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Author Details

Awais Mansoor
Siemens Healthineers
1991
42
13
PMIDPaper TitleJournal TitlePublished Year
34352804Artificial Intelligence in Chest Radiography Reporting Accuracy: Added Clinical Value in the Emergency Unit Setting Without 24/7 Radiology Coverage.Invest Radiol2022
35721308Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19.J Med Imaging (Bellingham)2022
36466078Contrastive self-supervised learning from 100 million medical images with optional supervision.J Med Imaging (Bellingham)2022
35864468Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning.BMC Infect Dis2022
35257605A Semi-Automated Method for Measuring Biofilm Accumulation on the Teeth Using Quantitative Light-Induced Fluorescence in Dogs and Cats.J Vet Dent2022
33260116Quantifying and leveraging predictive uncertainty for medical image assessment.Med Image Anal2021
33774722Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training.Eur Radiol2021
34964851An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.JAMA Netw Open2021
33481459Automated Detection and Quantification of COVID-19 Airspace Disease on Chest Radiographs: A Novel Approach Achieving Expert Radiologist-Level Performance Using a Deep Convolutional Neural Network Trained on Digital Reconstructed Radiographs From Computed Tomography-Derived Ground Truth.Invest Radiol2021
31425015A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.IEEE Trans Biomed Eng2020
32086190Ultrasound-Based Phenotyping of Lateral Ventricles to Predict Hydrocephalus Outcome in Premature Neonates.IEEE Trans Biomed Eng2020
31953419Validation of a new predictive model to improve risk stratification in bronchopulmonary dysplasia.Sci Rep2020
30631137Ventricular shape evaluation on early ultrasound predicts post-hemorrhagic hydrocephalus.Pediatr Res2019
30441059Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome.Annu Int Conf IEEE Eng Med Biol Soc2018
28592911Marginal Shape Deep Learning: Applications to Pediatric Lung Field Segmentation.Proc SPIE Int Soc Opt Eng2017
29059837Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage.Annu Int Conf IEEE Eng Med Biol Soc2017
26930677Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.IEEE Trans Med Imaging2016
28324924Automatic tissue characterization of air trapping in chest radiographs using deep neural networks.Annu Int Conf IEEE Eng Med Biol Soc2016
27815398Optic pathway glioma volume predicts retinal axon degeneration in neurofibromatosis type 1.Neurology2016
27170570Quantitative MRI criteria for optic pathway enlargement in neurofibromatosis type 1.Neurology2016
25546346Correction to "a generic approach to pathological lung segmentation".IEEE Trans Med Imaging2015
26736226Severity quantification of pediatric viral respiratory illnesses in chest X-ray images.Annu Int Conf IEEE Eng Med Biol Soc2015
26133591Computer-aided pulmonary image analysis in small animal models.Med Phys2015
26172351Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends.Radiographics2015
26026778A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.Med Image Anal2015
25710065A statistical modeling approach to computer-aided quantification of dental biofilm.IEEE J Biomed Health Inform2015
24845019A review on segmentation of positron emission tomography images.Comput Biol Med2014
25571372Near-optimal keypoint sampling for fast pathological lung segmentation.Annu Int Conf IEEE Eng Med Biol Soc2014
25570929BiofilmQuant: a computer-assisted tool for dental biofilm quantification.Annu Int Conf IEEE Eng Med Biol Soc2014
25570151CIDI-lung-seg: a single-click annotation tool for automatic delineation of lungs from CT scans.Annu Int Conf IEEE Eng Med Biol Soc2014
25333110Optimally stabilized PET image denoising using trilateral filtering.Med Image Comput Comput Assist Interv2014
25020069A generic approach to pathological lung segmentation.IEEE Trans Med Imaging2014
24579185Spatially constrained random walk approach for accurate estimation of airway wall surfaces.Med Image Comput Comput Assist Interv2013
20038264AccessScope project: Accessible light microscope for users with upper limb mobility or visual impairments.Disabil Rehabil Assist Technol2010
9042791Prevalence of Epstein-Barr viral sequences and EBV LMP1 oncogene deletions in Burkitt's lymphoma from Pakistan: epidemiological correlations.Hum Pathol1997
7799506Pattern of malignant bone tumour in northern areas of Pakistan.J Pak Med Assoc1994
8072129Non-Hodgkin's lymphomas with primary manifestation in gonads--a clinicopathological study.J Pak Med Assoc1994
8264092Burkitt's lymphoma--a study of 50 consecutive cases.J Pak Med Assoc1993
1433803Non-Hodgkin's lymphoma--clinicopathological pattern.J Pak Med Assoc1992
1527813Hodgkin's disease in children.J Trop Pediatr1992
1766068The pattern of malignant tumours in northern Pakistan.J Pak Med Assoc1991
1770560Toxoplasmic lymphadenitis--a clinicopathological study.J Pak Med Assoc1991
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Collaborators

Marius George Linguraru
George Washington University School of Medicine and Health Sciences
Co-authored papers 12
Gustavo Nino
Children's National Medical Center
Co-authored papers 5
Dorin Comaniciu
Siemens Healthineers
Co-authored papers 3
Rabia Idrees
The George Washington University
Co-authored papers 3
Robert A Avery
Children's Hospital of Philadelphia
Co-authored papers 3
Ramandeep Singh
Massachusetts General Hospital
Co-authored papers 2
Mannudeep K Kalra
Massachusetts General Hospital, Harvard Medical School
Co-authored papers 2
Subba R Digumarthy
Massachusetts General Hospital, USA Harvard Medical School
Co-authored papers 2
Roger J Packer
Brain Tumor Institute, Children's National Hospital
Co-authored papers 2
Maryalice Stetler-Stevenson
National Cancer Institute, National Institutes of Health
Co-authored papers 1
Shadi Ebrahimian
Massachusetts General Hospital and Harvard Medical School
Co-authored papers 1
Elaine S Jaffe
Center for Cancer Research, National Cancer Institute, National Institutes of Health
Co-authored papers 1
Taeun Chang
Co-authored papers 1
H Ishikawa
Mie University School of Medicine, NYU School of Medicine, New York Medical College, New York University School of Medicine, Oregon Health & Science University, Tufts University School of Medicine, University of Pittsburgh School of Medicine, University of Pittsburgh School of Mediine
Co-authored papers 1
Carmelina Trimboli-Heidler
The Gilbert Family Neurofibromatosis Institute
Co-authored papers 1
Fatemeh Homayounieh
Massachusetts General Hospital and the Harvard Medical School
Co-authored papers 1
Mark Raffeld
Center for Cancer Research, National Cancer Institute
Co-authored papers 1
Release 1.2