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ORCIDIEEE Transactions on Medical Imaging, Volume 38
Volume 38, Number 1, January 2019
- Russell Bates
, Benjamin Irving, Bostjan Markelc, Jakob Kaeppler, Graham Brown, Ruth J. Muschel, J. Michael Brady, Vicente Grau, Julia A. Schnabel:
Segmentation of Vasculature From Fluorescently Labeled Endothelial Cells in Multi-Photon Microscopy Images. 1-10 - Dan Benjamini, Michal E. Komlosh, Nathan H. Williamson, Peter J. Basser:
Generalized Mean Apparent Propagator MRI to Measure and Image Advective and Dispersive Flows in Medicine and Biology. 11-20 - Miguel Hernández-Cabronero, Victor Sanchez, Ian Blanes, Francesc Auli-Llinas, Michael W. Marcellin, Joan Serra-Sagristà:
Mosaic-Based Color-Transform Optimization for Lossy and Lossy-to-Lossless Compression of Pathology Whole-Slide Images. 21-32 - Bilel Sdiri, Mounir Kaaniche, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jakob Elle:
Efficient Enhancement of Stereo Endoscopic Images Based on Joint Wavelet Decomposition and Binocular Combination. 33-45 - He Zhao, Huiqi Li, Sebastian Maurer-Stroh, Yuhong Guo, Qiuju Deng, Li Cheng:
Supervised Segmentation of Un-Annotated Retinal Fundus Images by Synthesis. 46-56 - Hamid Moradi, Shuo Tang, Septimiu E. Salcudean:
Toward Intra-Operative Prostate Photoacoustic Imaging: Configuration Evaluation and Implementation Using the da Vinci Research Kit. 57-68 - Henrik Skibbe, Marco Reisert, Ken Nakae, Akiya Watakabe, Junichi Hata, Hiroaki Mizukami, Hideyuki Okano, Tetsuo Yamamori, Shin Ishii:
PAT - Probabilistic Axon Tracking for Densely Labeled Neurons in Large 3-D Micrographs. 69-78 - Nader Mahmoud, Toby Collins, Alexandre Hostettler, Luc Soler, Christophe Doignon, José María Martínez Montiel:
Live Tracking and Dense Reconstruction for Handheld Monocular Endoscopy. 79-89 - Etienne Labyt, Marie-Constance Corsi, William Fourcault, Augustin Palacios Laloy, Francis Bertrand, Francois Lenouvel, Gilles Cauffet, Matthieu Le Prado, François Berger, Sophie Morales:
Magnetoencephalography With Optically Pumped 4He Magnetometers at Ambient Temperature. 90-98 - Bas Schipaanboord, Djamal Boukerroui, Devis Peressutti, Johan van Soest, Tim Lustberg, Timor Kadir, Andre Dekker, Wouter van Elmpt, Mark J. Gooding:
Can Atlas-Based Auto-Segmentation Ever Be Perfect? Insights From Extreme Value Theory. 99-106 - Yilei Li, Yonatan Winetraub, Orly Liba, Adam de la Zerda, Steven Chu:
Optimization of the Trade-Off Between Speckle Reduction and Axial Resolution in Frequency Compounding. 107-112 - Lexin Li, Jian Kang, Samuel N. Lockhart, Jenna Adams, William J. Jagust:
Spatially Adaptive Varying Correlation Analysis for Multimodal Neuroimaging Data. 113-123 - Trong N. Nguyen, Minh N. Do, Michael L. Oelze:
Visualization of the Intensity Field of a Focused Ultrasound Source In Situ. 124-133 - Jue Jiang, Yu-Chi Hu, Chia-Ju Liu, Darragh Halpenny, Matthew D. Hellmann, Joseph O. Deasy, Gig S. Mageras, Harini Veeraraghavan:
Multiple Resolution Residually Connected Feature Streams for Automatic Lung Tumor Segmentation From CT Images. 134-144 - Dong Liu, Danny Smyl, Jiangfeng Du:
A Parametric Level Set-Based Approach to Difference Imaging in Electrical Impedance Tomography. 145-155 - Sarah E. Gerard, Taylor J. Patton, Gary E. Christensen, John E. Bayouth, Joseph M. Reinhardt:
FissureNet: A Deep Learning Approach For Pulmonary Fissure Detection in CT Images. 156-166 - Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly:
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. 167-179 - Xin Yang, Lequan Yu, Shengli Li, Huaxuan Wen, Dandan Luo, Cheng Bian, Jing Qin, Dong Ni, Pheng-Ann Heng:
Towards Automated Semantic Segmentation in Prenatal Volumetric Ultrasound. 180-193 - Konstantinos Diamantis, Tom Anderson, Mairead B. Butler, Carlos Armando Villagomez Hoyos, Jørgen Arendt Jensen, Vassilis Sboros:
Resolving Ultrasound Contrast Microbubbles Using Minimum Variance Beamforming. 194-204 - Fei Xu, Zhong Ji, Qun Chen, Sihua Yang, Da Xing:
Nonlinear Thermoacoustic Imaging Based on Temperature-Dependent Thermoelastic Response. 205-212 - Annegreet van Opbroek, Hakim C. Achterberg, Meike W. Vernooij, Marleen de Bruijne:
Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning. 213-224 - Stefano Moriconi, Maria A. Zuluaga, Hans Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso:
Inference of Cerebrovascular Topology With Geodesic Minimum Spanning Trees. 225-239 - Tsung-Chen Chiang, Yao-Sian Huang, Rong-Tai Chen, Chiun-Sheng Huang, Ruey-Feng Chang:
Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation. 240-249 - Seungwan Jeon, Jihoon Park, Ravi Managuli, Chulhong Kim:
A Novel 2-D Synthetic Aperture Focusing Technique for Acoustic-Resolution Photoacoustic Microscopy. 250-260 - Nicholas Dwork, Gennifer T. Smith, Theodore Leng, John M. Pauly, Audrey K. Bowden:
Automatically Determining the Confocal Parameters From OCT B-Scans for Quantification of the Attenuation Coefficients. 261-268 - Junjie Hu, Yuanyuan Chen, Jie Zhong, Rong Ju, Zhang Yi:
Automated Analysis for Retinopathy of Prematurity by Deep Neural Networks. 269-279 - Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert:
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. 280-290 - Daniela Zöller, Thomas William Arthur Bolton, Fikret Isik Karahanoglu, Stephan Eliez, Marie Schaer, Dimitri Van De Ville:
Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression. 291-302 - Declan O'Loughlin, Barbara Luz Oliveira, Adam Santorelli, Emily Porter, Martin Glavin, Edward Jones, Milica Popovic, Martin O'Halloran:
Sensitivity and Specificity Estimation Using Patient-Specific Microwave Imaging in Diverse Experimental Breast Phantoms. 303-311 - Jingyuan Lyu, Ukash Nakarmi, Dong Liang, Jinhua Sheng, Leslie Ying:
KerNL: Kernel-Based Nonlinear Approach to Parallel MRI Reconstruction. 312-321
Volume 38, Number 2, February 2019
- Yeo Hun Yoon, Shujaat Khan, Jaeyoung Huh, Jong Chul Ye:
Efficient B-Mode Ultrasound Image Reconstruction From Sub-Sampled RF Data Using Deep Learning. 325-336 - Yinsheng Li, Guang-Hong Chen:
An Empirical Data Inconsistency Metric (DIM) Driven CT Image Reconstruction Method. 337-348 - Yicun Wang, Pierre-François van de Moortele, Bin He:
CONtrast Conformed Electrical Properties Tomography (CONCEPT) Based on Multi- Channel Transmission and Alternating Direction Method of Multipliers. 349-359 - Sui Li, Dong Zeng, Jiangjun Peng, Zhaoying Bian, Hao Zhang, Qi Xie, Yongbo Wang, Yuting Liao, Shanli Zhang, Jing Huang, Deyu Meng, Zongben Xu, Jianhua Ma:
An Efficient Iterative Cerebral Perfusion CT Reconstruction via Low-Rank Tensor Decomposition With Spatial-Temporal Total Variation Regularization. 360-370 - Ji He, Yan Yang, Yongbo Wang, Dong Zeng, Zhaoying Bian, Hao Zhang, Jian Sun, Zongben Xu, Jianhua Ma:
Optimizing a Parameterized Plug-and-Play ADMM for Iterative Low-Dose CT Reconstruction. 371-382 - Julien Pansiot, Edmond Boyer:
CBCT of a Moving Sample From X-Rays and Multiple Videos. 383-393 - Hemant Kumar Aggarwal, Merry P. Mani, Mathews Jacob:
MoDL: Model-Based Deep Learning Architecture for Inverse Problems. 394-405 - Bastien Rigaud, Antoine Simon, Maxime Gobeli, Julie Leseur, Loig Duverge, Danièle Williaume, Joël Castelli, Caroline Lafond, Oscar Acosta, Pascal Haigron, Renaud de Crevoisier:
Statistical Shape Model to Generate a Planning Library for Cervical Adaptive Radiotherapy. 406-416 - Zenith Purisha, Sakari S. Karhula, Juuso H. Ketola, Juho Rimpelainen, Miika T. Nieminen, Simo Saarakkala, Heikki Kroger, Samuli Siltanen:
An Automatic Regularization Method: An Application for 3-D X-Ray Micro-CT Reconstruction Using Sparse Data. 417-425 - Nils Gessert, Matthias Lutz, Markus Heyder, Sarah Latus, David M. Leistner, Youssef S. Abdelwahed, Alexander Schlaefer:
Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks. 426-434 - Jun Zhang, Ashirbani Saha, Zhe Zhu, Maciej A. Mazurowski:
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics. 435-447 - Peter Naylor, Marick Lae, Fabien Reyal, Thomas Walter:
Segmentation of Nuclei in Histopathology Images by Deep Regression of the Distance Map. 448-459 - Uditha L. Jayarathne, Elvis C. S. Chen, John Moore, Terry M. Peters:
Robust, Intrinsic Tracking of a Laparoscopic Ultrasound Probe for Ultrasound-Augmented Laparoscopy. 460-469 - Seyed Sadegh Mohseni Salehi, Shadab Khan, Deniz Erdogmus, Ali Gholipour:
Real-Time Deep Pose Estimation With Geodesic Loss for Image-to-Template Rigid Registration. 470-481 - Francois Parent, Maxime Gerard, Frederic Monet, Sebastien Loranger, Gilles Soulez, Raman Kashyap, Samuel Kadoury:
Intra-Arterial Image Guidance With Optical Frequency Domain Reflectometry Shape Sensing. 482-492 - Abd-Krim Seghouane, Navid Shokouhi:
Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis. 493-503 - Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation From Image Collections. 504-514 - Zhaohan Xiong, Vadim V. Fedorov, Xiaohang Fu, Elizabeth Cheng, Rob S. MacLeod, Jichao Zhao:
Fully Automatic Left Atrium Segmentation From Late Gadolinium Enhanced Magnetic Resonance Imaging Using a Dual Fully Convolutional Neural Network. 515-524 - Ting Yang, Steven M. Pogwizd, Gregory P. Walcott, Long Yu, Bin He:
Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain - Application to Mapping Reentrant Ventricular Tachycardia. 525-539 - Abhijit Guha Roy, Nassir Navab, Christian Wachinger:
Recalibrating Fully Convolutional Networks With Spatial and Channel "Squeeze and Excitation" Blocks. 540-549 - Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. 550-560 - Mohamed A. Naser, Diego R. T. Sampaio, Nina M. Munoz, Cayla A. Wood, Trevor M. Mitcham, Wolfgang Stefan, Konstantin V. Sokolov, Theo Z. Pavan, Rony Avritscher, Richard R. Bouchard:
Improved Photoacoustic-Based Oxygen Saturation Estimation With SNR-Regularized Local Fluence Correction. 561-571 - Sourav Pramanik, Debapriya Banik, Debotosh Bhattacharjee, Mita Nasipuri, Mrinal Kanti Bhowmik, Gautam Majumdar:
Suspicious-Region Segmentation From Breast Thermogram Using DLPE-Based Level Set Method. 572-584 - Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen:
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. 585-595 - John A. Onofrey, Lawrence H. Staib, Xenophon Papademetris:
Segmenting the Brain Surface From CT Images With Artifacts Using Locally Oriented Appearance and Dictionary Learning. 596-607 - Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu:
Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases. 608-616 - Jingxin Liu, Bolei Xu, Chi Zheng, Yuanhao Gong, Jon Garibaldi, Daniele Soria, Andrew R. Green, Ian O. Ellis, Wenbin Zou, Guoping Qiu:
An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. 617-628 - Tao Feng, Jizhe Wang, Yun Dong, Jun Zhao, Hongdi Li:
A Novel Data-Driven Cardiac Gating Signal Extraction Method for PET. 629-637 - Gijs van Tulder, Marleen de Bruijne:
Learning Cross-Modality Representations From Multi-Modal Images. 638-648 - Regine Gradl, Regine Morgan, Martin Dierolf, Christoph Jud, Lorenz Hehn, Benedikt Gunther, Winfried Moller, David Kutschke, Lin Yang, Tobias Stoeger, Daniela Pfeiffer, Bernhard Gleich, Klaus Achterhold, Otmar Schmid, Franz Pfeiffer:
Dynamic In Vivo Chest X-ray Dark-Field Imaging in Mice. 649-656
Volume 38, Number 3, March 2019
- Jiehan Hong, Min Su, Yanyan Yu, Zhiqiang Zhang, Rong Liu, Yaocai Huang, Peitian Mu, Hairong Zheng, Weibao Qiu:
A Dual-Mode Imaging Catheter for Intravascular Ultrasound Application. 657-663 - Guobao Wang:
High Temporal-Resolution Dynamic PET Image Reconstruction Using a New Spatiotemporal Kernel Method. 664-674 - Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Jaewon Yang, Youngho Seo, Georges El Fakhri, Jinyi Qi, Quanzheng Li:
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. 675-685 - Ravi K. Samala, Heang-Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Caleb D. Richter, Kenny H. Cha:
Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets. 686-696 - Mark He, Suzanne L. Baker, Vyoma D. Shah, Samuel N. Lockhart, William J. Jagust:
Scan-Time Corrections for 80-100-min Standardizetd Uptake Volume Ratios to Measure the 18F-AV-1451 Tracer for Tau Imaging. 697-709 - Mark R. Elliott, Dan Kim, David S. Molony, Liam Morris, Habib Samady, Sarang C. Joshi, Lucas H. Timmins:
Establishment of an Automated Algorithm Utilizing Optical Coherence Tomography and Micro-Computed Tomography Imaging to Reconstruct the 3-D Deformed Stent Geometry. 710-720 - Koen Salvo, Michel Defrise:
A Convergence Proof of MLEM and MLEM-3 With Fixed Background. 721-729 - Jonghye Woo, Jerry L. Prince, Maureen Stone, Fangxu Xing, Arnold D. Gomez, Jordan R. Green, Christopher J. Hartnick, Thomas J. Brady, Timothy G. Reese, Van J. Wedeen, Georges El Fakhri:
A Sparse Non-Negative Matrix Factorization Framework for Identifying Functional Units of Tongue Behavior From MRI. 730-740 - Nora Ouzir, Adrian Basarab, Olivier Lairez, Jean-Yves Tourneret:
Robust Optical Flow Estimation in Cardiac Ultrasound Images Using a Sparse Representation. 741-752 - Ioannis Androulakis, Marguerite E. Faure, Ricardo P. J. Budde, Theo van Walsum:
Automated Quantification of Bileaflet Mechanical Heart Valve Leaflet Angles in CT Images. 753-761 - Seung Yeon Shin, Soochahn Lee, Il Dong Yun, Sun Mi Kim, Kyoung Mu Lee:
Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images. 762-774 - Madison Kretzler, Jesse I. Hamilton, Mark A. Griswold, Nicole Seiberlich:
a-f BLAST: Non-Iterative Radial k-t BLAST Reconstruction for Real-Time Imaging. 775-790 - Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang:
Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition. 791-801 - Mengfei Li, Yunsong Zhao, Peng Zhang:
Accurate Iterative FBP Reconstruction Method for Material Decomposition of Dual Energy CT. 802-812 - Mikel Ariz, Ricardo C. Abad, Gabriel Castellanos, Martin Martinez, Arrate Muñoz-Barrutia, María A. Fernández-Seara, Pau Pastor, María A. Pastor, Carlos Ortiz-de-Solorzano:
Dynamic Atlas-Based Segmentation and Quantification of Neuromelanin-Rich Brainstem Structures in Parkinson Disease. 813-823 - Jhy-Neng Tasso Yeh, Jo-Fu Lotus Lin, Yi-Tien Li, Fa-Hsuan Lin:
A Flexible and Modular Receiver Coil Array for Magnetic Resonance Imaging. 824-833 - Daan Christiaens, Lucilio Cordero-Grande, Jana Hutter, Anthony N. Price, Maria Deprez, Joseph V. Hajnal, Jacques-Donald Tournier:
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI. 834-843 - Bo Zhao, Justin P. Haldar, Congyu Liao, Dan Ma, Yun Jiang, Mark A. Griswold, Kawin Setsompop, Lawrence L. Wald:
Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics. 844-861 - Carlos Castilla, Martin Maska, Dmitry V. Sorokin, Erik Meijering, Carlos Ortiz-de-Solorzano:
3-D Quantification of Filopodia in Motile Cancer Cells. 862-872
Volume 38, Number 4, April 2019
- Fabio Baselice, Antonietta Sorriso, Rosaria Rucco, Pierpaolo Sorrentino:
Phase Linearity Measurement: A Novel Index for Brain Functional Connectivity. 873-882 - Mark R. Winter, Walter C. Mankowski, Eric Wait, Edgar Cardenas De La Hoz, Angeline Aguinaldo, Andrew R. Cohen:
Separating Touching Cells Using Pixel Replicated Elliptical Shape Models. 883-893 - Piotr Kijanka, Matthew W. Urban:
Local Phase Velocity Based Imaging: A New Technique Used for Ultrasound Shear Wave Elastography. 894-908 - Changqing Zhang, Ehsan Adeli, Zhengwang Wu, Gang Li, Weili Lin, Dinggang Shen:
Infant Brain Development Prediction With Latent Partial Multi-View Representation Learning. 909-918 - Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice S. Lee, Ulas Bagci:
Deep Geodesic Learning for Segmentation and Anatomical Landmarking. 919-931 - Patryk Szwargulski, Martin Möddel, Nadine Gdaniec, Tobias Knopp:
Efficient Joint Image Reconstruction of Multi-Patch Data Reusing a Single System Matrix in Magnetic Particle Imaging. 932-944 - Wenyuan Li, Jiayun Li, Karthik V. Sarma, King Chung Ho, Shiwen Shen, Beatrice S. Knudsen, Arkadiusz Gertych, Corey W. Arnold:
Path R-CNN for Prostate Cancer Diagnosis and Gleason Grading of Histological Images. 945-954 - Milana Gataric, George S. D. Gordon, Francesco Renna, Alberto Gil C. P. Ramos, Maria P. Alcolea, Sarah E. Bohndiek:
Reconstruction of Optical Vector-Fields With Applications in Endoscopic Imaging. 955-967 - Stefano Vespucci, Chan Soo Park, Raul Torrico, Mini Das:
Robust Energy Calibration Technique for Photon Counting Spectral Detectors. 968-978 - Arvind Balachandrasekaran, Merry Mani, Mathews Jacob:
Calibration-Free B0 Correction of EPI Data Using Structured Low Rank Matrix Recovery. 979-990 - Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai:
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. 991-1004 - Hillel B. Price, Julia S. Kimbell, Ruofei Bu, Amy L. Oldenburg:
Geometric Validation of Continuous, Finely Sampled 3-D Reconstructions From aOCT and CT in Upper Airway Models. 1005-1015 - Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. 1016-1025 - Alireza Mehrtash, Mohsen Ghafoorian, Guillaume Pernelle, Alireza Ziaei, Friso G. Heslinga, Kemal Tuncali, Andriy Fedorov, Ron Kikinis, Clare M. Tempany, William M. Wells III, Purang Abolmaesumi, Tina Kapur:
Automatic Needle Segmentation and Localization in MRI With 3-D Convolutional Neural Networks: Application to MRI-Targeted Prostate Biopsy. 1026-1036 - Philipp Seeböck, Sebastian M. Waldstein, Sophie Klimscha, Hrvoje Bogunovic, Thomas Schlegl, Bianca S. Gerendas, Rene Donner, Ursula Schmidt-Erfurth, Georg Langs:
Unsupervised Identification of Disease Marker Candidates in Retinal OCT Imaging Data. 1037-1047 - Johannes G. G. Dobbe, Marieke G. A. de Roo, Jim C. Visschers, Simon D. Strackee, Geert J. Streekstra:
Evaluation of a Quantitative Method for Carpal Motion Analysis Using Clinical 3-D and 4-D CT Protocols. 1048-1057 - Han Wang, Shijie Zhao, Qinglin Dong, Yan Cui, Yaowu Chen, Junwei Han, Li Xie, Tianming Liu:
Recognizing Brain States Using Deep Sparse Recurrent Neural Network. 1058-1068 - Andru Putra Twinanda, Gaurav Yengera, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual Annotations. 1069-1078 - Weiwen Wu, Fenglin Liu, Yanbo Zhang, Qian Wang, Hengyong Yu:
Non-Local Low-Rank Cube-Based Tensor Factorization for Spectral CT Reconstruction. 1079-1093
Volume 38, Number 5, May 2019
- Koen A. J. Eppenhof, Josien P. W. Pluim:
Pulmonary CT Registration Through Supervised Learning With Convolutional Neural Networks. 1097-1105 - Haoyi Liang, Natalia Dabrowska, Jaideep Kapur, Daniel S. Weller:
Structure-Based Intensity Propagation for 3-D Brain Reconstruction With Multilayer Section Microscopy. 1106-1115 - Jose Dolz, Karthik Gopinath, Jing Yuan, Herve Lombaert, Christian Desrosiers, Ismail Ben Ayed:
HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation. 1116-1126