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Atherosclerotic Plaque Component Segmentation in Combined Carotid MRI and CTA Data Incorporating Class Label Uncertainty

Arna van Engelen, Wiro J. Niessen, Stefan Klein, Harald C. Groen, Hence J. M. Verhagen, Jolanda J. Wentzel, Aad van der Lugt, Marleen de Bruijne, Jean-Claude Baron
2014 PLoS ONE  
Citation: van Engelen A, Niessen WJ, Klein S, Groen HC, Verhagen HJM, et al. (2014) Atherosclerotic Plaque Component Segmentation in Combined Carotid MRI and CTA Data Incorporating Class Label Uncertainty  ...  We segment atherosclerotic plaque components from the carotid artery on a combination of in vivo MRI and CT-angiography (CTA) data using supervised voxelwise classification.  ...  This corresponds to the idea that a LRNC characterizes more vulnerable plaques and calcifications characterize more stable plaques [6, 7] .  ... 
doi:10.1371/journal.pone.0094840 pmid:24762678 pmcid:PMC3999092 fatcat:3i54rdox45gpvdjuuly7al223y

Iterative Self-Organizing Atherosclerotic Tissue Labeling in Intravascular Ultrasound Images and Comparison With Virtual Histology

A. Katouzian, A. Karamalis, D. Sheet, E. Konofagou, B. Baseri, S. G. Carlier, A. Eslami, Andreas Konig, N. Navab, A. F. Laine
2012 IEEE Transactions on Biomedical Engineering  
atherosclerotic plaque labeling.  ...  for in vivo applications.  ...  Sum at InfraRedx (Burlington, MA) who developed the artery fixation cage and helped in collecting IVUS data. The histology samples were processed at CVPath (Gaithersburg, MD) under supervision of Dr.  ... 
doi:10.1109/tbme.2012.2213338 pmid:22907962 fatcat:ailea6wconfopg5yopnflpcene

Challenges in Atherosclerotic Plaque Characterization With Intravascular Ultrasound (IVUS): From Data Collection to Classification

A. Katouzian, S. Sathyanarayana, B. Baseri, E.E. Konofagou, S. Carlier
2008 IEEE Transactions on Information Technology in Biomedicine  
In vivo plaque characterization is an important research field in interventional cardiology.  ...  In this paper, two fundamental questions are addressed: 1) what is the best reliable way to extract the most informative features?  ...  In this paper, we described realistic challenges in atherosclerotic plaque characterization.  ... 
doi:10.1109/titb.2007.912352 pmid:18693499 fatcat:xsllmy4cifed7jcyjoynvvabb4

Rise of Raman spectroscopy in neurosurgery: a review

Damon DePaoli, Émile Lemoine, Katherine Ember, Martin Parent, Michel Prud'homme, Léo Cantin, Kevin Petrecca, Frédéric Leblond, Daniel C. Côté
2020 Journal of Biomedical Optics  
The main translatable interest in Raman sensing rests in its capacity to yield label-free molecular information from tissue intraoperatively.  ...  Systems that have proven usable in the clinical setting are ergonomic, have a short integration time, and can acquire high-quality signal even in suboptimal conditions.  ...  A supervised ML model was used to assign each spectrum acquired in glioblastoma tissue to one of two classes: vital tissue and necrotic.  ... 
doi:10.1117/1.jbo.25.5.050901 pmid:32358930 pmcid:PMC7195442 fatcat:2fwf5c2yjzfz5hped5rid3w6qu

Guidelines by the AAPM and GEC-ESTRO on the use of innovative brachytherapy devices and applications: Report of Task Group 167

Ravinder Nath, Mark J. Rivard, Larry A. DeWerd, William A. Dezarn, H. Thompson Heaton, Geoffrey S. Ibbott, Ali S. Meigooni, Zoubir Ouhib, Thomas W. Rusch, Frank-André Siebert, Jack L. M. Venselaar
2016 Medical Physics (Lancaster)  
As with any other medical device, off-label use of 90 Y microspheres should be conducted under the supervision of an IRB.  ...  Hence, if the device is used in a manner not included in the PMA, it is being used off-label. Here off-label refers to any use of the device that is not specified in its approved labeling.  ... 
doi:10.1118/1.4951734 pmid:27277063 fatcat:wptwnjm26bezpnm53qjkafydgq

Deep learning in medical imaging and radiation therapy

Berkman Sahiner, Aria Pezeshk, Lubomir M. Hadjiiski, Xiaosong Wang, Karen Drukker, Kenny H. Cha, Ronald M. Summers, Maryellen L. Giger
2018 Medical Physics (Lancaster)  
that researchers have taken to address these challenges; and (c) identify some of the promising avenues for the future both in terms of applications as well as technical innovations.  ...  The goals of this review paper on deep learning (DL) in medical imaging and radiation therapy are to (a) summarize what has been achieved to date; (b) identify common and unique challenges, and strategies  ...  of signal statistics between in vitro and in vivo image domains.  ... 
doi:10.1002/mp.13264 pmid:30367497 fatcat:bottst5mvrbkfedbuocbrstcnm

Causes of oral cancer – an appraisal of controversies

S. Warnakulasuriya
2009 British Dental Journal  
The plaque growth inhibition studies used an 18-hour protocol described by Harrap (Ref. 458) to test the effect of the combination dentifrice on plaque growth in vivo.  ...  significant relief of the type claimed in its labeling.  ...  of the active ingredient using a Disk Retention Assay (DRA). (3) Demonstrate the biological activity of the product using an ex vivo Plaque Glycolysis and Regrowth Model (PGRM).  ... 
doi:10.1038/sj.bdj.2009.1009 pmid:19946320 fatcat:d4aqur5zxvggzj4mpaeji75xsq

A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises [article]

S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers
2020 arXiv   pre-print
We cover the topics of network architecture, sparse and noisy labels, federating learning, interpretability, uncertainty quantification, etc.  ...  In this survey paper, we first highlight both clinical needs and technical challenges in medical imaging and describe how emerging trends in deep learning are addressing these issues.  ...  Methodological contributions include novel ways of preprocessing the images, handling the label uncertainty and the large number of classes, suppressing the bones [65] , and exploiting self-supervised  ... 
arXiv:2008.09104v1 fatcat:z2gic7or4vgnnfcf4joimjha7i

Appropriate use criteria for amyloid PET: A report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer's Association

Keith A. Johnson, Satoshi Minoshima, Nicolaas I. Bohnen, Kevin J. Donohoe, Norman L. Foster, Peter Herscovitch, Jason H. Karlawish, Christopher C. Rowe, Maria C. Carrillo, Dean M. Hartley, Saima Hedrick, Virginia Pappas (+1 others)
2013 Alzheimer's & Dementia  
The AIT considered a broad range of specific clinical scenarios in which amyloid PET could potentially be used appropriately.  ...  Because both dementia care and amyloid PET technology are in active development, these AUC will require periodic reassessment.  ...  We thank the following individuals for rating the papers used in the evidence-based  ... 
doi:10.1016/j.jalz.2013.01.002 pmid:23360977 pmcid:PMC3733252 fatcat:jafmzkdyynar3mllgwmc5mvvxq

Appropriate Use Criteria for Amyloid PET: A Report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer's Association

K. A. Johnson, S. Minoshima, N. I. Bohnen, K. J. Donohoe, N. L. Foster, P. Herscovitch, J. H. Karlawish, C. C. Rowe, M. C. Carrillo, D. M. Hartley, S. Hedrick, V. Pappas (+1 others)
2013 Journal of Nuclear Medicine  
The AIT considered a broad range of specific clinical scenarios in which amyloid PET could potentially be used appropriately.  ...  Because both dementia care and amyloid PET technology are in active development, these AUC will require periodic reassessment.  ...  We thank the following individuals for rating the papers used in the evidence-based  ... 
doi:10.2967/jnumed.113.120618 pmid:23359661 fatcat:trsjbfq2bnhevo6ywe3p4r6bii

Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications [article]

Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang
2022 arXiv   pre-print
Magnetic resonance imaging (MRI) provides detailed in-vivo structural information, permitting the quantification and categorization of MS lesions that critically inform disease management.  ...  Multiple sclerosis (MS) is a chronic inflammatory and degenerative disease of the central nervous system, characterized by the appearance of focal lesions in the white and gray matter that topographically  ...  The method also involves an uncertainty-based loss function using a combination of focal loss and label-flip loss to account for noisy labels.  ... 
arXiv:2104.10029v3 fatcat:elds3foafrdc5ireld5wahp5ra

Artificial Intelligence in Translational Medicine

Simone Brogi, Vincenzo Calderone
2021 International Journal of Translational Medicine  
The huge advancement in Internet web facilities as well as the progress in computing and algorithm development, along with current innovations regarding high-throughput techniques, enable the scientific  ...  Accordingly, in this review article, we analyze the most advanced applications of AI in translational medicine, providing an up-to-date outlook regarding this emerging field.  ...  Briefly, the output labels, such as a disorder, are known in advance in supervised ML models.  ... 
doi:10.3390/ijtm1030016 fatcat:c6g6ld26gjg6jbkcddauo44qvu

Molecular probes for cellular imaging of post-translational proteoforms

Surased Suraritdechachai, Benya Lakkanasirorat, Chayasith Uttamapinant
2022 RSC Chemical Biology  
Specific post-translational modification (PTM) states of a protein affect its property and function; understanding their dynamics in cells would provide deep insight into diverse signaling pathways and  ...  vivo and clinical work.  ...  Technologies to synthesize proteoforms have enabled their functional characterizations in vitro and recently, in cells.  ... 
doi:10.1039/d1cb00190f pmid:35360891 pmcid:PMC8826509 fatcat:gql4r42m2nfbvbgpzktbnrwp2q

A Review of JACC Journal Articles on the Topic of Cardiac Imaging: 2011–2012

2013 Journal of the American College of Cardiology  
Prior studies indicate that gadolinium micelles labeled with oxidation-specific antibodies allow for in vivo detection of vulnerable plaques with magnetic resonance imaging (MRI).  ...  and molecular magnetic resonance imaging (MRI) to detect and characterize abdominal aortic aneurysms (AAAs) in vivo.  ... 
doi:10.1016/j.jacc.2013.08.002 fatcat:rr77fpox5vgb7jcgervp4orbja

A Graph Gaussian Embedding Method for Predicting Alzheimer's Disease Progression with MEG Brain Networks [article]

Mengjia Xu, David Lopez Sanz, Pilar Garces, Fernando Maestu, Quanzheng Li, Dimitrios Pantazis
2020 arXiv   pre-print
Characterizing the subtle changes of functional brain networks associated with the pathological cascade of Alzheimer's disease (AD) is important for early diagnosis and prediction of disease progression  ...  These latent distribution-based embeddings enable a quantitative characterization of subtle and heterogeneous brain connectivity patterns at different regions and can be used as input to traditional classifiers  ...  Incorporating powerful graph representation learning methods in complex human brain network applications could yield a novel and promising tool for characterization of AD progression.  ... 
arXiv:2005.05784v2 fatcat:77x3jlz7njgxxdzbuuzj4kzfki
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