| 2023 | 3D body shape for regional and appendicular body composition estimation. Yijiang Zheng, Zhuoxin Long, Xiaoke Zhang, James K. Hahn |
| 2023 | 3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation. Gengyan Zhao, Youngjin Yoo, Thomas J. Re, Jyotipriya Das, Hesheng Wang, Michelle Kim, Colette Shen, Yueh Lee, Douglas Kondziolka, Mohannad Ibrahim, Jun Lian, Rajan Jain, Tong Zhu, Hemant Parmar, James M. Balter, Yue Cao, Eli Gibson, Dorin Comaniciu |
| 2023 | A comparison of U-Net series for CT pancreas segmentation. Linya Zheng, Ji Li, Fan Zhang, Hong Shi, Yinran Chen, Xiongbiao Luo |
| 2023 | A deep generative prior for high-resolution isotropic MR head slices. Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Dzung L. Pham, Jerry L. Prince |
| 2023 | A deep learning method for pinwheel artifact reduction in CT. Utkarsh Agrawal, Rajesh Langoju, Yasuhiro Imai, Risa Shigemasa, Bipul Das |
| 2023 | A latent space for unsupervised MR image quality control via artifact assessment. Lianrui Zuo, Yuan Xue, Blake E. Dewey, Yihao Liu, Jerry L. Prince, Aaron Carass |
| 2023 | A multiscale algorithm for computing realistic image transformations: application to the modelling of fetal brain growth. Fleur Gaudfernau, Stéphanie Allassonière, Erwan Le Pennec |
| 2023 | A relative motion model for myocardial infarction detection. Runzhou Shi, Fuyan Wang, Chengjin Yu, Cailing Pu, Gaoning Ning, Huafeng Liu, Hongjie Hu |
| 2023 | A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim |
| 2023 | A study of attention information from transformer layers in hybrid medical image segmentation networks. Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau |
| 2023 | A two-stage unsupervised domain adaptation method for OCT image segmentation. Shengyong Diao, Xinjian Chen, Dehui Xiang, Weifang Zhu, Yin Fan, Fei Shi |
| 2023 | Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann |
| 2023 | An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis. Silong Li, Jiaming Qiu, Yijin Huang, Xiaoying Tang, Terry Tao Ye |
| 2023 | An attentional unet with an auxiliary class learning to support acute ischemic stroke segmentation on CT. Santiago Gómez, Sebastian Florez, Daniel Mantilla, Paúl Camacho, Nick Tarazona, Fabio Martínez |
| 2023 | An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images. Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Zhimin Wang, Pengfei Song, Shigao Chen, Hua Li |
| 2023 | An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation. Maria G. Baldeon Calisto, Susana K. Lai-Yuen |
| 2023 | Analyzing components of a transformer under different dataset scales in 3D prostate CT segmentation. Yicong Tan, Prerak Mody, Viktor van der Valk, Marius Staring, Jan van Gemert |
| 2023 | Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca |
| 2023 | Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu |
| 2023 | Automated coronary artery calcium segmentation in cardiac CT using combined probability map and feature analysis: a preliminary report. Raisa B. Rasul, Morteza Naghavi, Matthew J. Budoff, Anthony P. Reeves |
| 2023 | Automatic brain pose estimation in fetal MRI. Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour |
| 2023 | Automatic preprocessing pipeline for white matter functional analyses of large-scale databases. Yurui Gao, Dylan R. Lawless, Muwei Li, Yu Zhao, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Baxter P. Rogers, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, John C. Gore |
| 2023 | Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction. Heng Zhang, Xiaowei He, Hongbo Guo, Yanqiu Liu, Shuangchen Li, Yizhe Zhao, Xuelei He, Jingjing Yu, Yuqing Hou |
| 2023 | Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. Cailey I. Kerley, Leon Y. Cai, Yucheng Tang, Lori L. Beason-Held, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman |
| 2023 | Can a single image processing algorithm work equally well across all phases of DCE-MRI. Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh |
| 2023 | Cardiac dynamics compensation for intravascular ultrasound sequences. Runing Xiao, Wei Yu, Shengxian Tu |
| 2023 | Cascaded neural network segmentation pipeline for automated delineation of prostate and organs at risk in male pelvic CT. Rahul Pemmaraju, Daniel Y. Song, Junghoon Lee |
| 2023 | Characterizing visual cortical magnification with topological smoothing and optimal transportation. Yujian Xiong, Yanshuai Tu, Zhonglin Lu, Yalin Wang |
| 2023 | Co-Unet-GAN: a co-learning domain adaptation model on echocardiography segmentation. Junyang Cai, Christopher M. Haggerty, Joshua V. Stough |
| 2023 | Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, Hans Meine |
| 2023 | Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT. Aakash D. Shanbhag, Konrad Pieszko, Robert J. H. Miller, Aditya Killekar, Waechter Parker, Heidi Gransar, Michelle Williams, Daniel S. Berman, Damini Dey, Piotr J. Slomka |
| 2023 | Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. Nancy R. Newlin, Leon Y. Cai, Tianyuan Yao, Derek B. Archer, Kurt G. Schilling, Timothy J. Hohman, Kimberly R. Pechman, Angela L. Jefferson, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman |
| 2023 | Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer. Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten |
| 2023 | Deep angiogram: trivializing retinal vessel segmentation. Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz |
| 2023 | Deep constrained spherical deconvolution for robust harmonization. Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo |
| 2023 | Deep curriculum learning for follow-up MRI registration in glioblastoma. Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand |
| 2023 | Deep learning-based image registration method: with application to Scanning Laser Ophthalmoscopy (SLO) longitudinal images. Yuli Wang, Ji Yi |
| 2023 | Deep learning-based multi-organ CT segmentation with adversarial data augmentation. Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang |
| 2023 | Deep whole brain segmentation of 7T structural MRI. Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey I. Kerley, Micah D'Archangel, Laura A. Barquero, Allen T. Newton, Isabel Gauthier, Rankin W. McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman |
| 2023 | Deformable registration of 3D CT images with partial liver. Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé |
| 2023 | Design and implementation of a real-time research data warehouse: lessons learned from Vanderbilt's ImageVU (Conference Presentation). Bennett A. Landman |
| 2023 | Detecting human gastric peristalsis using magnetically controlled capsule endoscope via deep learning. Xueshen Li, Yu Gan, David Duan, Xiao Yang |
| 2023 | Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. Nipun Manral, Andrew Lin, Caroline Park, Priscilla McElhinney, Aditya Killekar, Hidenari Matsumoto, Jacek Kwiecinski, Konrad Pieszko, Aryabod Razipour, Kajetan Grodecki, Mhairi Doris, Alan C. Kwan, Donghee Han, Keiichiro Kuronuma, Guadalupe Flores Tomasino, Evangelos Tzolos, Aakash D. Shanbhag, Markus Goeller, Mohamed Marwan, Sebastien Cadet, Stephen Achenbach, Stephen J. Nicholls, Dennis T. Wong, Daniel S. Berman, Marc R. Dweck, David E. Newby, Michelle C. Williams, Piotr J. Slomka, Damini Dey |
| 2023 | Distance map supervised landmark localization for MR-TRUS registration. Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Thomas Sanford, Bradford J. Wood, Pingkun Yan |
| 2023 | Dmriprep: open-source diffusion MRI quality control framework with graphical user interface. Johanna Dubos, Sang Kyoon Park, Roza M. Vlasova, Juan Prieto, Martin Styner |
| 2023 | Domain generalization for robust MS lesion segmentation. Huahong Zhang, Hao Li, Kathleen E. Larson, Kilian Hett, Ipek Oguz |
| 2023 | DrDisco: Deep Registration for Distortion Correction of diffusion MRI with single phase-encoding. Zhangxing Bian, Muhan Shao, Aaron Carass, Jerry L. Prince |
| 2023 | ENIGMA, big data, and the human brain: worldwide neuroimaging & genomics of 30 brain diseases in 100, 000 people from 45 countries (Conference Presentation). Paul M. Thompson |
| 2023 | Estimation of incomplete organ-coverage using 3D fully convolutional networks. Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Edna Coetser, Shlomo Gotman, Thomas Bülow, Christian Wülker |
| 2023 | Estimation of the ankle-joint space visibility in x-ray images using convolutional neural networks. Johannes Köpnick, Jan Marek May, Bernd Lundt, Matthias Brück, Christian Wülker |
| 2023 | Exploiting hospital data warehouses: the challenges of image quality and heterogeneity (Conference Presentation). Ninon Burgos |
| 2023 | Exploring timing patterns around the phase transition of the brain system using resting-state fMRI. Junlin Guo, Nazirah Mohd Khairi, Don Mitchell Wilkes |
| 2023 | FastCod: fast brain connectivity in diffusion imaging. Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince |
| 2023 | Feasibility of simulated realistic textured XCAT phantoms for assessment of radiomic feature stability. Jaryd R. Christie, Sarah A. Mattonen |
| 2023 | Fully-automatic aortic valve landmarks detection with two-stage-based convolutional neural networks. Qixiang Ma, Léo Lemarchand, Diane Chan Sock Line, Louis Rigal, Antoine Simon, Pascal Haigron |
| 2023 | GAN based ROI conditioned synthesis of medical image for data augmentation. Yisak Kim, Jong Hyuk Lee, Changi Kim, Kwang Nam Jin, Chang Min Park |
| 2023 | Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function. Lucie Dole, Kurt G. Schilling, Hakmook Kang, John C. Gore, Bennett A. Landman |
| 2023 | Highly accurate deep registration networks for large deformation estimation in compression ultrasound. Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich |
| 2023 | How can data augmentation improve attribution maps for disease subtype explainability. Elina Thibeau-Sutre, Jelmer M. Wolterink, Olivier Colliot, Ninon Burgos |
| 2023 | How to overcome the data limited segmentation in abdominal CT: multi-planar UNet coupled with augmented contrast-boosting. Sihwan Kim, Chul Kyun Ahn, Jong Hyo Kim |
| 2023 | IF-Net: information fusion network for meibomian gland area and atrophy area segmentation. Dengfeng Liu, Weifang Zhu, Xinyu Zhuang, Xiaofeng Zhang, Xinjian Chen, Fei Shi, Dehui Xiang |
| 2023 | Image registration of diffusion weighted and conventional breast MRI. Torsten Hopp, Ibrahim Tabet, Sarah Said, Paola Clauser, Pascal A. Baltzer, Nicole V. Ruiter |
| 2023 | Impact of train- and test-time Hounsfield unit window variation on CT segmentation of liver lesions. Zeinab Abboud, Samuel Kadoury |
| 2023 | Implementation of deep learning algorithms for automatic MRI segmentation and fat fraction quantification in individual muscles. Sandra Martin, Amira Trabelsi, Rémi Andre, Julien Wojak, Etienne Fortanier, Shahram Attatian, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan |
| 2023 | Integrative risk predictors of temporomandibular joint osteoarthritis progression. Lingrui Cai, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Marcela Gurgel, Kayvan Najarian, Reza Soroushmehr |
| 2023 | Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria. Lisa Hemforth, Claire Cury, Vincent Frouin, Sylvane Desrivières, Antoine Grigis, Hugh Garavan, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Luise Poustka, Sarah Hohmann, Sabina Millenet, Nilakshi Vaidya, Henrik Walter, Robert Whelan, Gunter Schumann, Baptiste Couvy-Duchesne, Olivier Colliot |
| 2023 | Interstitial lung disease detection in CT using an ensemble method of patch CNN and radiomic classifier. Adriel Silva de Araújo, Leonardo Rosa Amado, Dimitri B. A. Mantovani, Ana Maria Marques da Silva, Márcio Sarroglia Pinho |
| 2023 | Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss. Guanghui Fu, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Stéphane Lehéricy, Olivier Colliot |
| 2023 | Investigating the impact of class-dependent label noise in medical image classification. Bidur Khanal, S. M. Kamrul Hasan, Bishesh Khanal, Cristian A. Linte |
| 2023 | Investigation of probability maps in deep-learning-based brain ventricle parcellation. Yuli Wang, Anqi Feng, Yuan Xue, Muhan Shao, Ari M. Blitz, Mark D. Luciano, Aaron Carass, Jerry L. Prince |
| 2023 | Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation. Pouria Tohidi, Shuo Han, Lianrui Zuo, Jiachen Zhuo, Steve Roys, Aaron Carass, Rao P. Gullapalli, Jerry L. Prince |
| 2023 | L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution. Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori |
| 2023 | Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs. Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar |
| 2023 | Learning to atlas register for rapid segmentation of brain structures in fetal MRI. Tanvi Kulkarni, K. H. Aqil, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam |
| 2023 | Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI. Subhashis Banerjee, Robin Strand |
| 2023 | Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman |
| 2023 | Mapping the impact of approximate gradient nonlinearity fields correction on tractography. Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman |
| 2023 | Measurement of the amount of chromosome aberration through object detection. Kangsan Kim, Byung-Chul Kim, Sang-Keun Woo |
| 2023 | Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023 Olivier Colliot, Ivana Isgum |
| 2023 | Meta-learning-based retinal pathology classification from optical coherence tomography images. Ziting Yin, Xinjian Chen, Weifang Zhu, Dehui Xiang, Qing Peng, Fei Shi |
| 2023 | Morphological analysis of ankle shorts bones of children with cerebral palsy: a comparative study. Yue Cheng, Rodolphe Bailly, Bhushan Borotikar, Claire Scavinner-Dorval, Benjamin Fouquet, Douraied Ben Salem, Sylvain Brochard, François Rousseau |
| 2023 | Multi-modality network based on CGAN and attention mechanism for glaucoma grading. Ling Liu, Yuanyuan Peng, Dehui Xiang, Fei Shi, Xinjian Chen |
| 2023 | Multi-source bioluminescene tomography reconstruction approach base on subspace decision. Xiao Wei, Hongbo Guo, Xuelei He, Jingjing Yu, Xiaowei He |
| 2023 | Multi-step reinforcement learning for medical image super-resolution. Alix Bouffard, Mihaela Pop, Mehran Ebrahimi |
| 2023 | Multi-target reconstruction of fluorescence molecular tomography based on blind source separation. Lizhi Zhang, Beilei Wang, Xiaowei He, Shuangchen Li, Xiao Wei, Zijian Tang, Hongbo Guo |
| 2023 | New starting point registration method for tagged MRI tongue motion estimation. Jinglun Yu, Muhan Shao, Zhangxing Bian, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry L. Prince |
| 2023 | Novel application of the attention mechanism on medical image harmonization. Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary A. Stoebner, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz |
| 2023 | Octree cube constraints in PBD method for high resolution surgical simulation. Rintaro Miyazaki, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori |
| 2023 | Pancreatic CT image segmentation based on transfer learning. Xiaoyi Zhu, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen |
| 2023 | Patch-RegNet: a hierarchical deformable registration framework for inter-/intra-modality head-and-neck image registration with ViT-Morph. Yao Zhao, Xinru Chen, Brigid McDonald, Cenji Yu, Laurence E. Court, Tinsu Pan, He Wang, Xin Wang, Jack Phan, Jinzhong Yang |
| 2023 | Peripapillary atrophy segmentation in fundus images via multi-task learning. Xiao Wei, Bo Jiang, Yuye Ling, Peiyao Jin, Yifan Wang, Xinbing Wang, Chenghu Zhou, Yu Gan |
| 2023 | Prediction of postoperative 3D spine shape using Controlled Point Deformation Network (CPDNet). Maryam Khani, Philippe Debanné, Hubert Labelle, Stefan Parent, Farida Cheriet |
| 2023 | Priority attention network with Bayesian learning for fully automatic segmentation of substantia nigra from neuromelanin MRI. Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori |
| 2023 | Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks. Aditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash D. Shanbhag, Damini Dey, Piotr J. Slomka |
| 2023 | Pulmonary CT nodules segmentation using an enhanced square U-Net with depthwise separable convolution. Ji Li, Jiabao Jin, Dongfang Shen, Guanping Xu, Hui-Qing Zeng, Sunkui Ke, Xiangxing Chen, Miao Wang, Xiongbiao Luo |
| 2023 | Quantifying velopharyngeal motion variation in speech sound production using an audio-informed dynamic MRI atlas. Fangxu Xing, Riwei Jin, Imani Gilbert, Georges El Fakhri, Jamie Perry, Bradley P. Sutton, Jonghye Woo |
| 2023 | Quantum entanglement for identifying true coincidences in a CZT-based PET system. Emmanouil Nikolakakis, Gregory Romanchek, Emily Enlow, Shiva Abbaszadeh |
| 2023 | Radiology data warehouses: data preparation and dissemination (Conference Presentation). Ronald M. Summers |
| 2023 | Real-time mitral annulus segmentation from 4D transesophageal echocardiography using deep learning regression. Patrick Carnahan, Apurva Bharucha, Mehdi Eskandari, Daniel Bainbridge, Elvis C. S. Chen, Terry M. Peters |
| 2023 | Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans. Dmitry Cherezov, Vidya Sankar Viswanathan, Amit Gupta, Anant Madabhushi |
| 2023 | Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim |
| 2023 | SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI. Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz |
| 2023 | Scalable NMF via linearly optimized data compression. Sung Min Ha, Abdalla Bani, Aristeidis Sotiras |
| 2023 | Segmentation and identification of fatty infiltration of the erector spinae using deep learning. Anshul Ratnaparkhi, Bilwaj Gaonkar, Azim Laiwalla, Elliot Berdy, Matiar Jafari, Abhinav Suri, David Zarrin, Kirstin Cook, Bayard Wilson, Luke Macyszyn, Joel Beckett |
| 2023 | Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism. Chengjian Hong, Yuanyuan Peng, Weifang Zhu, Dehui Xiang, Fei Shi, Baoqing Nie, Xinjian Chen |
| 2023 | Segmenting thalamic nuclei from manifold projections of multi-contrast MRI. Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince |
| 2023 | Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT. Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll |
| 2023 | Self-supervised learning enhanced ultrasound video thyroid nodule tracking. Ningtao Liu, Aaron Fenster, David Tessier, Shuiping Gou, Jaron Chong |
| 2023 | Semantic segmentation of individual muscle groups in 3D thigh MRI. Azubuike Okorie, Sokratis Makrogiannis, Richard G. Spencer, Rita R. Kalyani, Luigi Ferrucci |
| 2023 | Semi-supervised clustering for neuro-subtyping of autism spectrum disorder. Zihao Li, Yaping Wang, Xiujuan Geng |
| 2023 | Semi-supervised vessel wall detection and segmentation from 3D femoral MR images. Qinhong Yan, Bernard Chi Yuen Chiu |
| 2023 | Shape analysis of amygdala atrophy using SPHARM-OT. Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Garai, Frederick H. Xu, Junhao Wen, Christos Davatzikos, Li Shen |
| 2023 | Shape analysis of ossicular chain based on hyperbolic Ricci flow (Withdrawal Notice). Yuxue Ren, Qian Yao, Na Lei, Haiyan Zhu, Xianfeng David Gu |
| 2023 | Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET. Ravi Hassanaly, Simona Bottani, Benoît Sauty, Olivier Colliot, Ninon Burgos |
| 2023 | Simultaneous wavefront and 3D tomographic reconstructions for phase imaging using Hartmann sensor. Emile Barjou, Francesca Mastropietro, Benjamin Barbrel, Ombeline de La Rochefoucauld, Aboubakr Bakkali, Benoit Recur, Pascal Desbarats |
| 2023 | Single-view cone beam CT reconstruction with Swin transformer based deep learning. Shien Huang, Yonghong Song, Junyan Rong, Tianshuai Liu, Dong Huang, Hongbing Lu |
| 2023 | Skeletal modeling of the tricuspid valve via cylindrical parameterization. Jared Vicory, Christian Herz, Maura Flynn, Alana Cianciulli, Patricia Sabin, Andras Lasso, Matthew A. Jolley, Beatriz Paniagua |
| 2023 | Smooth manifold extraction for 2D synthetic radiography using 2D CNT array-based DTS system. Jeongtae Soh, Subong Hyun, Hyeongseok Kim, Mikiko Ito, Young-Jun Jung, Tae-Hyung Kim, Seungryong Cho |
| 2023 | Stable classification of diabetic structures from incorrectly labeled OCTA en face images using multi instance learning. Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll |
| 2023 | State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim |
| 2023 | Stratification of lung cancer risk with thoracic imaging phenotypes. Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman |
| 2023 | Supervised transform learning for limited angle tomographic reconstruction. Zhipeng Li, Gaoyu Chen, Hao Gao, Yong Long |
| 2023 | SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans. Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, Kurt G. Schilling |
| 2023 | Synthesis of pediatric brain tumor images with mass effect. Yu Zhou, Jingru Fu, Örjan Smedby, Rodrigo Moreno |
| 2023 | Synthesizing audio from tongue motion during speech using tagged MRI via transformer. Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo |
| 2023 | The topology-overlap trade-off in retinal arteriole-venule segmentation. Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn |
| 2023 | Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman |
| 2023 | Topography-based feature extraction of the human placenta from prenatal MR images. James Huang, Maysam Shahedi, Quyen N. Do, Yin Xi, Matthew A. Lewis, Christina L. Herrera, David Owen, Catherine Y. Spong, Ananth J. Madhuranthakam, Diane M. Twickler, Baowei Fei |
| 2023 | Towards lifting the trade-off between accuracy and adversarial robustness of deep neural networks with application on COVID 19 CT image classification and medical image segmentation. Linhai Ma, Liang Liang |
| 2023 | Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI. Sophie Loizillon, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos |
| 2023 | Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. Bryan P. Bednarski, Aakash D. Shanbhag, Ananya Singh, Robert J. H. Miller, Heidi Gransar, Keiichiro Kuronuma, Tali Sharir, Sharmila Dorbala, Marcelo Di Carli, Matthews B. Fish, Terrence D. Ruddy, Daniel S. Berman, Damini Dey, Piotr J. Slomka |
| 2023 | Ultrasound shear wave velocity estimation in a small field of view via spatio-temporal deep learning. Sarah Grube, Marcel Bengs, Maximilian Neidhardt, Sarah Latus, Alexander Schlaefer |
| 2023 | Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs. Soorena Salari, Amirhossein Rasoulian, Michele C. Battié, Maryse Fortin, Hassan Rivaz, Yiming Xiao |
| 2023 | Unsupervised quality assurance for brain MR image rigid registration using latent shape representation. Yuan Xue, Lianrui Zuo, Samuel W. Remedios, Blake E. Dewey, Peiyu Duan, Yihao Liu, Rendong Zhang, Scott D. Newsome, Ellen M. Mowry, Aaron Carass, Jerry L. Prince |
| 2023 | Unsupervised registration refinement for generating unbiased eye atlas. Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Kevin L. Schey, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman |
| 2023 | Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown |
| 2023 | Volumetric measurements of brain in multiple sclerosis: comparison of segmentation methods in simulated MRI data. Phelipi N. Schuck, Adriel Silva de Araújo, Dimitri B. A. Mantovani, Nícollas G. Cavedini, Ana Maria Marques da Silva |
| 2023 | Weakly supervised airway orifice segmentation in video bronchoscopy. Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt |