Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation
Direct estimation of cardiac ventricular volumes has become increasingly popular and
important in cardiac function analysis due to its effectiveness and efficiency by avoiding an …
important in cardiac function analysis due to its effectiveness and efficiency by avoiding an …
Direct multitype cardiac indices estimation via joint representation and regression learning
Cardiac indices estimation is of great importance during identification and diagnosis of
cardiac disease in clinical routine. However, estimation of multitype cardiac indices with …
cardiac disease in clinical routine. However, estimation of multitype cardiac indices with …
Direct estimation of cardiac bi-ventricular volumes with regression forests
Accurate estimation of ventricular volumes plays an essential role in clinical diagnosis of
cardiac diseases. Existing methods either rely on segmentation or are restricted to direct …
cardiac diseases. Existing methods either rely on segmentation or are restricted to direct …
Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression
Cardiac four-chamber volume estimation serves as a fundamental and crucial role in clinical
quantitative analysis of whole heart functions. It is a challenging task due to the huge …
quantitative analysis of whole heart functions. It is a challenging task due to the huge …
Direct and simultaneous four-chamber volume estimation by multi-output regression
Cardiac four-chamber volumes provide crucial information for quantitative analysis of whole
heart functions. Conventional cardiac volume estimation relies on a segmentation step; …
heart functions. Conventional cardiac volume estimation relies on a segmentation step; …
Multitarget sparse latent regression
Multitarget regression has recently generated intensive popularity due to its ability to
simultaneously solve multiple regression tasks with improved performance, while great challenges …
simultaneously solve multiple regression tasks with improved performance, while great challenges …
Comparing GPT-3.5 and GPT-4 Accuracy and Drift in Radiology Diagnosis Please Cases
Comparing GPT-3.5 and GPT-4 Accuracy and Drift in Radiology Diagnosis Please Cases |
Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …
Radiology RSNA "skipMainNavigation" closeDrawerMenuopenDrawerMenu Home Journals All …
Contrast-Enhanced Mammography–Guided Breast Biopsy: Single-Center Experience
A Kornecki, M Bhaduri, N Khan… - American Journal of …, 2023 - Am Roentgen Ray Soc
This prospective single-center study enrolled 50 women with 51 contrast-enhanced
mammography (CEM)-enhancing lesions that lacked a sonographic or mammographic correlate. …
mammography (CEM)-enhancing lesions that lacked a sonographic or mammographic correlate. …
Cecal volvulus
SY Lee, M Bhaduri - Cmaj, 2013 - Can Med Assoc
An otherwise healthy 72-year-old woman with no history of abdominal surgery presented to
the emergency department with intermittent pain in her right lower quadrant, abdominal …
the emergency department with intermittent pain in her right lower quadrant, abdominal …
Descriptor learning via supervised manifold regularization for multioutput regression
Multioutput regression has recently shown great ability to solve challenging problems in both
computer vision and medical image analysis. However, due to the huge image variability …
computer vision and medical image analysis. However, due to the huge image variability …