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ORCIDMedical Imaging 2023: Image Processing: San Diego, CA, USA
- Olivier Colliot, Ivana Isgum:
Medical Imaging 2023: Image Processing, San Diego, CA, USA, February 19-23, 2023. SPIE Proceedings 12464, SPIE 2023, ISBN 9781510660335
Registration and Deformable Geometry
- Malte Hoffmann, Andrew Hoopes, Bruce Fischl, Adrian V. Dalca:
Anatomy-specific acquisition-agnostic affine registration learned from fictitious images. - Yao Zhao
, Xinru Chen, Brigid McDonald, Cenji Yu, Laurence E. Court, Tinsu Pan, He Wang, Xin Wang, Jack Phan, Jinzhong Yang:
Patch-RegNet: a hierarchical deformable registration framework for inter-/intra-modality head-and-neck image registration with ViT-Morph. - Fleur Gaudfernau, Stéphanie Allassonière, Erwan Le Pennc:
A multiscale algorithm for computing realistic image transformations: application to the modelling of fetal brain growth. - Zexuan Wang, Jiong Chen, Wenxi Yang, Sumita Garai, Frederick H. Xu, Junhao Wen, Christos Davatzikos, Li Shen:
Shape analysis of amygdala atrophy using SPHARM-OT.
Classification and Segmentation
- Zong Fan, Ping Gong, Shanshan Tang, Christine U. Lee, Xiaohui Zhang, Zhimin Wang, Pengfei Song, Shigao Chen, Hua Li:
An auxiliary attention-based network for joint classification and localization of breast tumor on ultrasound images. - Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Stratification of lung cancer risk with thoracic imaging phenotypes. - Yicong Tan, Prerak Mody, Viktor van der Valk, Marius Staring, Jan van Gemert:
Analyzing components of a transformer under different dataset scales in 3D prostate CT segmentation. - Johannes Köpnick, Jan Marek May, Bernd Lundt, Matthias Brück, Christian Wülker:
Estimation of the ankle-joint space visibility in x-ray images using convolutional neural networks. - Ron Keuth, Mattias P. Heinrich, Martin Eichenlaub, Marian Himstedt:
Weakly supervised airway orifice segmentation in video bronchoscopy.
Cardiovascular Applications
- Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, Hans Meine:
Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation. - Raisa B. Rasul, Morteza Naghavi, Matthew J. Budoff, Anthony P. Reeves:
Automated coronary artery calcium segmentation in cardiac CT using combined probability map and feature analysis: a preliminary report. - 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:
Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT. - Qinhong Yan, Bernard Chi Yuen Chiu:
Semi-supervised vessel wall detection and segmentation from 3D femoral MR images. - 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:
Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction.
Tuesday morning Keynotes
- Paul M. Thompson:
ENIGMA, big data, and the human brain: worldwide neuroimaging & genomics of 30 brain diseases in 100, 000 people from 45 countries (Conference Presentation).
Image synthesis and Generative Models
- Cailey I. Kerley, Leon Y. Cai, Yucheng Tang, Lori L. Beason-Held, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. - Samuel W. Remedios, Blake E. Dewey, Aaron Carass, Dzung L. Pham, Jerry L. Prince:
A deep generative prior for high-resolution isotropic MR head slices. - 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:
3D-2D GAN based brain metastasis synthesis with configurable parameters for fully 3D data augmentation.
Workshop on AI using Large-Scale Data Warehouses
- Ronald M. Summers:
Radiology data warehouses: data preparation and dissemination (Conference Presentation). - Bennett A. Landman:
Design and implementation of a real-time research data warehouse: lessons learned from Vanderbilt's ImageVU (Conference Presentation). - Ninon Burgos:
Exploiting hospital data warehouses: the challenges of image quality and heterogeneity (Conference Presentation).
Brain Applications
- Zhangxing Bian, Muhan Shao, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
FastCod: fast brain connectivity in diffusion imaging. - Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz:
SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI. - 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:
Interpretable automatic detection of incomplete hippocampal inversions using anatomical criteria. - Santiago Gómez, Sebastian Florez, Daniel Mantilla, Paúl Camacho, Nick Tarazona, Fabio Martínez:
An attentional unet with an auxiliary class learning to support acute ischemic stroke segmentation on CT. - Razieh Faghihpirayesh, Davood Karimi, Deniz Erdogmus, Ali Gholipour:
Automatic brain pose estimation in fetal MRI. - 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:
Automatic preprocessing pipeline for white matter functional analyses of large-scale databases.
Image Quality, Harmonization, and Quantitative Analysis
- Sung Min Ha, Abdalla Bani, Aristeidis Sotiras:
Scalable NMF via linearly optimized data compression. - 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:
Deep constrained spherical deconvolution for robust harmonization. - Lucie Dole, Kurt G. Schilling, Hakmook Kang, John C. Gore, Bennett A. Landman:
Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function. - 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:
Novel application of the attention mechanism on medical image harmonization.
Deep-Dive Session
- Huahong Zhang, Hao Li, Kathleen E. Larson, Kilian Hett, Ipek Oguz:
Domain generalization for robust MS lesion segmentation. - Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo:
Synthesizing audio from tongue motion during speech using tagged MRI via transformer. - Rachael Harkness, Alejandro F. Frangi, Kieran Zucker, Nishant Ravikumar:
Learning disentangled representations for explainable chest x-ray classification using Dirichlet VAEs.
Transformers
- Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman:
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. - 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:
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. - Soorena Salari, Amirhossein Rasoulian, Michele C. Battié, Maryse Fortin, Hassan Rivaz, Yiming Xiao:
Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs. - Tong Zheng, Hirohisa Oda, Yuichiro Hayashi, Shota Nakamura, Masaki Mori, Hirotsugu Takabatake, Hiroshi Natori, Masahiro Oda, Kensaku Mori:
L-former: a lightweight transformer for realistic medical image generation and its application to super-resolution. - Vangelis Kostoulas, Peter A. N. Bosman, Tanja Alderliesten:
Convolutions, transformers, and their ensembles for the segmentation of organs at risk in radiation treatment of cervical cancer.
Image Reconstruction, correction, and Quality
- Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, Kurt G. Schilling:
SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans. - Lianrui Zuo, Yuan Xue, Blake E. Dewey, Yihao Liu, Jerry L. Prince, Aaron Carass:
A latent space for unsupervised MR image quality control via artifact assessment. - Zhipeng Li, Gaoyu Chen, Hao Gao, Yong Long:
Supervised transform learning for limited angle tomographic reconstruction. - Zhangxing Bian, Muhan Shao, Aaron Carass, Jerry L. Prince:
DrDisco: Deep Registration for Distortion Correction of diffusion MRI with single phase-encoding.
Segmentation
- Junyang Cai, Christopher M. Haggerty, Joshua V. Stough:
Co-Unet-GAN: a co-learning domain adaptation model on echocardiography segmentation. - Xiao Wei, Bo Jiang, Yuye Ling, Peiyao Jin, Yifan Wang, Xinbing Wang, Chenghu Zhou, Yu Gan:
Peripapillary atrophy segmentation in fundus images via multi-task learning. - Rahul Pemmaraju, Daniel Y. Song, Junghoon Lee:
Cascaded neural network segmentation pipeline for automated delineation of prostate and organs at risk in male pelvic CT. - Hrishikesh Deshpande, Axel Saalbach, Tim Harder, Edna Coetser, Shlomo Gotman, Thomas Bülow, Christian Wülker:
Estimation of incomplete organ-coverage using 3D fully convolutional networks.
Poster Session
- Xueshen Li, Yu Gan, David Duan, Xiao Yang:
Detecting human gastric peristalsis using magnetically controlled capsule endoscope via deep learning. - 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:
Unsupervised quality assurance for brain MR image rigid registration using latent shape representation. - Sophie Loizillon, Simona Bottani, Aurélien Maire, Sebastian Ströer, Didier Dormont, Olivier Colliot, Ninon Burgos:
Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI. - Maria G. Baldeon Calisto, Susana K. Lai-Yuen:
An extensive pixel-level augmentation framework for unsupervised cross-modality domain adaptation. - Guanghui Fu, Rosana El Jurdi, Lydia Chougar, Didier Dormont, Romain Valabrègue, Stéphane Lehéricy, Olivier Colliot:
Introducing soft topology constraints in deep learning-based segmentation using projected pooling loss. - Yuxue Ren, Qian Yao, Na Lei, Haiyan Zhu, Xianfeng David Gu:
Shape analysis of ossicular chain based on hyperbolic Ricci flow (Withdrawal Notice). - Rafael Orozco, Ali Siahkoohi, Gabrio Rizzuti, Tristan van Leeuwen, Felix J. Herrmann:
Adjoint operators enable fast and amortized machine learning based Bayesian uncertainty quantification. - Sandra Martin, Amira Trabelsi, Rémi Andre, Julien Wojak, Etienne Fortanier, Shahram Attatian, Maxime Guye, Marc Dubois, Redha Abdeddaim, David Bendahan:
Implementation of deep learning algorithms for automatic MRI segmentation and fat fraction quantification in individual muscles. - Lingrui Cai, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Marcela Gurgel, Kayvan Najarian, Reza Soroushmehr:
Integrative risk predictors of temporomandibular joint osteoarthritis progression. - Syed Nouman Hasany, Caroline Petitjean, Fabrice Mériaudeau:
A study of attention information from transformer layers in hybrid medical image segmentation networks. - Philipp Matten, Julius Scherer, Thomas Schlegl, Jonas Nienhaus, Heiko Stino, Andreas Pollreisz, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Stable classification of diabetic structures from incorrectly labeled OCTA en face images using multi instance learning. - Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim:
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. - Jeongtae Soh, Subong Hyun, Hyeongseok Kim, Mikiko Ito, Young-Jun Jung, Tae-Hyung Kim, Seungryong Cho:
Smooth manifold extraction for 2D synthetic radiography using 2D CNT array-based DTS system. - Runzhou Shi, Fuyan Wang, Chengjin Yu, Cailing Pu, Gaoning Ning, Huafeng Liu, Hongjie Hu:
A relative motion model for myocardial infarction detection. - Torsten Hopp, Ibrahim Tabet, Sarah Said, Paola Clauser, Pascal A. Baltzer, Nicole V. Ruiter:
Image registration of diffusion weighted and conventional breast MRI. - Linhai Ma, Liang Liang:
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. - Jonas Nienhaus, Philipp Matten, Anja Britten, Thomas Schlegl, Eva Höck, Alexander Freytag, Matt Everett, Nancy Hecker-Denschlag, Wolfgang Drexler, Rainer A. Leitgeb, Tilman Schmoll:
Self-supervised denoising using optimized blind-spot networks for real-time application in 4D-OCT. - Utkarsh Agrawal, Rajesh Langoju, Yasuhiro Imai, Risa Shigemasa, Bipul Das:
A deep learning method for pinwheel artifact reduction in CT. - Patrick Carnahan, Apurva Bharucha, Mehdi Eskandari, Daniel Bainbridge, Elvis C. S. Chen, Terry M. Peters:
Real-time mitral annulus segmentation from 4D transesophageal echocardiography using deep learning regression. - Alix Bouffard, Mihaela Pop, Mehran Ebrahimi:
Multi-step reinforcement learning for medical image super-resolution. - Yujian Xiong, Yanshuai Tu, Zhonglin Lu, Yalin Wang:
Characterizing visual cortical magnification with topological smoothing and optimal transportation. - 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:
Topography-based feature extraction of the human placenta from prenatal MR images. - Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Kevin L. Schey, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Unsupervised registration refinement for generating unbiased eye atlas. - Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. - Elina Thibeau-Sutre, Jelmer M. Wolterink, Olivier Colliot, Ninon Burgos:
How can data augmentation improve attribution maps for disease subtype explainability. - Sarah Grube, Marcel Bengs, Maximilian Neidhardt, Sarah Latus, Alexander Schlaefer:
Ultrasound shear wave velocity estimation in a small field of view via spatio-temporal deep learning. - Laura F. Graf, Hanna Siebert, Sven Mischkewitz, Ron Keuth, Mattias P. Heinrich:
Highly accurate deep registration networks for large deformation estimation in compression ultrasound. - Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman:
Mapping the impact of approximate gradient nonlinearity fields correction on tractography. - Ravi Hassanaly, Simona Bottani, Benoît Sauty, Olivier Colliot, Ninon Burgos:
Simulation based evaluation framework for deep learning unsupervised anomaly detection on brain FDG-PET. - Jinglun Yu, Muhan Shao, Zhangxing Bian, Xiao Liang, Jiachen Zhuo, Maureen Stone, Jerry L. Prince:
New starting point registration method for tagged MRI tongue motion estimation. - 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:
Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. - Yijiang Zheng, Zhuoxin Long, Xiaoke Zhang, James K. Hahn:
3D body shape for regional and appendicular body composition estimation. - Shaoyan Pan, Shao-Yuan Lo, Min Huang, Chaoqiong Ma, Jacob F. Wynne, Tonghe Wang, Tian Liu, Xiaofeng Yang:
Deep learning-based multi-organ CT segmentation with adversarial data augmentation. - Z. Abboud, Samuel Kadoury:
Impact of train- and test-time Hounsfield unit window variation on CT segmentation of liver lesions. - Pouria Tohidi, Shuo Han, Lianrui Zuo, Jiachen Zhuo, Steve Roys, Aaron Carass, Rao P. Gullapalli, Jerry L. Prince:
Joint synthesis of WMn MPRAGE and parameter maps using deep learning and an imaging equation. - Yuli Wang, Anqi Feng, Yuan Xue, Muhan Shao, Ari M. Blitz, Mark D. Luciano, Aaron Carass, Jerry L. Prince:
Investigation of probability maps in deep-learning-based brain ventricle parcellation. - Yue Cheng, Rodolphe Bailly, Bhushan Borotikar, Claire Scavinner-Dorval, Benjamin Fouquet, Douraied Ben Salem, Sylvain Brochard, François Rousseau:
Morphological analysis of ankle shorts bones of children with cerebral palsy: a comparative study. - Ángel Víctor Juanco-Müller, João F. C. Mota, Keith A. Goatman, Corné Hoogendoorn:
The topology-overlap trade-off in retinal arteriole-venule segmentation. - Spencer Welland, Gabriel Melendez-Corres, Pangyu Teng, Heidi Coy, M. Wasil Wahi-Anwar, Steven S. Raman, Matthew S. Brown:
Using a GAN for CT contrast enhancement to improve CNN kidney segmentation accuracy. - Jaryd R. Christie, Sarah A. Mattonen:
Feasibility of simulated realistic textured XCAT phantoms for assessment of radiomic feature stability. - Yuli Wang, Ji Yi:
Deep learning-based image registration method: with application to Scanning Laser Ophthalmoscopy (SLO) longitudinal images. - Fangxu Xing, Riwei Jin, Imani Gilbert, Georges El Fakhri, Jamie Perry, Bradley P. Sutton, Jonghye Woo:
Quantifying velopharyngeal motion variation in speech sound production using an audio-informed dynamic MRI atlas. - Rintaro Miyazaki, Yuichiro Hayashi, Masahiro Oda, Kensaku Mori:
Octree cube constraints in PBD method for high resolution surgical simulation. - 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:
Deep whole brain segmentation of 7T structural MRI. - Kangsan Kim, Byung-Chul Kim, Sang-Keun Woo:
Measurement of the amount of chromosome aberration through object detection. - Zihao Li, Yaping Wang, Xiujuan Geng:
Semi-supervised clustering for neuro-subtyping of autism spectrum disorder. - Anshul Ratnaparkhi, Bilwaj Gaonkar, Azim Laiwalla, Elliot Berdy, Matiar Jafari, Abhinav Suri, David Zarrin, Kirstin Cook, Bayard Wilson, Luke Macyszyn, Joel Beckett:
Segmentation and identification of fatty infiltration of the erector spinae using deep learning. - Sihwan Kim, Chul Kyun Ahn, Jong Hyo Kim:
How to overcome the data limited segmentation in abdominal CT: multi-planar UNet coupled with augmented contrast-boosting. - Emile Barjou, Francesca Mastropietro, Benjamin Barbrel, Ombeline de La Rochefoucauld, Aboubakr Bakkali, Benoit Recur, Pascal Desbarats:
Simultaneous wavefront and 3D tomographic reconstructions for phase imaging using Hartmann sensor. - Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz:
Deep angiogram: trivializing retinal vessel segmentation. - Giovanni Palma, Greg Padiasek, Arkadiusz Sitek, Paul Dufort, Pedro L. Esquinas, Marc-Michel Rohé:
Deformable registration of 3D CT images with partial liver. - Maryam Khani, Philippe Debanné, Hubert Labelle, Stefan Parent, Farida Cheriet:
Prediction of postoperative 3D spine shape using Controlled Point Deformation Network (CPDNet). - Adam G. Tattersall, Keith A. Goatman, Lucy E. Kershaw, Scott I. K. Semple, Sonia Dahdouh:
Can a single image processing algorithm work equally well across all phases of DCE-MRI. - Ningtao Liu, Aaron Fenster, David Tessier, Shuiping Gou, Jaron Chong:
Self-supervised learning enhanced ultrasound video thyroid nodule tracking. - Junlin Guo, Nazirah Mohd Khairi, Don Mitchell Wilkes:
Exploring timing patterns around the phase transition of the brain system using resting-state fMRI. - Jared Vicory, Christian Herz, Maura Flynn, Alana Cianciulli, Patricia Sabin, Andras Lasso, Matthew A. Jolley, Beatriz Paniagua:
Skeletal modeling of the tricuspid valve via cylindrical parameterization. - Yu Zhou, Jingru Fu, Örjan Smedby, Rodrigo Moreno:
Synthesis of pediatric brain tumor images with mass effect. - Xinrui Song, Xuanang Xu, Sheng Xu, Baris Turkbey, Thomas Sanford, Bradford J. Wood, Pingkun Yan:
Distance map supervised landmark localization for MR-TRUS registration. - Chang Yan, Muhan Shao, Zhangxing Bian, Anqi Feng, Yuan Xue, Jiachen Zhuo, Rao P. Gullapalli, Aaron Carass, Jerry L. Prince:
Segmenting thalamic nuclei from manifold projections of multi-contrast MRI. - Emmanouil Nikolakakis, Gregory Romanchek, Emily Enlow, Shiva Abbaszadeh:
Quantum entanglement for identifying true coincidences in a CZT-based PET system. - Phelipi N. Schuck, Adriel Silva de Araújo, Dimitri B. A. Mantovani, Nícollas G. Cavedini, Ana Maria Marques da Silva:
Volumetric measurements of brain in multiple sclerosis: comparison of segmentation methods in simulated MRI data. - Bidur Khanal, S. M. Kamrul Hasan, Bishesh Khanal, Cristian A. Linte:
Investigating the impact of class-dependent label noise in medical image classification. - Adriel Silva de Araújo, Leonardo Rosa Amado, Dimitri B. A. Mantovani, Ana Maria Marques da Silva, Márcio Sarroglia Pinho:
Interstitial lung disease detection in CT using an ensemble method of patch CNN and radiomic classifier. - Yisak Kim, Jong Hyuk Lee, Changi Kim, Kwang Nam Jin, Chang Min Park:
GAN based ROI conditioned synthesis of medical image for data augmentation. - Johanna Dubos, Sang Kyoon Park, Roza M. Vlasova, Juan Prieto, Martin Styner:
Dmriprep: open-source diffusion MRI quality control framework with graphical user interface. - Amr S. Elsawy, Tiarnan D. Kenan, Qingyu Chen, Xiaoshuang Shi, Emily Y. Chew, Zhiyong Lu:
Attention-based 3D convolutional networks for detection of geographic atrophy from optical coherence tomography scans. - Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim:
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. - Azubuike Okorie, Sokratis Makrogiannis, Richard G. Spencer, Rita R. Kalyani, Luigi Ferrucci:
Semantic segmentation of individual muscle groups in 3D thigh MRI. - Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim:
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. - Aditya Killekar, Jacek Kwiecinski, Mariusz Kruk, Cezary Kepka, Aakash D. Shanbhag, Damini Dey, Piotr J. Slomka:
Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks. - Tao Hu, Hayato Itoh, Masahiro Oda, Shinji Saiki, Nobutaka Hattori, Koji Kamagata, Shigeki Aoki, Kensaku Mori:
Priority attention network with Bayesian learning for fully automatic segmentation of substantia nigra from neuromelanin MRI. - Dmitry Cherezov, Vidya Sankar Viswanathan, Amit Gupta, Anant Madabhushi:
Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans.
Digital poster Session
- Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Deep curriculum learning for follow-up MRI registration in glioblastoma. - Subhashis Banerjee, Robin Strand:
Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI. - Qixiang Ma, Léo Lemarchand, Diane Chan-Sock-Line, Louis Rigal, Antoine Simon, Pascal Haigron:
Fully-automatic aortic valve landmarks detection with two-stage-based convolutional neural networks. - Ling Liu, Yuanyuan Peng, Dehui Xiang, Fei Shi, Xinjian Chen:
Multi-modality network based on CGAN and attention mechanism for glaucoma grading. - Shengyong Diao, Xinjian Chen, Dehui Xiang, Weifang Zhu, Yin Fan, Fei Shi:
A two-stage unsupervised domain adaptation method for OCT image segmentation. - Xiaoyi Zhu, Dehui Xiang, Fei Shi, Weifang Zhu, Xinjian Chen:
Pancreatic CT image segmentation based on transfer learning. - Silong Li, Jiaming Qiu, Yijin Huang, Xiaoying Tang, Terry Tao Ye:
An FPGA-based edge computing and accelerating platform for fast diabetic retinopathy diagnosis. - Xiao Wei, Hongbo Guo, Xuelei He, Jingjing Yu, Xiaowei He:
Multi-source bioluminescene tomography reconstruction approach base on subspace decision. - Runing Xiao, Wei Yu, Shengxian Tu:
Cardiac dynamics compensation for intravascular ultrasound sequences. - Ziting Yin, Xinjian Chen, Weifang Zhu, Dehui Xiang, Qing Peng, Fei Shi:
Meta-learning-based retinal pathology classification from optical coherence tomography images. - Lizhi Zhang, Beilei Wang, Xiaowei He, Shuangchen Li, Xiao Wei, Zijian Tang, Hongbo Guo:
Multi-target reconstruction of fluorescence molecular tomography based on blind source separation. - Linya Zheng, Ji Li, Fan Zhang, Hong Shi, Yinran Chen, Xiongbiao Luo:
A comparison of U-Net series for CT pancreas segmentation. - Chengjian Hong, Yuanyuan Peng, Weifang Zhu, Dehui Xiang, Fei Shi, Baoqing Nie, Xinjian Chen:
Segmentation of common lesions in age-related macular degeneration based on boundary attention mechanism. - Tanvi Kulkarni, K. H. Aqil, Jaikishan Jayakumar, Keerthi Ram, Mohanasankar Sivaprakasam:
Learning to atlas register for rapid segmentation of brain structures in fetal MRI. - Heng Zhang, Xiaowei He, Hongbo Guo, Yanqiu Liu, Shuangchen Li, Yizhe Zhao, Xuelei He, Jingjing Yu, Yuqing Hou:
Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction. - Dengfeng Liu, Weifang Zhu, Xinyu Zhuang, Xiaofeng Zhang, Xinjian Chen, Fei Shi, Dehui Xiang:
IF-Net: information fusion network for meibomian gland area and atrophy area segmentation. - Ji Li, Jiabao Jin, Dongfang Shen, Guanping Xu, Hui-Qing Zeng, Sunkui Ke, Xiangxing Chen, Miao Wang, Xiongbiao Luo:
Pulmonary CT nodules segmentation using an enhanced square U-Net with depthwise separable convolution. - Shien Huang, Yonghong Song, Junyan Rong, Tianshuai Liu, Dong Huang, Hongbing Lu:
Single-view cone beam CT reconstruction with Swin transformer based deep learning.
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