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An overview of deep learning in medical imaging focusing on MRI

Alexander Selvikvåg Lundervold, Arvid Lundervold
2018 Zeitschrift für Medizinische Physik  
to disease prediction; (iii) provide a starting point for people interested in experimenting and perhaps contributing to the field of machine learning for medical imaging by pointing out good educational  ...  Deep neural networks are now the state-of-the-art machine learning models across a variety of areas, from image analysis to natural language processing, and widely deployed in academia and industry.  ...  Acknowledgements We thank Renate Grüner for useful discussions. The anonymous reviewers gave us excellent constructive feedback that led to several improvements throughout the article.  ... 
doi:10.1016/j.zemedi.2018.11.002 fatcat:kkimovnwcrhmth7mg6h6cpomjm

Review: Deep Learning in Electron Microscopy [article]

Jeffrey M. Ede
2020 arXiv   pre-print
For context, we review popular applications of deep learning in electron microscopy.  ...  We then review neural network components, popular architectures, and their optimization. Finally, we discuss future directions of deep learning in electron microscopy.  ...  Acknowledgements Thanks go to Jeremy Sloan and Martin Lotz for internally reviewing this article.  ... 
arXiv:2009.08328v4 fatcat:umocfp5dgvfqzck4ontlflh5ca

Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jiménez-Mesa, Javier Ramirez, Francisco J. Martinez, Juan Manuel Gorriz
2020 Information Fusion  
of available imaging modalities, (4) fundamental fusion rules, (5) fusion quality assessment methods, and (6) the applications of fusion for atlas-based segmentation and quantification.  ...  We provide a review that encompasses (1) an overview of current challenges in multimodal fusion (2) the current medical applications of fusion for specific neurological diseases, (3) strengths and limitations  ...  During PET studies, only a tiny amount of radioactive substance is needed for the examination of targeted tissues.  ... 
doi:10.1016/j.inffus.2020.07.006 pmid:32834795 pmcid:PMC7366126 fatcat:3cmhcplb5bf2fgpx3kukifbj74

SPR 2020

2020 Pediatric Radiology  
Purpose or Case Report: In this study, we trained two convolutional neural networks to automatically identify the third vertebral level and segment the abdominal muscle in contrast enhanced abdominal CT  ...  Conclusions: The U-Net models trained on our datasets accurately segment the abdominal muscle on pediatric axial CT scans across the range of ages 0-18 years.  ...  Results: Though its use is considered off label in children, there are several advantages of 68 Gallium Dotatate PET/CT over traditional Octreoscan and MIBG scanning of neuroendocrine tumors, NET, in children  ... 
doi:10.1007/s00247-020-04679-0 pmid:32435980 fatcat:y6da6d4blvaxlkus6w6zahpwlu

Conference Guide [Front matter]

2020 2020 16th International Conference on Control, Automation, Robotics and Vision (ICARCV)  
Deep Recurrent Q- Network (I), pp. 428-433.  ...  The major idea is extracting channel salience by squeeze and excitation block and pushing the salience to either 0 or 1 by a sin-based function. Then take the salience as criteria for pruning.  ...  In this paper we investigate the resilient consensus problem for multi-agent systems under the specific attack scenarios where the attacker can eavesdrop on initial information of agents among the system  ... 
doi:10.1109/icarcv50220.2020.9305477 fatcat:4h7gpoj7ljgsrlkjoyw3qcfzxi

ESNR 2016

2016 Neuroradiology  
Purpose: We studied differences in diffusion tensor imaging metrics (DTI-metrics) of white matter structural integrity among cohorts of subjects with multiple sclerosis (MS) classified according to progression  ...  We used analysis of variance to assess differences in SRT among groups and analysis of covariance (ANCOVA) including variables associated with cognitive scores (p<0.01) to analyze relations between DTI-metrics  ...  Hypo-connectivity both within the default mode network (DMN) and in the salience network were identified in the NPSLE sub-groups in comparison to HCs.  ... 
doi:10.1007/s00234-016-1734-6 pmid:27578442 fatcat:ia2lasp4prfqxf7u2sh7hsyvem

Predicting room acoustical behavior with the ODEON computer model

Graham Naylor, Jens Holger Rindel
1992 Journal of the Acoustical Society of America  
Data were collected for localization in noise, binaural intelligibility level difference, and target acquisition experiments.  ...  NoSo and NoS•r thresholds were measured for pure-tone and l/3-octave noise targets in narrow and wideband noise maskera as a function of frequency.  ...  A new method for metaphoric learning in neural networks is presented.  ... 
doi:10.1121/1.404931 fatcat:z4hbezklfzgu7hyy7qvos3wyo4

Modeling and experiments with low‐frequency pressure wave propagation in liquid‐filled, flexible tubes

Cato Bjelland, Leif Bjo/rno/
1992 Journal of the Acoustical Society of America  
Data were collected for localization in noise, binaural intelligibility level difference, and target acquisition experiments.  ...  NoSo and NoS•r thresholds were measured for pure-tone and l/3-octave noise targets in narrow and wideband noise maskera as a function of frequency.  ...  A new method for metaphoric learning in neural networks is presented.  ... 
doi:10.1121/1.404777 fatcat:xhmwz65h5bbqxbt52khae2rq7q

Treatment of early and late reflections in a hybrid computer model for room acoustics

Graham Naylor
1992 Journal of the Acoustical Society of America  
Data were collected for localization in noise, binaural intelligibility level difference, and target acquisition experiments.  ...  NoSo and NoS•r thresholds were measured for pure-tone and l/3-octave noise targets in narrow and wideband noise maskera as a function of frequency.  ...  A new method for metaphoric learning in neural networks is presented.  ... 
doi:10.1121/1.404930 fatcat:xeehcxepjvhuzmnaeudpqxtnvu

List of Abstracts from the Twenty-ninth Annual Meeting of the Association for Chemoreception Sciences

2007 Chemical Senses  
Honey bees have a brain the size of a grass seed, yet live together in societies that rival our own in complexity and internal cohesion. How do they stick together and work together so well?  ...  Topics include insect colonies as examples of self-organizing complex systems; deep conservation of neural mechanisms that couple experience with changes in brain structure; understanding the evolution  ...  and olfactory information are composed of dynamic, interactive networks of neurons arranged in series, recurrently and in parallel along the neuraxis.  ... 
doi:10.1093/chemse/bjm024 fatcat:vvc2tltr6ff2jpjf5oexocyuyy

PhD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY & BIONICS 2015 PhD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY & BIONICS PhD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY & BIONICS 2015

Pázmány Péter
unpublished
the helpful and professional guidance and also thank both his supervisor and Lajos Balogh (PhD) for providing data of mice (examined in this paper).  ...  ACKNOWLEDGMENT The authors are grateful to George Bourianoff (Intel Corp, Austin, TX) and for Giovanni Carlotti (University of Perugia) for motivating discussions.  ...  Scientists make an effort in several fields to improve methods: ex. analysing CT scans, or helping early breast cancer detection based on mammographic images [4] [5] .  ... 
fatcat:odh6qicnh5bbhgv67aukrbq2ty

Emotion elicitation by odors and their influence on behavior and cognitive performance

Aline Pichon, Patrik Vuilleumier, David Sander
2015
Unfamiliar odors (Figure 39c , green blobs) engaged a predominantly frontal network centered on ACC and dlPFC (BA9), dorsal insula, and cerebellum, possibly implicated in novelty or salience detection  ...  salience and relevance .  ... 
doi:10.13097/archive-ouverte/unige:75411 fatcat:iko6qsxq45hyzarsu2kwychyae

A new procreation story : the contested domain of the in vitro fertilization pre-embryo in British Columbia

Patricia M. Lee
1994
The versatility of the pre-embryo for use in both research and treatment has resulted in a growing controversy about its potential for altering the natural relations and sequencing of biological family  ...  for analysis of the three discourses.  ...  Medications are paid for directly to the pharmacy with standard reimbursement procedure through Pharmacare.  ... 
doi:10.14288/1.0088176 fatcat:yleekxqr6vd27l4l4zutbsb2ja