarshenas, Ammar Qadir, Zheng Wei, Limin Yang, Laurie Lee Fajardo, Kenji Suzuki:
Radiation dose reduction in digital breast tomosynthesis (DBT) by means of deep-learning-based supervised image processing. 105740F - Nikolai V. Slavine, Stephen Seiler, Timothy J. Blackburn, Robert E. Lenkinski:
Image enhancement method for digital mammography. 105740G - Devi Ayyagari, Nisha Ramesh, Dimitri Yatsenko, Tolga Tasdizen, Cristain Atria:
Image reconstruction using priors from deep learning. 105740H
Machine Learning
- Cristian Lorenz, Tom Brosch, Cybèle Ciofolo-Veit, Tobias Klinder, Thierry Lefevre, Angelo Cavallaro, Ibtisam Salim, Aris T. Papageorghiou, Caroline Raynaud, David Roundhill, Laurence Rouet, Nicole Schadewaldt, Alexander Schmidt-Richberg:
Automated abdominal plane and circumference estimation in 3D US for fetal screening. 105740I - Feriel Khellaf, Sarah Leclerc, Jason D. Voorneveld, Raja Sekhar Bandaru, Johan G. Bosch, Olivier Bernard:
Left ventricle segmentation in 3D ultrasound by combining structured random forests with active shape models. 105740J - Chenglong Wang, Masahiro Oda, Yasushi Yoshino, Tokunori Yamamoto, Kensaku Mori:
Fine segmentation of tiny blood vessel based on fully-connected conditional random field. 105740K - Bhavya Ajani, Aditya Bharadwaj, Karthik Krishnan:
Automatic and fast CT liver segmentation using sparse ensemble with machine learned contexts. 105740L - Evelin Hristova, Heinrich Schulz, Tom Brosch, Mattias P. Heinrich, Hannes Nickisch:
Nearest neighbor 3D segmentation with context features. 105740M - Jan Hering, Jan Kybic, Lukás Lambert:
Detecting multiple myeloma via generalized multiple-instance learning. 105740N
Registration
- Sandra Schultz, Heinz Handels, Jan Ehrhardt:
A multilevel Markov Chain Monte Carlo approach for uncertainty quantification in deformable registration. 105740O - Shikha Chaganti, Bennett A. Landman:
Quadratic: quality of dice in registration circuits. 105740P - Eike Mücke, Heinz Handels, René Werner:
Self-reference-based and during-registration detection of motion artifacts in spatio-temporal image data. 105740Q - Parag Bhosale, Marius Staring, Zaid Al-Ars, Floris F. Berendsen:
GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications. 105740R - Koen A. J. Eppenhof, Maxime W. Lafarge, Pim Moeskops, Mitko Veta, Josien P. W. Pluim:
Deformable image registration using convolutional neural networks. 105740S
Keynote and Highlights
- Tom Brosch, Axel Saalbach:
Foveal fully convolutional nets for multi-organ segmentation. 105740U - Mahmoud Mostapha, Mark D. Shen, Sun Hyung Kim, Meghan R. Swanson, D. Louis Collins, Vladimir S. Fonov, Guido Gerig, Joseph Piven, Martin A. Styner:
A novel framework for the local extraction of extra-axial cerebrospinal fluid from MR brain images. 105740V - Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, Matthew W. Jacobson, Sebastian Vogt, Gerhard Kleinszig, Jeffrey H. Siewerdsen:
A statistical model for image registration performance: effect of tissue deformation. 105740W
fMRI and DTI
- Vishwesh Nath, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman:
SHARD: spherical harmonic-based robust outlier detection for HARDI methods. 105740X - Adora M. DSouza, Anas Z. Abidin, Udaysankar Chockanathan, Axel Wismüller:
Regional autonomy changes in resting-state functional MRI in patients with HIV associated neurocognitive disorder. 105740Y - Fatemeh Mokhtari, Rhiannon E. Mayhugh, Christina E. Hugenschmidt, Walter Jack Rejeski, Paul J. Laurienti:
Tensor-based vs. matrix-based rank reduction in dynamic brain connectivity. 105740Z - Nicolas Honnorat, Christos Davatzikos:
Extrapolated nonnegative decompositions for the analysis of functional connectivity. 1057410 - Fangxu Xing, Jerry L. Prince, Maureen Stone, Timothy G. Reese, Nazem Atassi, Van J. Wedeen, Georges El Fakhri, Jonghye Woo:
Strain map of the tongue in normal and ALS speech patterns from tagged and diffusion MRI. 1057411 - Prince D. Ngattai Lam, Gaetan Belhomme, Jessica Ferrall, Billie Patterson, Martin Styner, Juan-Carlos Prieto:
TRAFIC: fiber tract classification using deep learning. 1057412 - Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Baxter P. Rogers, Allen T. Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, Bennett A. Landman:
Evaluation of inter-site bias and variance in diffusion-weighted MRI. 1057413
Motion
- Xiaokai Wang, Maureen L. Stone, Jerry L. Prince, Arnold D. Gomez:
A novel filtering approach for 3D harmonic phase analysis of tagged MRI. 1057414 - Martin G. Wagner, Paul F. Laeseke, Colin Harari, Sebastian Schafer, Michael A. Speidel, Charles A. Mistretta:
Feasibility of intra-acquisition motion correction for 4D DSA reconstruction for applications in the thorax and abdomen. 1057415 - Tanja Elss, Hannes Nickisch, Tobias Wissel, Holger Schmitt, Mani Vembar, Michael M. Morlock, Michael Grass:
Deep-learning-based CT motion artifact recognition in coronary arteries. 1057416 - André Mastmeyer, Matthias Wilms, Heinz Handels:
Population-based respiratory 4D motion atlas construction and its application for VR simulations of liver punctures. 1057417 - Wei Shao, Sarah E. Gerard, Yue Pan, Taylor J. Patton, Joseph M. Reinhardt, Oguz C. Durumeric, John E. Bayouth, Gary E. Christensen:
Sensitivity analysis of Jacobian determinant used in treatment planning for lung cancer. 1057418
Image Features
- Abhishek Tiwari, Kedar Anil Patwardhan:
HoDOr: histogram of differential orientations for rigid landmark tracking in medical images. 1057419 - Syed Ahmed Nadeem, Eric A. Hoffman, Jered P. Sieren, Punam K. Saha:
Topological leakage detection and freeze-and-grow propagation for improved CT-based airway segmentation. 105741A - Sureerat Reaungamornrat, Aaron Carass, Yufan He, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince:
Inter-scanner variation independent descriptors for constrained diffeomorphic demons registration of retina OCT. 105741B - Martijn P. A. Starmans, Razvan L. Miclea, Sebastian R. van der Voort, Wiro J. Niessen, Maarten G. Thomeer, Stefan Klein:
Classification of malignant and benign liver tumors using a radiomics approach. 105741D - Shalese Bexandall, Shrushrita Sharma, Peng Thai, Glen Pridham, Yunyan Zhang:
Quantitative phase and texture angularity analysis for brain white matter lesions in multiple sclerosis. 105741E
Deep Learning: Lesions and Pathologies
- Lele Chen, Yue Wu, Adora M. DSouza, Anas Z. Abidin, Axel Wismüller, Chenliang Xu:
MRI tumor segmentation with densely connected 3D CNN. 105741F - Filipe Marques, Florian Dubost, Mariette Kemner-van de Corput, Harm A. W. M. Tiddens, Marleen de Bruijne:
Quantification of lung abnormalities in cystic fibrosis using deep networks. 105741G - Germán González, George R. Washko, Raúl San José Estépar:
Deep learning for biomarker regression: application to osteoporosis and emphysema on chest CT scans. 105741H - Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter:
Microaneurysm detection using deep learning and interleaved freezing. 105741I - Domen Ravnik, Tim Jerman, Franjo Pernus, Bostjan Likar, Ziga Spiclin:
Dataset variability leverages white-matter lesion segmentation performance with convolutional neural network. 105741J
Deep Learning: Generative Adversarial Networks
- Christopher Bowles, Roger N. Gunn, Alexander Hammers, Daniel Rueckert:
Modelling the progression of Alzheimer's disease in MRI using generative adversarial networks. 105741K - Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning implicit brain MRI manifolds with deep learning. 105741L - Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Chest x-ray generation and data augmentation for cardiovascular abnormality classification. 105741M - Marijn van Stralen, Y. Zhou, P. J. Wozny, Peter R. Seevinck, Marco Loog:
Contextual loss functions for optimization of convolutional neural networks generating pseudo CTs from MRI. 105741N
Poster Session: Enhancement
- Yingying Gu, Jun Zhang, Ping Xue:
Multi-grid nonlocal techniques for x-ray scatter correction. 105741O - Shinkook Choi, Jongduk Baek:
A new method to reduce cone beam artifacts by optimal combination of FDK and TV-IR images. 105741Q - Julia M. H. Noothout, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum:
Automatic segmentation of thoracic aorta segments in low-dose chest CT. 105741S - Yutaro Iwamoto, Xian-Hua Han, Akihiko Shiino, Yen-Wei Chen:
Fast super-resolution with iterative-guided back projection for 3D MR images. 105741T
Poster Session: Machine Learning
- Defeng Zhang, Weifang Zhu, Heming Zhao, Fei Shi, Xinjian Chen:
Automatic localization and segmentation of optical disk based on faster R-CNN and level set in fundus image. 105741U - Fatema Tuz Zohora, Sameer K. Antani, KC Santosh:
Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering. 105741V - Ivo M. Baltruschat, Axel Saalbach, Mattias P. Heinrich, Hannes Nickisch, Sascha Jockel:
Orientation regression in hand radiographs: a transfer learning approach. 105741W - Rajath Elias Soans, James A. Shackleford:
Organ localization and identification in thoracic CT volumes using 3D CNNs leveraging spatial anatomic relations. 105741X - Yoni Dukler, Yurun Ge, Yizhou Qian, Shintaro Yamamoto, Baichuan Yuan, Long Zhao, Andrea L. Bertozzi, Blake Hunter, Rafael Llerena, Jesse T. Yen:
Automatic valve segmentation in cardiac ultrasound time series data. 105741Y - Jeremy Benson, Hector Carrillo, Jeffrey Wigdahl, Sheila C. Nemeth, John Maynard, Gilberto Zamora, E. Simon Barriga, Trilce Estrada, Peter Soliz:
Transfer learning for diabetic retinopathy. 105741Z - Zeynettin Akkus, Petro M. Kostandy, Kenneth A. Philbrick, Bradley J. Erickson:
Extraction of brain tissue from CT head images using fully convolutional neural networks. 1057420 - Faisal Mahmood, Nicholas J. Durr:
Deep learning-based depth estimation from a synthetic endoscopy image training set. 1057421 - G. Eche, Omar Zenteno, Benjamín Castañeda:
Automatic lung ultrasound B-line recognition in pediatric populations for the detection of pneumonia. 1057422 - Yufei Gao, Yameng Zhang, Wen Zhou, Li Yao, Jiacai Zhang:
Brain decoding using deep convolutional network and its application in cross-subject analysis. 1057423 - Duo Wang, Rui Zhang, Jin Zhu, Zhongzhao Teng, Yuan Huang, Filippo Spiga, Michael Hong-Fei Du, Jonathan H. Gillard, Qingsheng Lu, Pietro Liò:
Neural network fusion: a novel CT-MR aortic aneurysm image segmentation method. 1057424 - Cristian Lorenz, Nora Vogt, Peter Börnert, Tom Brosch:
Spine centerline extraction and efficient spine reading of MRI and CT data. 1057425
Poster Session: Quantification and Modeling
- Timo Kepp, Christine Droigk, Malte Casper, Michael Evers, Nunciada Salma, Dieter Manstein, Heinz Handels:
Segmentation of subcutaneous fat within mouse skin in 3D OCT image data using random forests. 1057426 - Dongqing Zhang, Jack H. Noble, Benoit M. Dawant:
Automatic detection of the inner ears in head CT images using deep convolutional neural networks. 1057427 - Jorge Onieva Onieva, Germán González Serrano, Thomas P. Young, George R. Washko, María-Jesus Ledesma-Carbayo, Raúl San José Estépar:
Multiorgan structures detection using deep convolutional neural networks. 1057428 - Ningning Zhao, Daniel O'Connor, Wenbo Gu, Dan Ruan, Adrian Basarab, Ke Sheng:
Coupling reconstruction and motion estimation for dynamic MRI through optical flow constraint. 1057429 - Jongha Lee, Hoyeon Lee, Seungryong Cho:
Sinogram synthesis using convolutional-neural-network for sparsely view-sampled CT. 105742A - Nicolas Honnorat, Christos Davatzikos:
High resolution robust and smooth precision matrices to capture functional connectivity. 105742B - Xiaocui Wang, Chuanzhu Sun, Shan Wang, Jieli Cao, Hui Xu, Shuoqiu Gan, Zhen Chen, Bo Yin, Guanghui Bai, Meihua Shao, Chenghui Gu, Liuxun Hu, Limei Ye, Dandong Li, Zhihan Yan, Lijun Bai:
Hubs defined with participation coefficient metric altered following acute mTBI. 105742C - Zahra Sedghi Gamechi, Andrés M. Arias Lorza, Jesper Holst Pedersen, Marleen de Bruijne:
Aorta and pulmonary artery segmentation using optimal surface graph cuts in non-contrast CT. 105742D - Jens von Berg, Tobias Klinder, Cristian Lorenz:
Model based rib-cage unfolding for trauma CT. 105742E - Guoping Xu, Jayaram K. Udupa, Yubing Tong, Hanqiang Cao, Dewey Odhner, Drew A. Torigian, Xingyu Wu:
Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy. 105742F - Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes:
Tapering analysis of airways with bronchiectasis. 105742G - Aimilia Gastounioti, Meng-Kang Hsieh, Lauren Pantalone, Emily F. Conant, Despina Kontos:
Volumetric versus area-based density assessment: comparisons using automated quantitative measurements from a large screening cohort. 105742H - Yongjin Chang, Gregory C. Sharp, Quanzheng Li, Helen A. Shih, Georges El Fakhri, Jong Beom Ra, Jonghye Woo:
Subject-specific brain tumor growth modelling via an efficient Bayesian inference framework. 105742I - Lilli Kaufhold, Andreas Harloff, Christian Schumann, Axel Joachim Krafft, Jürgen Hennig, Anja Hennemuth:
Image-based assessment of uncertainty in quantification of carotid lumen. 105742J - Carlos Cano-Espinosa, Germán González, George R. Washko, Miguel Cazorla, Raúl San José Estépar:
Automated Agatston score computation in non-ECG gated CT scans using deep learning. 105742K - Soroosh Sanatkhani, Prahlad G. Menon:
Generative statistical modeling of left atrial appendage appearance to substantiate clinical paradigms for stroke risk stratification. 105742L - Yohei Torigoe, Shoken Oshiro, Tozaki Tetsuya, Michio Senda:
Feature analysis of high SUV regions based on FDG-PET. 105742M - Soroosh Sanatkhani, Michael Oladosu, Karandeep Chera, Sotirios Nedios, Prahlad G. Menon:
Relating regional characteristics of left atrial shape to presence of scar in patients with atrial fibrillation. 105742N - Fengxia Yan, Jayaram K. Udupa, Yubing Tong, Guoping Xu, Dewey Odhner, Drew A. Torigian:
Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks. 105742O - Cailey E. Fitzgerald, Liam Cattell, Gustavo K. Rohde:
Training classifiers with limited data using the Radon cumulative distribution transform. 105742P
Poster Session: Registration
- Ana Luiza Menegatti Pavan, Antoine Vacavant, Andre Petean Trindade, Caio Cesar Quini, Diana Rodrigues de Pina:
Enhancement of breast periphery region in digital mammography. 105742R - Jiong Wu, Xiaoying Tang:
Fast diffeomorphic image registration via GPU-based parallel computing: an investigation of the matching cost function. 105742S - Ilwoo Lyu, Jonathan Perdomo, Gabriel S. Yapuncich, Beatriz Paniagua, Doug M. Boyer, Martin A. Styner:
Group-wise shape correspondence of variable and complex objects. 105742T
Poster Session: Segmentation
- Mohsen Ghafoorian, Jonas Teuwen, Rashindra Manniesing, Frank-Erik de Leeuw, Bram van Ginneken, Nico Karssemeijer, Bram Platel:
Student beats the teacher: deep neural networks for lateral ventricles segmentation in brain MR. 105742U - Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Melissa A. Hilmes, Bennett A. Landman:
Fully convolutional neural networks improve abdominal organ segmentation. 105742V - Nivedita Khobragade, Chirag Agarwal:
Multi-class segmentation of neuronal electron microscopy images using deep learning. 105742W - Mahsa Torkaman, Romeil Sandhu, Allen R. Tannenbaum:
Extraction of breast lesions from ultrasound imagery: Bhattacharyya gradient flow approach. 105742Y - Xuesong Yang, Yong Fan:
Coupled dictionary learning for joint MR image restoration and segmentation. 105742Z - Piotr Chudzik, Somshubra Majumdar, Francesco Calivá, Bashir Al-Diri, Andrew Hunter:
Exudate segmentation using fully convolutional neural networks and inception modules. 1057430 - Jeffrey Glaister, Muhan Shao, Xiang Li, Aaron Carass, Snehashis Roy, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen:
Deformable model reconstruction of the subarachnoid space. 1057431 - Shenghua He, Jie Zheng, Akiko Maehara, Gary S. Mintz, Dalin Tang, Mark A. Anastasio, Hua Li:
Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images. 1057432 - Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer:
Sequential neural networks for biologically-informed glioma segmentation. 1057433 - Tian Zhang, Zhiyi Wu, Jürgen H. Runge, Cristina Lavini, Jaap Stoker, Thomas van Gulik, Kasia P. Cieslak, Lucas J. van Vliet, Frans M. Vos:
A hybrid segmentation method for partitioning the liver based on 4D DCE-MR Images. 1057434 - Bo Chen, Shan Huang, Feifei Xie, Lihong C. Li, Wensheng Chen, Zhengrong Liang:
A new medical image segmentation model based on fractional order differentiation and level set. 1057435 - Liyuan Chen, Chenyang Shen, Shulong Li, Genevieve Maquilan, Kevin Albuquerque, Michael R. Folkert, Jing Wang:
Automatic PET cervical tumor segmentation by deep learning with prior information. 1057436 - Khadeejah Mohiuddin, Justin W. L. Wan:
Automated segmentation of cellular images using an effective region force. 1057437 - Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman:
Improved stability of whole brain surface parcellation with multi-atlas segmentation. 1057438 - Xuesong Yang, Yong Fan:
Feature extraction using convolutional neural networks for multi-atlas based image segmentation. 1057439