| 2019 | 3D bifurcations characterization for intra-cranial aneurysms prediction. Anass Nouri, Florent Autrusseau, Romain Bourcier, Alban Gaignard, Vincent L'Allinec, Celine Menguy, Joëlle Veziers, Hubert Desal, Gervaise Loirand, Richard Redon |
| 2019 | A CNN based retinal regression model for Bruch's membrane opening detection. Yuhe Shen, Liling Guan, Kai Yu, Xinjian Chen |
| 2019 | A computational method to aid the detection and annotation of pleural lesions in CT images of the thorax. Azael de Melo e Sousa, Alexandre Xavier Falcão, Ericson Bagatin, Gustavo Souza Meirelles |
| 2019 | A fully automated CT-based airway segmentation algorithm using deep learning and topological leakage detection and branch augmentation approaches. Syed Ahmed Nadeem, Eric A. Hoffman, Punam K. Saha |
| 2019 | A generative-predictive framework to capture altered brain activity in fMRI and its association with genetic risk: application to Schizophrenia. Sayan Ghosal, Qiang Chen, Aaron L. Goldman, William Ulrich, Karen Faith Berman, Daniel R. Weinberger, Venkata S. Mattay, Archana Venkataraman |
| 2019 | A probabilistic approach for the registration of images with missing correspondences. Julia Krüger, Jan Ehrhardt, Sandra Schultz, Heinz Handels |
| 2019 | A robust index for global tissue deformation analysis in ultrasound images. Arnaud Brignol, Farida Cheriet, Catherine Laporte |
| 2019 | Accurate registration of in vivo time-lapse images. Seyed M. M. Kahaki, Shih-Luen Wang, Armen Stepanyants |
| 2019 | Active shape dictionary for automatic segmentation of pathological lung in low-dose CT image. Geng Chen, Dehui Xiang, Haihong Tian, Bin Zhang, Weifang Zhu, Fei Shi, Xinjian Chen |
| 2019 | An automatic end-to-end pipeline for CT image-based EGFR mutation status classification. Lin Tian, Rong Yuan |
| 2019 | Analysis of the kinematic motion of the wrist from 4D magnetic resonance imaging. Batool Abbas, James Fishbaugh, Catherine Petchprapa, Riccardo Lattanzi, Guido Gerig |
| 2019 | Approximation of a pipeline of unsupervised retina image analysis methods with a CNN. Friso G. Heslinga, Josien P. W. Pluim, Behdad Dashtbozorg, Tos T. J. M. Berendschot, A. J. H. M. Houben, Ronald M. A. Henry, Mitko Veta |
| 2019 | Artificial neural network filters for enhancing 3D optical microscopy images of neurites. Shih-Luen Wang, Seyed M. M. Kahaki, Armen Stepanyants |
| 2019 | Automated prostate segmentation of volumetric CT images using 3D deeply supervised dilated FCN. Bo Wang, Yang Lei, Tonghe Wang, Xue Dong, Sibo Tian, XiaoJun Jiang, Ashesh B. Jani, Tian Liu, Walter J. Curran, Pretesh Patel, Xiaofeng Yang |
| 2019 | Automated segmentation of the optic disc using the deep learning. Lei Wang, Han Liu, Jian Zhang, Hang Chen, Jiantao Pu |
| 2019 | Automatic cardiac landmark localization by a recurrent neural network. Mike van Zon, Mitko Veta, Shuo Li |
| 2019 | Automatic dental root CBCT image segmentation based on CNN and level set method. Jun Ma, Xiaoping Yang |
| 2019 | Automatic detection of the region of interest in corneal endothelium images using dense convolutional neural networks. Juan Pedro Vigueras-Guillén, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer, Lucas J. van Vliet |
| 2019 | Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation). Tanveer F. Syeda-Mahmood, Hui Tang |
| 2019 | Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior. Pedro Morais, Sandro F. Queiros, Carla Pereira, António H. J. Moreira, Maria J. Baptista, Nuno F. Rodrigues, Jan D'hooge, Daniel Barbosa, João L. Vilaça |
| 2019 | Automatic quality control using hierarchical shape analysis for cerebellum parcellation. Lianrui Zuo, Shuo Han, Aaron Carass, Sarah H. Ying, Chiadikaobi U. Onyike, Jerry L. Prince |
| 2019 | 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 |
| 2019 | Automatic two-chamber segmentation in cardiac CTA using 3D fully convolutional neural networks. Yan Yang, Osama Masoud |
| 2019 | Bayesian inference for uncertainty quantification in point-based deformable image registration. Sandra Schultz, Julia Krüger, Heinz Handels, Jan Ehrhardt |
| 2019 | Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization. Nils Gessert, Sarah Latus, Youssef S. Abdelwahed, David M. Leistner, Matthias Lutz, Alexander Schlaefer |
| 2019 | Body part and imaging modality classification for a general radiology cognitive assistant. Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood |
| 2019 | Brain network identification in asynchronous task fMRI data using robust and scalable tensor decomposition. Jian Li, Jessica L. Wisnowski, Anand A. Joshi, Richard M. Leahy |
| 2019 | CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network. Frank Zijlstra, Koen Willemsen, Mateusz C. Florkow, Ralph J. B. Sakkers, Harrie H. Weinans, Bart C. H. van der Wal, Marijn van Stralen, Peter R. Seevinck |
| 2019 | Cerebellum parcellation with convolutional neural networks. Shuo Han, Yufan He, Aaron Carass, Sarah H. Ying, Jerry L. Prince |
| 2019 | Choroid segmentation in OCT images based on improved U-net. Xuena Cheng, Xinjian Chen, Yuhui Ma, Weifang Zhu, Ying Fan, Fei Shi |
| 2019 | Constructing an average geometry and diffusion tensor magnetic resonance field from freshly explanted porcine hearts. Mia Mojica, Mihaela Pop, Maxime Sermesant, Mehran Ebrahimi |
| 2019 | Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman |
| 2019 | Cycle-consistent 3D-generative adversarial network for virtual bowel cleansing in CT colonography. Janne J. Näppi, Hiroyuki Yoshida |
| 2019 | Deep learning based classification for metastasis of hepatocellular carcinoma with microscopic images. Hui Meng, Yuan Gao, Kun Wang, Jie Tian |
| 2019 | Deep learning for inverse imaging problems: some recent approaches (Conference Presentation). Carola-Bibiane Schönlieb |
| 2019 | Deep learning-based stenosis quantification from coronary CT angiography. Youngtaek Hong, Frederic Commandeur, Sebastien Cadet, Markus Goeller, Mhairi Doris, Xi Chen, Jacek Kwiecinski, Daniel S. Berman, Piotr J. Slomka, Hyuk-Jae Chang, Damini Dey |
| 2019 | Deep residual dense U-Net for resolution enhancement in accelerated MRI acquisition. Pak Lun Kevin Ding, Zhiqiang Li, Yuxiang Zhou, Baoxin Li |
| 2019 | Detecting connectivity changes in autism spectrum disorder using large-scale Granger causality. Anas Z. Abidin, Adora M. DSouza, Axel Wismüller |
| 2019 | Direct prediction of cardiovascular mortality from low-dose chest CT using deep learning. Sanne G. M. van Velzen, Majd Zreik, Nikolas Leßmann, Max A. Viergever, Pim A. de Jong, Helena M. Verkooijen, Ivana Isgum |
| 2019 | Discrimination of benign and malignant pulmonary tumors in computed tomography: effective priori information of fast learning network architecture. Hao-Jen Wang, Leng-Rong Chen, Li-Wei Chen, Yi-Chang Chen, Shun-Mao Yang, Mong-Wei Lin, Joseph Chang, Chia-Chen Li, Chia-Yen Lee, Jin-Shing Chen, Yeun-Chung Chang, Chung-Ming Chen |
| 2019 | Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham |
| 2019 | Effect of statistical mismatch between training and test images for CNN-based deformable registration. Michael D. Ketcha, Tharindu De Silva, Runze Han, Ali Uneri, Sebastian Vogt, Gerhard Kleinszig, Jeffrey H. Siewerdsen |
| 2019 | Evaluating the impact of intensity normalization on MR image synthesis. Jacob C. Reinhold, Blake E. Dewey, Aaron Carass, Jerry L. Prince |
| 2019 | Evolutionary multi-objective meta-optimization of deformation and tissue removal parameters improves the performance of deformable image registration of pre- and post-surgery images. Kleopatra Pirpinia, Peter A. N. Bosman, Jan-Jakob Sonke, Marcel van Herk, Tanja Alderliesten |
| 2019 | Fourier decomposition free-breathing H MRI perfusion maps in asthma. Alexander M. Matheson, Dante P. I. Capaldi, Fumin Guo, Rachel L. Eddy, David G. McCormack, Grace Parraga |
| 2019 | Framework for the co-registration of MRI and histology images in prostate cancer patients with radical prostatectomy. Mirabela Rusu, Christian Kunder, Richard E. Fan, Pejman Ghanouni, Robert B. West, Geoffrey A. Sonn, James D. Brooks |
| 2019 | Fully automated detection and quantification of multiple retinal lesions in OCT volumes based on deep learning and improved DRLSE. Liling Guan, Kai Yu, Xinjian Chen |
| 2019 | Fully automated unruptured intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network. Hailan Jin, Yin Yin, Minghui Hu, Guangming Yang, Lan Qin |
| 2019 | Generation of retinal OCT images with diseases based on cGAN. Xuewei Zha, Fei Shi, Yuhui Ma, Weifang Zhu, Xinjian Chen |
| 2019 | Group-wise alignment of resting fMRI in space and time. Haleh Akrami, Anand A. Joshi, Jian Li, Richard M. Leahy |
| 2019 | Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen A. Williams, Susan M. Resnick, Lori L. Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman |
| 2019 | Image-domain multi-material decomposition for dual-energy CT with non-convex sparsity regularization. Qihui Lyu, Daniel O'Connor, Tianye Niu, Ke Sheng |
| 2019 | Improved estimation of dynamic connectivity from resting-state fMRI data. Biao Cai, Julia M. Stephen, Tony W. Wilson, Vince D. Calhoun, Yu-Ping Wang |
| 2019 | Improving V-Nets for multi-class abdominal organ segmentation. Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori |
| 2019 | Improving myocardium segmentation in cardiac CT angiography using spectral information. Steffen Bruns, Jelmer M. Wolterink, Robbert W. van Hamersvelt, Majd Zreik, Tim Leiner, Ivana Isgum |
| 2019 | Improving splenomegaly segmentation by learning from heterogeneous multi-source labels. Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman |
| 2019 | Incorporating CT prior information in the robust fuzzy C-means algorithm for QSPECT image segmentation. Junyu Chen, Abhinav K. Jha, Eric C. Frey |
| 2019 | Interpretable explanations of black box classifiers applied on medical images by meaningful perturbations using variational autoencoders. Hristina Uzunova, Jan Ehrhardt, Timo Kepp, Heinz Handels |
| 2019 | Is hippocampus getting bumpier with age: a quantitative analysis of fine-scale dentational feature under the hippocampus on 552 healthy subjects. Shuxiu Cai, Xiaxia Yu, Qiaochu Zhang, Chuan Huang, Yi Gao |
| 2019 | Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework. Qihui Lyu, Dan Ruan, John M. Hoffman, Ryan Neph, Michael F. McNitt-Gray, Ke Sheng |
| 2019 | Left ventricle segmentation in LGE-MRI using multiclass learning. Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig |
| 2019 | Lesion focused super-resolution. Jin Zhu, Guang Yang, Pietro Lió |
| 2019 | Local and global transformations to improve learning of medical images applied to chest radiographs. Vidya M. S., Manikanda Krishnan V., Anirudh G., Srinivasa Rao Kundeti, J. Vijayananda |
| 2019 | Localization and labeling of cervical vertebral bones in the micro-CT images of rabbit fetuses using a 3D deep convolutional neural network. Antong Chen, Dahai Xue, Tosha Shah, Catherine D. G. Hines, Alexa Gleason, Manishkumar Patel, Barbara Robinson, Britta Mattson, Belma Dogdas |
| 2019 | Longitudinal structural connectivity in the developing brain with projective non-negative matrix factorization. Heejong Kim, Joseph Piven, Guido Gerig |
| 2019 | Lung cancer detection using co-learning from chest CT images and clinical demographics. Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman |
| 2019 | MRI-based synthetic CT generation using deep convolutional neural network. Yang Lei, Tonghe Wang, Yingzi Liu, Kristin Higgins, Sibo Tian, Tian Liu, Hui Mao, Hyunsuk Shim, Walter J. Curran, Hui-Kuo Shu, Xiaofeng Yang |
| 2019 | Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019 Elsa D. Angelini, Bennett A. Landman |
| 2019 | Model selection for spatiotemporal modeling of early childhood sub-cortical development. James Fishbaugh, Beatriz Paniagua, Mahmoud Mostapha, Martin Styner, Veronica Murphy, John H. Gilmore, Guido Gerig |
| 2019 | Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network. Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman |
| 2019 | Multi-coil magnetic resonance imaging reconstruction with a Markov random field prior. Marko Panic, Jan Aelterman, Vladimir S. Crnojevic, Aleksandra Pizurica |
| 2019 | Multi-modal image fusion for multispectral super-resolution in microscopy. Neel Dey, Shijie Li, Katharina Bermond, Rainer Heintzmann, Christine A. Curcio, Thomas Ach, Guido Gerig |
| 2019 | Multiscale deep desmoking for laparoscopic surgery. Congcong Wang, Ahmed Kedir Mohammed, Faouzi Alaya Cheikh, Azeddine Beghdadi, Ole Jacob Elle |
| 2019 | Non-learning based deep parallel MRI reconstruction (NLDpMRI). Ali Pour Yazdanpanah, Onur Afacan, Simon K. Warfield |
| 2019 | Nuclei counting in microscopy images with three dimensional generative adversarial networks. Shuo Han, Soonam Lee, Chichen Fu, Paul Salama, Kenneth W. Dunn, Edward J. Delp |
| 2019 | Objects characterization-based approach to enhance detection of degree of malignancy in breast cancer histopathology. Pedro Furtado |
| 2019 | Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. Ze Jin, Jayaram K. Udupa, Drew A. Torigian |
| 2019 | Offset regression networks for view plane estimation in 3D fetal ultrasound. Alexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Matthias Lenga, Robert Trahms, Earl Canfield, David Roundhill, Cristian Lorenz |
| 2019 | Optimal input configuration of dynamic contrast enhanced MRI in convolutional neural networks for liver segmentation. Mariëlle J. A. Jansen, Hugo J. Kuijf, Josien P. W. Pluim |
| 2019 | Orbital bone segmentation in head and neck CT images using multi-gray level fully convolutional networks. Min Jin Lee, Helen Hong, Kyu Won Shim, Seongeun Park |
| 2019 | PADDIT: Probabilistic Augmentation of Data using Diffeomorphic Image Transformation. Mauricio Orbes-Arteaga, Lauge Sørensen, Manuel Jorge Cardoso, Marc Modat, Sébastien Ourselin, Stefan Sommer, Mads Nielsen, Christian Igel, Akshay Pai |
| 2019 | Predicting cognitive scores from resting fMRI data and geometric features of the brain. Anand A. Joshi, Jian Li, Haleh Akrami, Richard M. Leahy |
| 2019 | Predicting histopathological findings of gastric cancer via deep generalized multi-instance learning. Mengjie Fang, Wenjuan Zhang, Di Dong, Junlin Zhou, Jie Tian |
| 2019 | Progressively growing convolutional networks for end-to-end deformable image registration. Koen A. J. Eppenhof, Maxime W. Lafarge, Josien P. W. Pluim |
| 2019 | Projection image-to-image translation in hybrid x-ray/MR imaging. Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier |
| 2019 | Pulmonary lobar segmentation from computed tomography scans based on a statistical finite element analysis of lobe shape. Yuwen Zhang, Mahyar Osanlouy, Alys R. Clark, Hari Kumar, Clair King, Margaret L. Wilsher, David G. Milne, Eric A. Hoffman, Merryn H. Tawhai |
| 2019 | Quantitative and qualitative methods for efficient evaluation of multiple 3D organ segmentations. Volker Dicken, Annika Hänsch, Jan Hendrik Moltz, Benjamin Haas, Thomas Coradi, Tomasz Morgas, Jan Klein |
| 2019 | Reduction of unnecessary thyroid biopsies using deep learning. Zeynettin Akkus, Arunnit Boonrod, Mahfuzur R. Siddiquee, Kenneth A. Philbrick, Marius N. Stan, Regina M. Castro, Dana Erickson, Matthew R. Callstrom, Bradley J. Erickson |
| 2019 | Region-guided adversarial learning for anatomical landmark detection in uterus ultrasound image. Hong Joo Lee, Hak Gu Kim, Hyenok Park, Dongkuk Shin, Yong Man Ro |
| 2019 | Regularized topological data analysis for extraction of coherent brain regions. Ishaan Batta, Nicolas Honnorat, Christos Davatzikos |
| 2019 | Renal parenchyma segmentation from abdominal CT images using multi-atlas method with intensity and shape constraints. Hyeonjin Kim, Helen Hong, Kidon Chang, Koon Ho Rha |
| 2019 | Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocols. Yunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman |
| 2019 | Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data. Jorge Samper-González, Ninon Burgos, Simona Bottani, Marie Odile Habert, Theodoros Evgeniou, Stéphane Epelbaum, Olivier Colliot |
| 2019 | Robust discomfort detection for infants using an unsupervised roll estimation. Cheng Li, Arash Pourtaherian, Walther E. Tjon a Ten, Peter H. N. de With |
| 2019 | Robust harmonic field based tooth segmentation in real-life noisy scanned mesh. Jaedong Hwang, Sanghyeok Park, Seokjin Lee, Yeong-Gil Shin |
| 2019 | Segmentation of corneal optical coherence tomography images using Graph Search and Radon transform. Amr S. Elsawy, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha |
| 2019 | Segmentation of corneal optical coherence tomography images using randomized Hough transform. Amr S. Elsawy, Mohamed Abdel-Mottaleb, Mohamed Abou Shousha |
| 2019 | Self-consistent deep learning-based boosting of 4D cone-beam computed tomography reconstruction. Frederic Madesta, Tobias Gauer, Thilo Sentker, René Werner |
| 2019 | Semantic segmentation of computed tomography for radiotherapy with deep learning: compensating insufficient annotation quality using contour augmentation. Umair Javaid, Damien Dasnoy, John A. Lee |
| 2019 | Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces. Sandro F. Queiros, Pedro Morais, Jaime C. Fonseca, Jan D'hooge, João L. Vilaça |
| 2019 | Semi-automatic segmentation of JIA-induced inflammation in MRI images of ankle joints. Anqi Wang, Andreas Franke, Stefan Wesarg |
| 2019 | Shape-based three-dimensional body composition extrapolation using multimodality registration. Yao Lu, James K. Hahn |
| 2019 | Sharpness preserved sinogram synthesis using convolutional neural network for sparse-view CT imaging. Jiaxing Tan, Yongfeng Gao, Yumei Huo, Lihong Li, Zhengrong Liang |
| 2019 | Simultaneous MR knee image segmentation and bias field correction using deep learning and partial convolution. Fengkai Wan, Örjan Smedby, Chunliang Wang |
| 2019 | Simultaneous and automatic two surface detection of renal cortex in 3D CT images by enhanced sparse shape composition. Haihong Tian, Geng Chen, Dehui Xiang, Xinjian Chen |
| 2019 | Sparse low-dimensional causal modeling for the analysis of brain function. Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos |
| 2019 | Spatial integration of radiology and pathology images to characterize breast cancer aggressiveness on pre-surgical MRI. Mirabela Rusu, Bruce Daniel, Robert B. West |
| 2019 | Stack-U-Net: refinement network for improved optic disc and cup image segmentation. Artem Sevastopolsky, Stepan Drapak, Konstantin Kiselev, Blake M. Snyder, Jeremy D. Keenan, Anastasia Georgievskaya |
| 2019 | Subvoxel vessel wall thickness measurements from vessel wall MR images. Kees M. van Hespen, Jaco J. M. Zwanenburg, Jeroen Hendrikse, Hugo J. Kuijf |
| 2019 | The impact of MRI-CT registration errors on deep learning-based synthetic CT generation. Mateusz C. Florkow, Frank Zijlstra, Linda G. W. Kerkmeijer, Matteo Maspero, Cornelis A. T. van den Berg, Marijn van Stralen, Peter R. Seevinck |
| 2019 | The segmentation of bladder cancer using the voxel-features-based method. Hao-jie Zheng, Xiaopan Xu, Xi Zhang, Hongbing Lu, Jimin Liang, Yang Liu |
| 2019 | The utility of deep learning: evaluation of a convolutional neural network for detection of intracranial bleeds on non-contrast head computed tomography studies. P. Ojeda, M. Zawaideh, Mahmud Mossa-Basha, David R. Haynor |
| 2019 | Tissue segmentation in volumetric laser endomicroscopy data using FusionNet and a domain-specific loss function. Joost van der Putten, Fons van der Sommen, Maarten R. Struyvenberg, Jeroen de Groof, Wouter L. Curvers, Erik J. Schoon, Jacques J. G. H. M. Bergman, Peter H. N. de With |
| 2019 | Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI. Jörg Sander, Bob D. de Vos, Jelmer M. Wolterink, Ivana Isgum |
| 2019 | Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps. Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman |
| 2019 | Two-level training of a 3D U-Net for accurate segmentation of the intra-cochlear anatomy in head CTs with limited ground truth training data. Dongqing Zhang, Rueben A. Banalagay, Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant |
| 2019 | Unpaired whole-body MR to CT synthesis with correlation coefficient constrained adversarial learning. Yunhao Ge, Zhong Xue, Tuoyu Cao, Shu Liao |
| 2019 | Unsupervised brain lesion segmentation from MRI using a convolutional autoencoder. Hans E. Atlason, Áskell Löve, Sigurdur Sigurdsson, Vilmundur Gudnason, Lotta Maria Ellingsen |
| 2019 | Unsupervised learning for large motion thoracic CT follow-up registration. Alessa Hering, Stefan Heldmann |
| 2019 | Variational autoencoding tissue response to microenvironment perturbation. Geoffrey F. Schau, Guillaume Thibault, Mark A. Dane, Joe W. Gray, Laura M. Heiser, Young Hwan Chang |
| 2019 | Volumetric texture modeling using dominant and discriminative binary patterns. Parmeet S. Bhatia, Amit Kale, Zhigang Peng |
| 2019 | Weakly supervised fully convolutional network for PET lesion segmentation. Saeedeh Afshari, Aïcha BenTaieb, Zahra Mirikharaji, Ghassan Hamarneh |