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Comprehensive and Clinically Accurate Head and Neck Organs at Risk Delineation via Stratified Deep Learning: A Large-scale Multi-Institutional Study [article]

Dazhou Guo, Jia Ge, Xianghua Ye, Senxiang Yan, Yi Xin, Yuchen Song, Bing-shen Huang, Tsung-Min Hung, Zhuotun Zhu, Ling Peng, Yanping Ren, Rui Liu (+13 others)
<span title="2021-11-01">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this work we propose a novel, automated and highly effective stratified OAR segmentation (SOARS) system using deep learning to precisely delineate a comprehensive set of 42 H&N OARs.  ...  Accurate organ at risk (OAR) segmentation is critical to reduce the radiotherapy post-treatment complications.  ...  Acknowledgements This work is partially supported by Maintenance Project of the Center for Artificial Intelligence in Medicine (Grant CLRPG3H0012, CMRPG3K1091, SMRPG3I0011) at Chang Gung Memorial Hospital  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2111.01544v1">arXiv:2111.01544v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/unplp6vjrrejvpq5oifedz27ci">fatcat:unplp6vjrrejvpq5oifedz27ci</a> </span>
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Synergizing medical imaging and radiotherapy with deep learning

Hongming Shan, Xun Jia, Pingkun Yan, Yunyao Li, Harald Paganetti, Ge Wang
<span title="2020-04-03">2020</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/3prz46yunvc7zd6vmsixa7dpfa" style="color: black;">Machine Learning: Science and Technology</a> </i> &nbsp;
It is believed that deep learning in particular, and artificial intelligence and machine learning in general, will have a revolutionary potential to advance and synergize medical imaging and radiotherapy  ...  This article reviews deep learning methods for medical imaging (focusing on image reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from planning and verification to  ...  Acknowledgment This work was partially support by NIH/NCI under award numbers R01CA233888, R01CA237267, R01CA227289, R37CA214639, and R01CA237269, and NIH/NIBIB under award number R01EB026646.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/2632-2153/ab869f">doi:10.1088/2632-2153/ab869f</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aibfmfelcngkrk4ilwcs25c77a">fatcat:aibfmfelcngkrk4ilwcs25c77a</a> </span>
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Radiation Oncology in the Era of Big Data and Machine Learning for Precision Medicine [chapter]

Alexander F.I. Osman
<span title="2019-03-20">2019</span> <i title="IntechOpen"> Machine Learning in Medicine and Biology [Working Title] </i> &nbsp;
We present with discussion the areas where ML has presently been used and also areas where ML could be applied to improve the efficiency (i.e., optimizing and automating the clinical processes) and quality  ...  With the era of big data, the utilization of machine learning algorithms in radiation oncology research is growing fast with applications including patient diagnosis and staging of cancer, treatment simulation  ...  Most of the clinical aspects provided in this chapter were based on the author's knowledge and experience gained during his residency at AUBMC. The contents are solely representing the author's view.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5772/intechopen.84629">doi:10.5772/intechopen.84629</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tobl67e5qvgf5mat43ex5lounq">fatcat:tobl67e5qvgf5mat43ex5lounq</a> </span>
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Multi-Institutional Validation of Two-Streamed Deep Learning Method for Automated Delineation of Esophageal Gross Tumor Volume Using Planning CT and FDG-PET/CT

Xianghua Ye, Dazhou Guo, Chen-Kan Tseng, Jia Ge, Tsung-Min Hung, Ping-Ching Pai, Yanping Ren, Lu Zheng, Xinli Zhu, Ling Peng, Ying Chen, Xiaohua Chen (+13 others)
<span title="2022-01-24">2022</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mefn5t5kjndavkrqau5bzfpaoe" style="color: black;">Frontiers in Oncology</a> </i> &nbsp;
applicability of a deep learning multimodality esophageal GTV contouring model, developed at one institution whereas tested at multiple institutions.Materials and MethodsWe collected 606 patients with  ...  Contouring accuracy and time were recorded for the pre- and post-deep learning-assisted delineation process.  ...  The deep learning-based target volume and organ at risk contouring were also increasingly studied recently (11) (12) (13) (14) (15) (16) (17) .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2021.785788">doi:10.3389/fonc.2021.785788</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35141147">pmid:35141147</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8820194/">pmcid:PMC8820194</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/afn6ttbcyfcw5ipik64cajihl4">fatcat:afn6ttbcyfcw5ipik64cajihl4</a> </span>
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Machine Learning for Head and Neck Cancer: A Safe Bet?—A Clinically Oriented Systematic Review for the Radiation Oncologist

Stefania Volpe, Matteo Pepa, Mattia Zaffaroni, Federica Bellerba, Riccardo Santamaria, Giulia Marvaso, Lars Johannes Isaksson, Sara Gandini, Anna Starzyńska, Maria Cristina Leonardi, Roberto Orecchia, Daniela Alterio (+1 others)
<span title="2021-11-18">2021</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mefn5t5kjndavkrqau5bzfpaoe" style="color: black;">Frontiers in Oncology</a> </i> &nbsp;
The purpose of this clinically oriented systematic review is to illustrate the potential and limitations of the most commonly used ML models in solving everyday clinical issues in head and neck cancer  ...  and PurposeMachine learning (ML) is emerging as a feasible approach to optimize patients' care path in Radiation Oncology.  ...  Autosegmentation Segmentation of target volumes and organs at risk (OARs) is a critical component in the Radiation Oncology workflow.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2021.772663">doi:10.3389/fonc.2021.772663</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34869010">pmid:34869010</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8637856/">pmcid:PMC8637856</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gjlgknmscfbknp2npt3yzs5wvu">fatcat:gjlgknmscfbknp2npt3yzs5wvu</a> </span>
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Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images [article]

Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Chez Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
<span title="2022-02-17">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper presents an overview of the second edition of the HEad and neCK TumOR (HECKTOR) challenge, organized as a satellite event of the 24th International Conference on Medical Image Computing and  ...  This potentially obviates the need for GTVt contouring, opening avenues for reproducible and large scale radiomics studies including thousands potential subjects.  ...  Acknowledgments The organizers thank all the teams for their participation and valuable work. This challenge and the winner prizes were sponsored by Siemens Healthineers  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.04138v2">arXiv:2201.04138v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/2bsnrw4u75fhjawxw3s2ff43sa">fatcat:2bsnrw4u75fhjawxw3s2ff43sa</a> </span>
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The Learning Curve for Surgical Resection of Vestibular Schwannoma

Tamir Ailon, Ryojo Akagami
<span title="">2012</span> <i title="Georg Thieme Verlag KG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/i5iggr5c45gbnkrn5yw2pmhm6a" style="color: black;">Journal of Neurological Surgery. Part B: Skull Base: an interdisciplinary approach</a> </i> &nbsp;
The minimally invasive access through an eyelid incision involves dissection in normal tissue planes, preserves frontalis muscle fi bers, avoids injury to the fronto-temporal facial nerve branches, and  ...  the head and neck.  ...  approaches at the Department of Otolaryngology-Head and Neck Surgery at The University of North Carolina in Chapel Hill, NC.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0032-1312151">doi:10.1055/s-0032-1312151</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qfsmiu5eejdhfbq4e2kwdcttju">fatcat:qfsmiu5eejdhfbq4e2kwdcttju</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200323232358/https://www.thieme-connect.com/products/ejournals/pdf/10.1055/s-0032-1312151.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/03/f1/03f1582cad556a125791077e51b1a261e669a2f2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1055/s-0032-1312151"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology

Sandip Kumar Patel, Bhawana George, Vineeta Rai
<span title="2020-08-12">2020</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qigargnicncadmdn56ei23yjnu" style="color: black;">Frontiers in Pharmacology</a> </i> &nbsp;
Hence a comprehensive study, including genomics, epi-genomics, transcriptomics, proteomics, and metabolomics, along with the medical/mass-spectrometry imaging, patient clinical history, treatments provided  ...  Cancer is one of the most complex diseases affecting a range of organs with diverse disease progression mechanisms and the effectors ranging from gene-epigenetics to a wide array of metabolites.  ...  Also, DNNs predicted drug response and survival in a large clinical cohort . Deep learning is still an emerging area in biomedical field, their effectiveness is not always guaranteed.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fphar.2020.01177">doi:10.3389/fphar.2020.01177</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/32903628">pmid:32903628</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7438594/">pmcid:PMC7438594</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/u7mdynhnwfazbn6jhvcagorp2a">fatcat:u7mdynhnwfazbn6jhvcagorp2a</a> </span>
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Exploring Applications of Radiomics in Magnetic Resonance Imaging of Head and Neck Cancer: A Systematic Review

Amit Jethanandani, Timothy A. Lin, Stefania Volpe, Hesham Elhalawani, Abdallah S. R. Mohamed, Pei Yang, Clifton D. Fuller
<span title="2018-05-14">2018</span> <i title="Frontiers Media SA"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/mefn5t5kjndavkrqau5bzfpaoe" style="color: black;">Frontiers in Oncology</a> </i> &nbsp;
and collective interpretation of data.  ...  www.frontiersin.org May 2018 | Volume 8 | Article 131 conclusion: Although MRI radiomic applications demonstrate predictive potential in analyzing diverse HNC outcomes, methodological variances preclude accurate  ...  part of our LAMBDA-[RAD] 2 -HN initiative: a Large-scale Image Aggregation for Machine-Learning/Big Data Applications in Radiomics/Radiotherapy for Head and Neck Cancer.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2018.00131">doi:10.3389/fonc.2018.00131</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29868465">pmid:29868465</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC5960677/">pmcid:PMC5960677</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yikfkkl3dfbd5lcginlskkhgm4">fatcat:yikfkkl3dfbd5lcginlskkhgm4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222214325/http://pdfs.semanticscholar.org/3d1a/904ec3b178e810f2020d2ad2e2dc6ec2c82a.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/3d/1a/3d1a904ec3b178e810f2020d2ad2e2dc6ec2c82a.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3389/fonc.2018.00131"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> frontiersin.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5960677" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Radiomic biomarkers of tumor immune biology and immunotherapy response

Jarey H. Wang, Kareem A. Wahid, Lisanne V. van Dijk, Keyvan Farahani, Reid F. Thompson, Clifton David Fuller
<span title="2021-04-07">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zeezfaxa5jb4piv6yojkinxuh4" style="color: black;">Clinical and Translational Radiation Oncology</a> </i> &nbsp;
Predicting response has proven to be difficult given a lack of consistent and accurate biomarkers, heterogeneity of the tumor microenvironment (TME), and a poor understanding of resistance mechanisms.  ...  As therapies like immune checkpoint inhibitors (ICI) become a mainstay in treatment regimens, many concurrent challenges have arisen - for instance, delineating clinical responders from non-responders.  ...  Head and neck cancer Associations with immune phenotypes have been observed in limited studies via both MR and CT imaging of head and neck cancers.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ctro.2021.03.006">doi:10.1016/j.ctro.2021.03.006</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33937530">pmid:33937530</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8076712/">pmcid:PMC8076712</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/pb2xkgftvbdzffhfmejy2xflv4">fatcat:pb2xkgftvbdzffhfmejy2xflv4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210528125339/http://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC8076712&amp;blobtype=pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1d/08/1d089a59ec7da3126077b94e81352de2538d5467.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.ctro.2021.03.006"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076712" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

AAPM Spring Clinical Meeting - Abstract

<span title="">2021</span> <i title="Wiley (John Wiley &amp; Sons)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tb6ytx3735fnnhyqltxc6yayym" style="color: black;">Journal of Applied Clinical Medical Physics</a> </i> &nbsp;
Purpose: To survey deep learning and image segmentation techniques that automatically delineate multiple brain metastases within 3D MRI images.  ...  The configurable body part improved consistency of organ dose calculations. All C-Spine protocols initially had acquisition target regions of neck or head.  ...  Methods: Ten spinal metastatic cases were included in this study. Using each patient's diagnostic scan treatment targets and organs at risk were delineated.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/acm2.13289">doi:10.1002/acm2.13289</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34002941">pmid:34002941</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6oivewssf5gwnnztmhff4nldle">fatcat:6oivewssf5gwnnztmhff4nldle</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210715095949/https://aapm.onlinelibrary.wiley.com/doi/pdfdirect/10.1002/acm2.13289" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/f5/0b/f50b648ef53509846d65156aa7462ecc44e70731.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1002/acm2.13289"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> wiley.com </button> </a>

23rd annual SASRO meeting

<span title="2019-11-08">2019</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/onhfnqlngnb7dab5iito7spyvq" style="color: black;">Strahlentherapie und Onkologie (Print)</a> </i> &nbsp;
For 3D-measurement, Monaco and COMPASS doses were compared by means of Percentage (%age) dose differences to PTV and organ at risks (OAR).  ...  Monaco calculated and COMPASS (measured and calculated) doses were compared using DVH, in terms of doses to planning target volume (PTV) and organ at risks (OAR).  ...  Strahlenther Onkol (2019) 195:1122-1153 Fully automated organs at risk delineation for brain tumor radiation planning in patients with glioblastoma using deep learning Type: ClinicalPresenting Author  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00066-019-01531-9">doi:10.1007/s00066-019-01531-9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/31705150">pmid:31705150</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/s5jxolouuvg5phc4jw5kczmony">fatcat:s5jxolouuvg5phc4jw5kczmony</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200510141911/https://link.springer.com/content/pdf/10.1007/s00066-019-01531-9.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/77/29/772916684bc539bd59d471a37324e680c78b27c3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s00066-019-01531-9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a>

Complete Issue Volume 12 Issue 3

Editor, Journal of the Scholarship of Teaching and Learning
<span title="">2012</span> <i title="Indiana University Office of Scholarly Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/tqt6w6etwfewndarkmavxwwmyq" style="color: black;">The Journal of Scholarship of Teaching and Learning</a> </i> &nbsp;
You may also acknowledge colleagues that have played a significant role in this research.  ...  Acknowledgements Acknowledgements should identify grants or other financial support for this research by agency (source) and number (if appropriate).  ...  Such a resource was not available at the institution where this study occurred.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://doaj.org/article/495bbad130e84e33a3b3de9b739eacd3">doaj:495bbad130e84e33a3b3de9b739eacd3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/aximmtn3cbccbobl4u7huklcjy">fatcat:aximmtn3cbccbobl4u7huklcjy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201125014747/https://scholarworks.iu.edu/journals/index.php/josotl/article/download/2160/19731/" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/90/2c/902c8271dfe7e51719c4ed0fd4e19340978fc9b1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a>

EPSM 2020, Engineering and Physical Sciences in Medicine

<span title="2021-08-23">2021</span> <i title="Springer Science and Business Media LLC"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/g7rhe7g6rvcaxnl6gjytmxafue" style="color: black;">Physical and Engineering Sciences in Medicine</a> </i> &nbsp;
Limited experience in conducting online exams resulted in a steep learning curve to identify methods to assure academic integrity.  ...  The clinical community is urged to identify methods to facilitate the early return of hospital-based teaching to prepare future TEAP registrars with the appropriate foundational education.  ...  Acknowledgements We thank the AAPM, Scandidos and Varian for their support. References Acknowledgements Calvary Mater Newcastle is a reference site for C-Rad.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13246-021-01024-z">doi:10.1007/s13246-021-01024-z</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/34424484">pmid:34424484</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8381140/">pmcid:PMC8381140</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/7jrqj62qgzhcxaiztb627teqxe">fatcat:7jrqj62qgzhcxaiztb627teqxe</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220120050055/http://link.springer.com/content/pdf/10.1007/s13246-021-01024-z.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/aa/be/aabe9d15f2823cdcce9077082d0cd50b9d4b280d.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13246-021-01024-z"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381140" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

A - Postgraduate Educational Programme

<span title="">2010</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/5pgrqns2fjcohbjg75bidocc3y" style="color: black;">Insights into Imaging</a> </i> &nbsp;
For this, multicentric, large-scale efforts to create large databanks of multidisciplinary information, aiming at linking the different types, are needed. Learning Objectives: A S87 C B D E F G 1.  ...  To know organs at risk in typical trauma situations and to be able to quantify lesions and hierarchise the potential risk.  ...  Head and neck cancer commonly originates from the oral cavity as well as from the oropharynx. As in most head and neck sites, squamous cell carcinoma is by far the most prevalent histology.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-010-0010-2">doi:10.1007/s13244-010-0010-2</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23099630">pmid:23099630</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3534349/">pmcid:PMC3534349</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/5fiszmj5unftrhizcn3encksgy">fatcat:5fiszmj5unftrhizcn3encksgy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170922042131/https://link.springer.com/content/pdf/10.1007%2Fs13244-010-0010-2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1007/s13244-010-0010-2"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3534349" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>
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