The colloidal structure of crude oil and the structure of oil reservoirs
OC Mullins, SS Betancourt, ME Cribbs, FX Dubost… - Energy & …, 2007 - ACS Publications
Large sand bodies in the subsurface are shown to provide a unique laboratory for understanding
both reservoirs and crude oils. Here, we treat the discovery by downhole fluid analysis …
both reservoirs and crude oils. Here, we treat the discovery by downhole fluid analysis …
Semi-supervised medical image segmentation via learning consistency under transformations
The scarcity of labeled data often limits the application of supervised deep learning
techniques for medical image segmentation. This has motivated the development of semi-supervised …
techniques for medical image segmentation. This has motivated the development of semi-supervised …
Gray matter age prediction as a biomarker for risk of dementia
The gap between predicted brain age using magnetic resonance imaging (MRI) and chronological
age may serve as a biomarker for early-stage neurodegeneration. However, owing to …
age may serve as a biomarker for early-stage neurodegeneration. However, owing to …
Nanoaggregates of asphaltenes in a reservoir crude oil and reservoir connectivity
…, GT Ventura, AE Pomerantz, O Viloria, FX Dubost… - Energy & …, 2009 - ACS Publications
… On the basis of an asphaltene density of 1.2 g/cc, a reservoir oil density of 0.75 g/cc, a
height difference of 658 ft, and a reservoir temperature of 145 F, we obtain the diameter of the …
height difference of 658 ft, and a reservoir temperature of 145 F, we obtain the diameter of the …
Evaluation and comparison of accurate automated spinal curvature estimation algorithms with spinal anterior-posterior X-Ray images: The AASCE2019 challenge
Scoliosis is a common medical condition, which occurs most often during the growth spurt
just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate …
just before puberty. Untreated Scoliosis may cause long-term sequelae. Therefore, accurate …
Self-supervised graph neural networks for improved electroencephalographic seizure analysis
… During training, we perform data augmentation as described in Appendix F. … (e)–(f)
Example occlusion maps with focal seizure whose localization >0.9 from pre-trained Corr-DCRNN. …
Example occlusion maps with focal seizure whose localization >0.9 from pre-trained Corr-DCRNN. …
[HTML][HTML] Genomics of perivascular space burden unravels early mechanisms of cerebral small vessel disease
Perivascular space (PVS) burden is an emerging, poorly understood, magnetic resonance
imaging marker of cerebral small vessel disease, a leading cause of stroke and dementia. …
imaging marker of cerebral small vessel disease, a leading cause of stroke and dementia. …
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation
… Author links open overlay panel Florian Dubost a b , Marleen de Bruijne b c , Marco
Nardin a , Adrian V. Dalca d , Kathleen L. Donahue a , Anne-Katrin Giese a , Mark R. …
Nardin a , Adrian V. Dalca d , Kathleen L. Donahue a , Anne-Katrin Giese a , Mark R. …
[HTML][HTML] Adversarial attack vulnerability of medical image analysis systems: Unexplored factors
…, C González-Gonzalo, SC Wetstein, F Dubost… - Medical Image …, 2021 - Elsevier
Adversarial attacks are considered a potentially serious security threat for machine learning
systems. Medical image analysis (MedIA) systems have recently been argued to be …
systems. Medical image analysis (MedIA) systems have recently been argued to be …
[HTML][HTML] Enlarged perivascular spaces in brain MRI: automated quantification in four regions
Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are
common in aging, and are considered a reflection of cerebral small vessel disease. As such, …
common in aging, and are considered a reflection of cerebral small vessel disease. As such, …