Year |
Citation |
Score |
2023 |
Harder TJ, Leary OP, Yang Z, Lucke-Wold B, Liu DD, Still MEH, Zhang M, Yeatts SD, Allen JW, Wright D, Merck D, Merck LH. Early Signs of Elevated Intracranial Pressure (ICP) on Computed Tomography Correlate with Measured ICP in the Intensive Care Unit and Six-Month Outcome Following Moderate to Severe TBI. Journal of Neurotrauma. PMID 37082956 DOI: 10.1089/neu.2022.0433 |
0.716 |
|
2021 |
Yi T, Pan I, Collins S, Chen F, Cueto R, Hsieh B, Hsieh C, Smith JL, Yang L, Liao WH, Merck LH, Bai H, Merck D. DICOM Image ANalysis and Archive (DIANA): an Open-Source System for Clinical AI Applications. Journal of Digital Imaging. PMID 34727303 DOI: 10.1007/s10278-021-00488-5 |
0.762 |
|
2020 |
Leary OP, Merck LH, Yeatts SD, Pan I, Liu DD, Harder TJ, Jung S, Collins S, Braileanu M, Gokaslan ZL, Allen JW, Wright D, Merck D. Computer-Assisted Measurement of Traumatic Brain Hemorrhage Volume is More Predictive of Functional Outcome and Mortality than Standard ABC/2 Method: An Analysis of CT Imaging Data from the ProTECTIII Trial. Journal of Neurotrauma. PMID 33191851 DOI: 10.1089/neu.2020.7209 |
0.707 |
|
2020 |
Harder T, Leary O, Liu D, Merck D, Wright D, Merck L. 40 Critical Care Medicine. 48: 20. DOI: 10.1097/01.Ccm.0000618660.71371.A7 |
0.747 |
|
2020 |
Leary O, Harder T, Liu D, Jung S, Braileanu M, Allen J, Merck D, Wright D, Merck L. 39 Critical Care Medicine. 48: 20. DOI: 10.1097/01.Ccm.0000618656.33254.54 |
0.747 |
|
2019 |
Yu JYH, Collins S, Liu DD, Leary OP, Merck D, Konakondla S, Nakhla J, Barber SM, Telfeian AE, Oyelese AA, Gokaslan ZL, Fridley JS. Objective indirect assessment of transverse ligament competence using quantitative analysis of 3D segmented flexion-extension computed tomography. World Neurosurgery. PMID 31899395 DOI: 10.1016/J.Wneu.2019.12.123 |
0.522 |
|
2019 |
Wilson TT, Merck LH, Zonfrillo MR, Movson JS, Merck D. Efficacy of Computed Tomography Utilization in the Assessment of Acute Traumatic Brain Injury in Adult and Pediatric Emergency Department Patients. Rhode Island Medical Journal (2013). 102: 33-35. PMID 31675785 |
0.769 |
|
2019 |
Pan I, Agarwal S, Merck D. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks. Journal of Digital Imaging. PMID 30838482 DOI: 10.1007/S10278-019-00180-9 |
0.375 |
|
2018 |
Asselin N, Choi B, Pettit CC, Dannecker M, Machan JT, Merck DL, Merck LH, Suner S, Williams KA, Baird J, Jay GD, Kobayashi L. Comparative Analysis of Emergency Medical Service Provider Workload During Simulated Out-of-Hospital Cardiac Arrest Resuscitation Using Standard Versus Experimental Protocols and Equipment. Simulation in Healthcare : Journal of the Society For Simulation in Healthcare. PMID 30407958 DOI: 10.1097/Sih.0000000000000339 |
0.743 |
|
2018 |
Kobayashi L, Zhang XC, Collins SA, Karim N, Merck DL. Exploratory Application of Augmented Reality/Mixed Reality Devices for Acute Care Procedure Training. The Western Journal of Emergency Medicine. 19: 158-164. PMID 29383074 DOI: 10.5811/westjem.2017.10.35026 |
0.659 |
|
2017 |
Konrad J, Merck D, Wu JY, Tuomi A, Beland M. Improving Ultrasound Detection of Uterine Adenomyosis Through Computational Texture Analysis. Ultrasound Quarterly. PMID 29112637 DOI: 10.1097/Ruq.0000000000000322 |
0.338 |
|
2017 |
Keshavamurthy KN, Leary OP, Merck LH, Kimia BB, Collins S, Wright DW, Allen JW, Brock JF, Merck D. Machine learning algorithm for automatic detection of CT-identifiable hyperdense lesions associated with traumatic brain injury Proceedings of Spie. 10134. DOI: 10.1117/12.2254227 |
0.788 |
|
2016 |
Kobayashi L, Gosbee JW, Merck DL. Development and Application of a Clinical Microsystem Simulation Methodology for Human Factors-Based Research of Alarm Fatigue. Herd. PMID 27815527 DOI: 10.1177/1937586716673829 |
0.651 |
|
2016 |
Choi B, Asselin N, Pettit CC, Dannecker M, Machan JT, Merck DL, Merck LH, Suner S, Williams KA, Jay GD, Kobayashi L. Simulation-based Randomized Comparative Assessment of Out-of-Hospital Cardiac Arrest Resuscitation Bundle Completion by Emergency Medical Service Teams Using Standard Life Support or an Experimental Automation-assisted Approach. Simulation in Healthcare : Journal of the Society For Simulation in Healthcare. PMID 27509064 DOI: 10.1097/Sih.0000000000000178 |
0.745 |
|
2016 |
Wu JY, Tuomi A, Beland MD, Konrad J, Glidden D, Grand D, Merck D. Quantitative analysis of ultrasound images for computer-aided diagnosis. Journal of Medical Imaging (Bellingham, Wash.). 3: 014501. PMID 26835502 DOI: 10.1117/1.Jmi.3.1.014501 |
0.377 |
|
2015 |
Wu JY, Beland M, Konrad J, Tuomi A, Glidden D, Grand D, Merck D. Quantitative ultrasound texture analysis for clinical decision making support Progress in Biomedical Optics and Imaging - Proceedings of Spie. 9419. DOI: 10.1117/12.2081949 |
0.346 |
|
2010 |
Kabul I, Merck D, Rosenman J, Pizer SM. Model-based solid texture synthesis for anatomic volume illustration Eg Vcbm 2010 - Eurographics Workshop On Visual Computing For Biology and Medicine. 133-140. DOI: 10.2312/VCBM/VCBM10/133-140 |
0.489 |
|
2008 |
Merck D, Tracton G, Saboo R, Levy J, Chaney E, Pizer S, Joshi S. Training models of anatomic shape variability. Medical Physics. 35: 3584-96. PMID 18777919 DOI: 10.1118/1.2940188 |
0.782 |
|
2007 |
Han Q, Merck D, Levy J, Villarruel C, Damon JN, Chaney EL, Pizer SM. Geometrically proper models in statistical training. Information Processing in Medical Imaging : Proceedings of the ... Conference. 20: 751-62. PMID 17633745 |
0.67 |
|
2005 |
Han Q, Pizer SM, Merck D, Joshi S, Jeong JY. Multi-figure anatomical objects for shape statistics. Information Processing in Medical Imaging : Proceedings of the ... Conference. 19: 701-12. PMID 17354737 |
0.749 |
|
2005 |
Joshi S, Merck D, Tracton G, Stough J, Broadhurst R, Pizer S, Chaney E. WE-C-I-609-07: On Constructing Priors and Likelihoods for Deformable Shape Models Medical Physics. 32: 2121-2122. DOI: 10.1118/1.1998498 |
0.743 |
|
2004 |
Chaney E, Pizer S, Joshi S, Broadhurst R, Fletcher T, Gash G, Han Q, Jeong J, Lu C, Merck D, Stough J, Tracton G. Automatic male pelvis segmentation from CT images via statistically trained multi-object deformable m-rep models International Journal of Radiation Oncology*Biology*Physics. 60: S153-S154. DOI: 10.1016/J.Ijrobp.2004.06.067 |
0.721 |
|
Show low-probability matches. |