Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation

X Zhen, Z Wang, A Islam, M Bhaduri, I Chan, S Li - Medical image analysis, 2016 - Elsevier
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 …

Direct multitype cardiac indices estimation via joint representation and regression learning

W Xue, A Islam, M Bhaduri, S Li - IEEE transactions on medical …, 2017 - ieeexplore.ieee.org
Cardiac indices estimation is of great importance during identification and diagnosis of
cardiac disease in clinical routine. However, estimation of multitype cardiac indices with …

Direct estimation of cardiac bi-ventricular volumes with regression forests

X Zhen, Z Wang, A Islam, M Bhaduri, I Chan… - Medical Image Computing …, 2014 - Springer
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 …

Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression

X Zhen, H Zhang, A Islam, M Bhaduri, I Chan, S Li - Medical image analysis, 2017 - Elsevier
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 …

Direct and simultaneous four-chamber volume estimation by multi-output regression

X Zhen, A Islam, M Bhaduri, I Chan, S Li - … 5-9, 2015, Proceedings, Part I …, 2015 - Springer
Cardiac four-chamber volumes provide crucial information for quantitative analysis of whole
heart functions. Conventional cardiac volume estimation relies on a segmentation step; …

Multitarget sparse latent regression

…, M Yu, F Zheng, IB Nachum, M Bhaduri… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
Multitarget regression has recently generated intensive popularity due to its ability to
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

D Li, K Gupta, M Bhaduri, P Sathiadoss, S Bhatnagar… - Radiology, 2024 - pubs.rsna.org
Comparing GPT-3.5 and GPT-4 Accuracy and Drift in Radiology Diagnosis Please Cases |
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. …

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 …

Descriptor learning via supervised manifold regularization for multioutput regression

X Zhen, M Yu, A Islam, M Bhaduri… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
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 …