Awais Mansoor, Ph.D.

Affiliations: 
Electrical and Computer Engineering Purdue University, West Lafayette, IN, United States 
Area:
auditory fMRI, cochlear implants, neurotrauma
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Thomas M. Talavage grad student 2012 Purdue
 (Statistical analysis and modeling of biological fluorescence images. Methods and applications.)
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Publications

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Mansoor A, Cerrolaza J, Perez G, et al. (2019) A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning. Ieee Transactions On Bio-Medical Engineering
Mansoor A, Cerrolaza JJ, Perez G, et al. (2017) Marginal Shape Deep Learning: Applications to Pediatric Lung Field Segmentation. Proceedings of Spie--the International Society For Optical Engineering. 10133
Mansoor A, Li I, Packer RJ, et al. (2017) Joint Deep Shape and Appearance Learning: Application to Optic Pathway Glioma Segmentation Proceedings of Spie. 10134
Mansoor A, Cerrolaza J, Idrees R, et al. (2016) Deep Learning Guided Partitioned Shape Model for Anterior Visual Pathway Segmentation. Ieee Transactions On Medical Imaging
Mansoor A, Casas R, Linguraru MG. (2016) Spatial context learning approach to automatic segmentation of pleural effusion in chest computed tomography images Proceedings of Spie. 9785: 978514
Mansoor A, Bagci U, Foster B, et al. (2015) Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends. Radiographics : a Review Publication of the Radiological Society of North America, Inc. 35: 1056-76
Xu Z, Bagci U, Foster B, et al. (2015) A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Analysis. 24: 1-17
Mansoor A, Bagci U, Xu Z, et al. (2015) Correction to "a generic approach to pathological lung segmentation". Ieee Transactions On Medical Imaging. 34: 354
Mansoor A, Bagci U, Xu Z, et al. (2014) A generic approach to pathological lung segmentation. Ieee Transactions On Medical Imaging. 33: 2293-310
Foster B, Bagci U, Mansoor A, et al. (2014) A review on segmentation of positron emission tomography images. Computers in Biology and Medicine. 50: 76-96
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