26 citations · 63 across the 13 of their papers we have counts for
14 papers
Example-based Robust Abnormality Detection with Minimal Annotations using Exemplar Med-DETR
Sheethal Bhat, Bogdan Georgescu, Awais Mansoor +5
Reducing annotation requirements remains a key challenge in developing robust medical object detectors. To address this, Vision-Language (VL) object detection methods leverage grou…
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge
Manuela Daniela Danu, George Marica, Sanjeev Kumar Karn +8
Among all the sub-sections in a typical radiology report, the Clinical Indications, Findings, and Impression often reflect important details about the health status of a patient. T…
Self-supervised Learning from 100 Million Medical Images
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor +8
Building accurate and robust artificial intelligence systems for medical image assessment requires not only the research and design of advanced deep learning models but also the cr…
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth
Eduardo Mortani Barbosa, Warren B. Gefter, Rochelle Yang +13
Purpose: To leverage volumetric quantification of airspace disease (AD) derived from a superior modality (CT) serving as ground truth, projected onto digitally reconstructed radiog…
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor +11
The interpretation of medical images is a challenging task, often complicated by the presence of artifacts, occlusions, limited contrast and more. Most notable is the case of chest…
Communal Domain Learning for Registration in Drifted Image Spaces
Awais Mansoor, Marius George Linguraru
Designing a registration framework for images that do not share the same probability distribution is a major challenge in modern image analytics yet trivial task for the human visu…
Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection
Awais Mansoor, Antonio R. Porras, Marius George Linguraru
State-of-the-art methods for object detection use region proposal networks (RPN) to hypothesize object location. These networks simultaneously predicts object bounding boxes and \e…
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Awais Mansoor, Juan J. Cerrolaza, Geovanny Perez +4
Computer-aided diagnosis (CAD) techniques for lung field segmentation from chest radiographs (CXR) have been proposed for adult cohorts, but rarely for pediatric subjects. Statisti…
Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation
Awais Mansoor, Juan J. Cerrolaza, Robert A. Avery +1
MRI quantification of cranial nerves such as anterior visual pathway (AVP) in MRI is challenging due to their thin small size, structural variation along its path, and adjacent ana…
Optimally Stabilized PET Image Denoising Using Trilateral Filtering
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Low-resolution and signal-dependent noise distribution in positron emission tomography (PET) images makes denoising process an inevitable step prior to qualitative and quantitative…
Near-optimal Keypoint Sampling for Fast Pathological Lung Segmentation
Awais Mansoor, Ulas Bagci, Daniel J. Mollura
Accurate delineation of pathological lungs from computed tomography (CT) images remains mostly unsolved because available methods fail to provide a reliable generic solution due to…
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans
Awais Mansoor, Ulas Bagci, Brent Foster +5
Accurate and fast extraction of lung volumes from computed tomography (CT) scans remains in a great demand in the clinical environment because the available methods fail to provide…
A Statistical Modeling Approach to Computer-Aided Quantification of Dental Biofilm
Awais Mansoor, Valery Patsekin, Dale Scherl +2
Biofilm is a formation of microbial material on tooth substrata. Several methods to quantify dental biofilm coverage have recently been reported in the literature, but at best they…
BiofilmQuant: A Computer-Assisted Tool for Dental Biofilm Quantification
Awais Mansoor, Valery Patsekin, Dale Scherl +2
Dental biofilm is the deposition of microbial material over a tooth substratum. Several methods have recently been reported in the literature for biofilm quantification; however, a…