Medical Imaging: Image Processing

Keyphrases

Publications

2020

Xiuxiu He, Bangjun Guo, Yang Lei, Tonghe Wang, Tian Liu, Walter J. Curran, Longjiang Zhang, Xiaofeng Yang
Automatic epicardial fat segmentation in cardiac CT imaging using 3D deep attention U-Net. Medical Imaging: Image Processing (2020)
Josefine Vilsbøll Sundgaard, Kristine Aavild Juhl, Klaus Fuglsang Kofoed, Rasmus R. Paulsen
Multi-planar whole heart segmentation of 3D CT images using 2D spatial propagation CNN. Medical Imaging: Image Processing (2020)
Gregory Holste, Ryan Sullivan, Michael D. Bindschadler, Nicholas Nagy, Adam M. Alessio
Multi-class semantic segmentation of pediatric chest radiographs. Medical Imaging: Image Processing (2020)
Sokratis Makrogiannis, Azubuike Okorie, Taposh Biswas, Luigi Ferrucci
Multi-atlas-based tissue identification in the lower leg using pQCT. Medical Imaging: Image Processing (2020)
Zhenmei Yu, Shuchao Pang, Anan Du, Mehmet A. Orgun, Yan Wang, Hong Lin
Fine-grained tumor segmentation on computed tomography slices by leveraging bottom-up and top-down strategies. Medical Imaging: Image Processing (2020)
Jonas A. Actor, David T. Fuentes, Béatrice Rivière
Identification of kernels in a convolutional neural network: connections between the level set equation and deep learning for image segmentation. Medical Imaging: Image Processing (2020)
Louis D. van Harten, Jelmer M. Wolterink, Joost J. C. Verhoeff, Ivana Isgum
Automatic online quality control of synthetic CTs. Medical Imaging: Image Processing (2020)
Yubo Fan, Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant
Combining model- and deep-learning-based methods for the accurate and robust segmentation of the intra-cochlear anatomy in clinical head CT images. Medical Imaging: Image Processing (2020)
Ivica Kopriva, Fei Shi, Marija Stanfel, Xinjian Chen
Enhanced low-rank plus group sparse decomposition for speckle reduction in OCT images. Medical Imaging: Image Processing (2020)
Arkadiy Dushatskiy, Adriënne M. Mendrik, Peter A. N. Bosman, Tanja Alderliesten
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms. Medical Imaging: Image Processing (2020)
Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Medical Imaging: Image Processing (2020)
Yufan He, Aaron Carass, Yihao Liu, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince
Adversarial domain adaptation for multi-device retinal OCT segmentation. Medical Imaging: Image Processing (2020)
Xuena Cheng, Xinjian Chen, Shuanglang Feng, Weifang Zhu, Dehui Xiang, Qiuying Chen, Xun Xu, Ying Fan, Fei Shi
Group-wise attention fusion network for choroid segmentation in OCT images. Medical Imaging: Image Processing (2020)
Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex
MRI correlates of chronic symptoms in mild traumatic brain injury. Medical Imaging: Image Processing (2020)
Maysam Shahedi, Martin T. Halicek, James D. Dormer, Baowei Fei
Incorporating minimal user input into deep-learning-based image segmentation. Medical Imaging: Image Processing (2020)
Xiujuan Geng, Peilun Song, Eric H. Y. Chen, Yaping Wang, Jingxia Lin
Neural effect induced by exercise intervention can be categorized by altered functional connectivity in early psychotic patients. Medical Imaging: Image Processing (2020)
Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman
Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning. Medical Imaging: Image Processing (2020)
Manikanda Krishnan V., Srinivasa Rao Kundeti, Arun H. Shastry, Shankar Prasad Gorthi
Enhancing infarct segmentation performance using domain-specific attention in acute ischemic stroke. Medical Imaging: Image Processing (2020)
Syed Ahmed Nadeem, Eric A. Hoffman, Alejandro P. Comellas, Punam K. Saha
Anatomical labeling of human airway branches using a novel two-step machine learning and hierarchical features. Medical Imaging: Image Processing (2020)
Kenta Ninomiya, Hidetaka Arimura
Homology-based approach for prognostic prediction of lung cancer using novel topologically invariant radiomic features. Medical Imaging: Image Processing (2020)
Changxing Yang, Haihong Tian, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen
Automatic lung segmentation in low-dose CT image with contrastive attention module. Medical Imaging: Image Processing (2020)
Bin Su, Yanyan Liu, Jianwei Fu, Guotao Quan
Reduction of motion artifacts in head CT exams using multi-scale convolutional neural network. Medical Imaging: Image Processing (2020)
Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman
Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI. Medical Imaging: Image Processing (2020)
Xi Fang, Bo Du, Sheng Xu, Bradford J. Wood, Pingkun Yan
Unified multi-scale feature abstraction for medical image segmentation. Medical Imaging: Image Processing (2020)
Sanne G. M. van Velzen, Bob D. de Vos, Helena M. Verkooijen, Tim Leiner, Max A. Viergever, Ivana Isgum
Coronary artery calcium scoring: Can we do better? Medical Imaging: Image Processing (2020)
Bernard C. Kress
Are today's Mixed Reality experience pillars and hardware architectures well aligned with the specific needs of medical imaging and surgical guidance? (Conference Presentation). Medical Imaging: Image Processing (2020)
Ruyi Lu, Weifang Zhu, Xuena Cheng, Xinjian Chen
Choroidal atrophy segmentation based on deep network with deep-supervision and EDT-auxiliary-loss. Medical Imaging: Image Processing (2020)
Junchi Liu, Jie Deng
Artifact reduction in brain magnetic resonance imaging (MRI) by means of a dense residual network with K-space blending (DRN-KB). Medical Imaging: Image Processing (2020)
Yuanyuan Peng, Weifang Zhu, Feng Chen, Daoman Xiang, Xinjian Chen
Automated retinopathy of prematurity screening using deep neural network with attention mechanism. Medical Imaging: Image Processing (2020)
Dariya I. Malyarenko, Yuxi Pang, Ghoncheh Amouzandeh, Thomas L. Chenevert
Numerical DWI phantoms to optimize accuracy and precision of quantitative parametric maps for non-Gaussian diffusion. Medical Imaging: Image Processing (2020)
Yongpei Zhu, Zicong Zhou, Guojun Liao, Kehong Yuan
New loss functions for medical image registration based on VoxelMorph. Medical Imaging: Image Processing (2020)
Fumin Guo, Matthew Ng, Graham A. Wright
Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models. Medical Imaging: Image Processing (2020)
Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Outlier guided optimization of abdominal segmentation. Medical Imaging: Image Processing (2020)
Xinxin Zhou, Xinjian Chen, Shuanglang Feng, Fei Shi
An improved U-Net for nerve fibre segmentation in confocal corneal microscopy images. Medical Imaging: Image Processing (2020)
Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo
Anatomically informed data augmentation for functional MRI with applications to deep learning. Medical Imaging: Image Processing (2020)
Yuan Zhao, John David Spence, Bernard Chiu
Unsupervised local feature learning for sensitive three-dimensional ultrasound assessment of carotid atherosclerosis. Medical Imaging: Image Processing (2020)
Shuo Han, Jerry L. Prince, Aaron Carass
Reflection-equivariant convolutional neural networks improve segmentation over reflection augmentation. Medical Imaging: Image Processing (2020)
Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman
Semi-supervised multi-organ segmentation through quality assurance supervision. Medical Imaging: Image Processing (2020)
Jinzhu Su, Xinjian Chen, Yuhui Ma, Weifang Zhu, Fei Shi
Segmentation of choroid neovascularization in OCT images based on convolutional neural network with differential amplification blocks. Medical Imaging: Image Processing (2020)
Mona Schumacher, Andreas Genz, Mattias P. Heinrich
Weakly supervised pancreas segmentation based on class activation maps. Medical Imaging: Image Processing (2020)
Dengsen Bao, Xuena Cheng, Weifang Zhu, Fei Shi, Xinjian Chen
Attention multi-scale network for pigment epithelial detachment segmentation in OCT images. Medical Imaging: Image Processing (2020)
Xueli Chen, Yuan Zhao, John David Spence, Bernard Chiu
Development of a 3D carotid atlas for quantification of local volume change. Medical Imaging: Image Processing (2020)
Liangjiu Zhu, Weifang Zhu, Shuanglang Feng, Xinjian Chen
Fully automated segmentation of hyper-reflective foci in OCT images using a U-shape network. Medical Imaging: Image Processing (2020)
Joost van der Putten, Fons van der Sommen, Peter H. N. de With
Influence of decoder size for binary segmentation tasks in medical imaging. Medical Imaging: Image Processing (2020)
Christian Bürger, Jens von Berg, Astrid Franz, Tobias Klinder, Cristian Lorenz, Matthias Lenga
Combining deep learning and model-based segmentation for labeled spine CT segmentation. Medical Imaging: Image Processing (2020)
Yang Lei, Yabo Fu, Hui Mao, Walter J. Curran, Tian Liu, Xiaofeng Yang
Multi-modality MRI arbitrary transformation using unified generative adversarial networks. Medical Imaging: Image Processing (2020)
Yihao Liu, Lianrui Zuo, Aaron Carass, Yufan He, Angeliki Filippatou, Sharon D. Solomon, Shiv Saidha, Peter A. Calabresi, Jerry L. Prince
Variational intensity cross channel encoder for unsupervised vessel segmentation on OCT angiography. Medical Imaging: Image Processing (2020)
Kyungmoo Lee, Elliott H. Sohn, Honghai Zhang, Alexis K. Warren, Andreas Wahle, S. Scott Whitmore, Milan Sonka, Michael D. Abràmoff
Multiresolution LOGISMOS graph search for automated choroidal layer segmentation of 3D macular OCT scans. Medical Imaging: Image Processing (2020)
John S. H. Baxter, Pierre Jannin
Topology-aware activation layer for neural network image segmentation. Medical Imaging: Image Processing (2020)

volume 11313, 2020

Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020 Medical Imaging: Image Processing 11313 (2020)