default search action
Biomedical Applications in Molecular, Structural, and Functional Imaging 2022: San Diego, CA, USA
- Barjor S. Gimi, Andrzej Król:
Medical Imaging 2022: Biomedical Applications in Molecular, Structural, and Functional Imaging, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. SPIE Proceedings 12036, SPIE 2022, ISBN 9781510649477
Keynote
- Reza Nezafat:
Cardiovascular MRI in the era of artificial intelligence.
Neurological imaging I
- M. Ali Vosoughi, Axel Wismüller:
Large-scale Kernelized Granger Causality (lsKGC) for inferring topology of directed graphs in brain networks. - Rick J. van Tuijl, Iris N. Vos, Ynte M. Ruigrok
, Irene C. van der Schaaf, Birgitta K. Velthuis, Jaco J. M. Zwanenburg:
Relationship between diameter asymmetry of the anterior cerebral arteries of the Circle of Willis and asymmetry in diameters and blood flow of the upstream vasculature: preliminary results. - Harshkumar S. Prajapati, Kian Merchant-Borna, Jeffrey J. Bazarian, Cristian A. Linte, Nathan D. Cahill:
Pairwise versus transitive inverse consistent longitudinal rigid registration of magnetic resonance images of athletes with repetitive non-concussive head injuries: effects on regional distributions of diffusion measures. - Elodie Piot, Maria Bagonis, Guorong Wu, Juan Prieto, Martin Styner:
CONTINUITY: CONnectivity Tool with INtegration of sUbcortical regions, regIstration and visualization of TractographY.
Neurological imaging II
- Tahya Deddah, Martin Styner, Juan Prieto:
Local extraction of extra-axial CSF from structural MRI. - Zhen Zhou, Dhivya Srinivasan, Hongming Li, Ahmed Abdulkadir, Haochang Shou, Christos Davatzikos, Yong Fan:
Harmonization of multi-site functional connectivity measures in tangent space improves brain age prediction. - Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin:
Investigation of large-scale extended Granger causality (lsXGC) on synthetic functional MRI data. - Axel Wismüller, M. Ali Vosoughi, Adora M. DSouza, Anas Z. Abidin:
Inferring functional relations from synthetic fMRI data using large-scale Nonlinear Granger Causality (lsNGC). - Dennis Swetz, Samantha E. Seymour, Ryan A. Rava, Mohammad Mahdi Shiraz Bhurwani, Andre Monteiro, Ammad A. Baig, Mohammad Waqas, Kenneth V. Snyder, Elad I. Levy, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Initial investigation of predicting hematoma expansion for intracerebral hemorrhage using imaging biomarkers and machine learning.
Vascular and Pulmonary imaging
- Allison Shields, Swetadri Vasan Setlur Nagesh, V. Chivukula, Ciprian N. Ionita, Daniel R. Bednarek, Stephen Rudin:
Derivation of vascular wall shear stress from 1000 fps high-speed angiography (HSA) velocity distributions. - Alexander G. Wisniewski, Mohammad Mahdi Shiraz Bhurwani, Kelsey N. Sommer, Andre Monteiro, Ammad A. Baig, Jason M. Davies, Adnan Siddiqui, Ciprian N. Ionita:
Quantitative angiography prognosis of intracranial aneurysm treatment failure using parametric imaging and distal vessel analysis. - Ibtissam Essadik, Anass Nouri
Combining machine learning and artery characterization to identify the main bifurcations in 3D vascular trees. - Allison Shields, Kyle A. Williams, Sricharan S. Veeturi
Initial evaluation of 2D and 3D simulated high-speed 1000 fps vascular contrast-flow image sequences using computational fluid dynamics (CFD). - Kurumi Saito, Keisuke Fukuda, Yoshiki Kawata, Keiji Umetani, Yasutaka Nakano, Hiroaki Sakai, Toshihiro Okamoto, Noboru Niki:
Pulmonary alveoli cluster analysis of 3D human lung microstructure using synchrotron radiation micro-CT. - Keisuke Fukuda, Kurumi Saito, Yoshiki Kawata, Keiji Umetani, Yasutaka Nakano, Hiroaki Sakai, Toshihiro Okamoto, Noboru Niki:
Counting of alveoli in synchrotron radiation 3D CT images using U-Net.
Optical imaging
- Meysam Tavakoli:
Automated optic disk detection in fundus images using a combination of deep learning and local histogram matching. - Masaki Hosoda, Daisuke Oida, Koichiro Ito, Seido Takae, Nao Suzuki, Kosuke Tsukada
Ex vivo sensing of primordial follicles in ovarian tissues by spectral-domain optical coherence tomography. - Yile Fang
Super-fast three-dimensional focused x-ray luminescence computed tomography with a gated photon counter.
Innovations in Image Processing
- Kevin J. Chung, Ting-Yim Lee
Quality versus quantity of dynamic CT perfusion images at isodose. - Vahid Daneshpajooh, Danish Ahmad, Jennifer Toth, Rebecca Bascom, William E. Higgins:
Video analysis framework for lesion detection in narrow band imaging bronchoscopy. - S. B. Kim, C. I. Moon, S. A. Kye, J. H. Ahn, S. H. Jang, O. S. Lee:
Quantitative diagnosis of injured muscle in post-stroke animal models using synchrotron radiation phase-contrast imaging. - Ahmed Alshareef, Curtis L. Johnson, Aaron Carass, Andrew K. Knutsen, Peyton L. Delgorio, Grace McIlvain, Alexa M. Diano, K. T. Ramesh, Philip V. Bayly
Relationship between cerebral vasculature and brain stiffness measured using MR elastography. - Tonghe Wang, Yang Lei
Deep-learning-based extraprostatic nodal lesion segmentation on 18F-fluciclovine PET. - Yang Lei
Brain multi-parametric MRI tumor subregion segmentation via hierarchical substructural activation network. - Indra Narayan Dutta, Syed Ahmed Nadeem, Alejandro P. Comellas
CT-based segmentation of pectoral muscle using deep learning and association of computed metrics with aging and sex. - V. Chivukula, R. White, Allison Shields, Jason M. Davies, Maxim Mokin, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita:
Leveraging patient-specific simulated angiograms to characterize cerebral aneurysm hemodynamics using computational fluid dynamics. - Qibang Zhu, Hao Li, Nathan D. Cass, Nathan R. Lindquist, Kareem O. Tawfik, Ipek Oguz:
Acoustic neuroma segmentation using ensembled convolutional neural networks. - Ahmed Alshareef, Aaron Carass, Andrew K. Knutsen, Kshitiz Upadhyay, Matthew E. Peters, K. T. Ramesh, Jerry L. Prince:
Investigating the effect of ventricle size on brain deformation using computational models.
Novel imaging Methods
- Jeff Joseph, Benjamin Weppner, Nandor K. Pinter
Prognosis of ischemia recurrence in patients with moderate intracranial atherosclerotic disease using quantitative MRA measurements. - Brandon J. Nelson, Shuai Leng, Thomas Koenig, Cynthia H. McCollough:
Complementary use of x-ray dark-field and attenuation computed tomography in quantifying pulmonary fibrosis in a mouse model. - Junwei Shi, Daiki Hara, Ryder Schmidt, Wensi Tao, Nesrin Dogan, John Chetley Ford, Alan Pollack:
Cone-beam x-ray fluorescence imaging using pixelated cadmium telluride photon-counting detector with pinhole collimator. - Emily Zheng, Huijuan Zhang, Soumya Goswami, Enan Kabir, Marvin M. Doyley, Jun Xia:
Second-generation Dual Scan Mammoscope (DSM-2). - Alex J. Allphin, Darin P. Clark, Alexandra Badea, Cristian T. Badea
Anatomical and functional cardiac PCCT imaging pipeline for characterization of Apolipoprotein E mouse models. - Anish Salvi, Ender Finol, Prahlad G. Menon:
Image transformers with regional attention for classification of aneurysm rupture risk without explicit segmentation. - Maysam Shahedi
Automatic segmentation of uterine cavity and placenta on MR images using deep learning.
Machine Learning I
- Anton Orlichenko, Gang Qu
Phenotype guided interpretable graph convolutional network analysis of fMRI data reveals changing brain connectivity during adolescence. - Hassan S. Salehi, Andreina Granados, Mina Mahdian:
Comparison of deep convolutional neural network models with OCT images for dental caries classification. - Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Ensiyeh Modiri, Azizeh Akbari
Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. - Amirhessam Tahmassebi, Kevin Mueller, Uwe Meyer-Baese, Jorge Munilla, Andrés Ortiz
Graph signal processing to identify biomarkers in brain networks in dementia. - Syed Ahmed Nadeem, Alejandro P. Comellas
CT-based segmentation of thoracic vertebrae using deep learning and computation of the kyphotic angle.
Machine Learning II
- Mohammad Mahdi Shiraz Bhurwani, Kelsey N. Sommer, Ciprian N. Ionita:
Recovery of complete time density curves from incomplete angiographic data using recurrent neural networks. - Xiaoning Zhang, Changjiang Li, Zeyu Zhang, Zhenhua Hu, Jie Tian:
Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography. - Huiqiao Xie, Yang Lei
Deep learning-based contrast-enhanced MRI using cascade networks with local supervision. - Kevin C. Ma, Michael V. Green, Elaine M. Jagoda, Jürgen Seidel, Peter L. Choyke, Baris Turkbey, Stephanie A. Harmon:
Deep learning vs. conventional methods for automatic quantification of total tumor radioactivity in positron projection images of mouse xenograft tumors. - Kevin Mueller, Anke Meyer-Baese, Gordon Erlebacher:
Multimodal region-based transformer for the classification and prediction of Alzheimer's disease.
Bone and skeletal imaging, Segmentation, Registration, Decision-Making
- Prakhar Prakash, Joseph Gross, Sandeep Dutta:
An iterative approach to efficient deep learning-based CT bone segmentation task. - Maryam Rahbaran
Cupping correction for partial rotation dental conebeam CT. - Indranil Guha
Clinical CT-based assessment of trabecular bone shear modulus using nonlinear finite element modelling. - Matthew A. Wysocki, Scott Doyle:
Generating statistical shape models of osteological structure from cadaveric CT data. - Nicola Hagemeister, Joseph Zeni Jr., Alix Cagnin, Shawna Crescenzo, Neila Mezghani:
Knee kinesiography exam: literature review of an innovative dynamic assessment of knee dysfunctions, towards functional imaging.
Cardiac imaging and Nanoparticle imaging
- Alex J. Allphin, Yvonne M. Mowery, Kyle J. Lafata, Darin P. Clark, A. Basil, Rico Castillo, Matthew D. Holbrook, Ketan B. Ghaghada, Cristian T. Badea
Spectral micro-CT and radiomic analysis for classification of tumors based on lymphocytic burden in cancer therapy studies. - Cristian T. Badea
Photon counting micro-CT for imaging Cisplatin. - Daiki Hara, Wensi Tao, Nesrin Dogan, Alan Pollack, John Chetley Ford, Junwei Shi:
Ex-vivo quantification and localization of PSMA-targeted GNPs via x-ray fluorescence imaging. - Zhennong Chen, Francisco Contijoch, Elliot R. McVeigh:
Development of deep learning pipeline for direct observation of wall motion abnormality from 4DCT.
Poster Session
- Richard L. J. Qiu, Yang Lei
CBCT lung multi-OAR segmentation via hierarchical network. - Rohini Gaikar, Fatemeh Zabihollahy, Nadia A. Farrag, Mohamed W. Elfaal, Nicola Schieda, Eranga Ukwatta:
Transfer learning based fully automated kidney segmentation on MR images. - Usamah N. Chaudhary
Deep learning-based abdominal muscle segmentation on CT images of surgical patient populations. - Yang Lei
Longitudinal deformable MRI registration via dual-feasible deep learning-based framework. - G. S. de Souza
Evaluation of MR-less in brain amyloid-β PET Centiloid quantification. - Roman Price, Mohammad Mahdi Shiraz Bhurwani, Kelsey N. Sommer, Andre Monteiro, Ammad A. Baig, Jason M. Davies, Adnan H. Siddiqui, Ciprian N. Ionita:
Initial investigation of the use of angiographic parametric imaging for early prognosis of delayed cerebral ischemia in patients with subarachnoid hemorrhage. - You Hao, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Lipeng Xie, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens:
Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI. - Shannon L. Taylor, Paula M. C. Donahue, Michael Pridmore, Maria Garza, Niral J. Patel, Chelsea A. Lee, Aaron W. Aday, Joshua A. Beckman, Manus J. Donahue, Rachelle Crescenzi:
Whole-leg chemical-shift encoded MRI analysis reveals differential subcutaneous adipose tissue accumulation in lipedema. - Jaryd R. Christie, Omar Daher, Hannah van Dongen, Rory Gilliland
A semi-automatic threshold-based segmentation algorithm for lung cancer delineation. - Mitchell Chudzik, Kyle A. Williams, Allison Shields, Swetadri Vasan Setlur Nagesh, Eric Paccione, Daniel R. Bednarek, Stephen Rudin, Ciprian N. Ionita:
Semi-automatic co-registration of 3D CFD vascular geometry to 1000 fps high-speed angiographic (HSA) projection images for flow determination comparisons. - Amirkhosro Kazemi, Marcus F. Stoddard, Amir A. Amini:
Reduced-order modeling of 4D flow MRI and CFD in stenotic flow using Proper Orthogonal Decomposition (POD) and Dynamic Mode Decomposition (DMD). - Beenish Patel, Anton Orlichenko, Yu-Ping Wang:
Multimodal graph isomorphism network to study fMRI connectivity in developmental stages of adolescence. - Yu Wang, Chang Bian, Yu An, Hanfan Wang, Qian Liang, Yang Du, Jie Tian:
Graph convolution based residual connected network for morphological reconstruction in fluorescence molecular tomography. - Rajikha Raja, Xiaoxu Na
Track-weighted imaging analysis of white matter microstructures in healthy children: Sex and hemispheric differences. - Yabo Fu, Yang Lei
CT-based volumetric strain imaging via a deep learning registration framework. - Marcelo Adrián Castro
Determination of reliable whole-lung CT features for robust standard radiomics and delta-radiomics analysis in a crab-eating macaque model of COVID-19: stability and sensitivity analysis. - Jui-Kai Wang, Michelle R. Tamplin
A superpixel-histogram method to analyze retinal, optic nerve, and choroidal blood flow using laser speckle flowgraphy. - Ming Tan, Nancy L. Ford:
Time course experiment using Fenestra VC and Fenestra HDVC contrast agents in small rodents for in vivo imaging. - Pouria Tohidi
Multiple Sclerosis brain lesion segmentation with different architecture ensembles. - Marije E. Kamphuis, Marcel J. W. Greuter
Evaluation of a cardiac flow phantom for absolute myocardial perfusion SPECT measurements. - Xiaohong W. Gao
Detection of human papillomavirus (HPV) from super resolution microscopic images applying a texture transformer network. - Nadia A. Farrag, Sathvik Bhagavan, David Sebben, Poojani Ruwanpura, James A. White, Eranga Ukwatta:
Automated myocardial segmentation of extra-cellular volume mapping cardiac magnetic resonance images using fully convolutional neural networks. - Shaoyan Pan, Yang Lei
Male pelvic multi-organ segmentation using V-transformer network. - Antonella Disanto, Antonio Pepe, Luana Petrelli, Christina Gsaxner, Jianning Li, Yuan Jin, Antonio Brunetti
Enhancement of aortic dissections in CT angiography: are common filters robust enough?
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-02-26 20:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: