Awais Mansoor

Orcid: 0000-0001-6761-8030

According to our database1, Awais Mansoor authored at least 38 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge.
CoRR, 2023

2022
Self-supervised Learning from 100 Million Medical Images.
CoRR, 2022

2021
Quantifying and leveraging predictive uncertainty for medical image assessment.
Medical Image Anal., 2021

2020
Ultrasound-Based Phenotyping of Lateral Ventricles to Predict Hydrocephalus Outcome in Premature Neonates.
IEEE Trans. Biomed. Eng., 2020

A Generic Approach to Lung Field Segmentation From Chest Radiographs Using Deep Space and Shape Learning.
IEEE Trans. Biomed. Eng., 2020

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.
CoRR, 2020

2019
Communal Domain Learning for Registration in Drifted Image Spaces.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Cranial localization in 2D cranial ultrasound images using deep neural networks.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Automatic Segmentation of The Renal Collecting System in 3D Pediatric Ultrasound to Assess the Severity of Hydronephrosis.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Region Proposal Networks with Contextual Selective Attention for Real-Time Organ Detection.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Construction of a Spatiotemporal Statistical Shape Model of Pediatric Liver from Cross-Sectional Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic detection of kidney in 3D pediatric ultrasound images using deep neural networks.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Automatic kidney segmentation in 3D pediatric ultrasound images using deep neural networks and weighted fuzzy active shape model.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Adversarial approach to diagnostic quality volumetric image enhancement.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Automatic Segmentation of Neonatal Ventricles from Cranial Ultrasound for Prediction of Intraventricular Hemorrhage Outcome.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Marginal shape deep learning: applications to pediatric lung field segmentation.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

Joint deep shape and appearance learning: application to optic pathway glioma segmentation.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Cranial ultrasound-based prediction of post hemorrhagic hydrocephalus outcome in premature neonates with intraventricular hemorrhage.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation.
IEEE Trans. Medical Imaging, 2016

Spatial context learning approach to automatic segmentation of pleural effusion in chest computed tomography images.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Semi-automatic assessment of pediatric hydronephrosis severity in 3D ultrasound.
Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, California, United States, 27 February, 2016

Generic method for intensity standardization of medical images using multiscale curvelet representation.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Identification of dysmorphic syndromes using landmark-specific local texture descriptors.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

Automatic tissue characterization of air trapping in chest radiographs using deep neural networks.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Correction to "A Generic Approach to Pathological Lung Segmentation".
IEEE Trans. Medical Imaging, 2015

A Statistical Modeling Approach to Computer-Aided Quantification of Dental Biofilm.
IEEE J. Biomed. Health Informatics, 2015

A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT.
Medical Image Anal., 2015

Partitioned Shape Modeling with On-the-Fly Sparse Appearance Learning for Anterior Visual Pathway Segmentation.
Proceedings of the Clinical Image-Based Procedures. Translational Research in Medical Imaging, 2015

Severity quantification of pediatric viral respiratory illnesses in chest X-ray images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A Generic Approach to Pathological Lung Segmentation.
IEEE Trans. Medical Imaging, 2014

A review on segmentation of positron emission tomography images.
Comput. Biol. Medicine, 2014

Optimally Stabilized PET Image Denoising Using Trilateral Filtering.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

BiofilmQuant: A computer-assisted tool for dental biofilm quantification.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Near-optimal keypoint sampling for fast pathological lung segmentation.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2010
A low complexity speck-based codec for multispectral fluorescence microscopic images.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Compression of multispectral fluorescence microscopic images based on a modified set partitioning in hierarchal trees.
Proceedings of the Image Processing: Algorithms and Systems VII, 2009


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