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Faisal M. Khan

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2020 – today

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2022
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Long Luu, Arvind Pillai, Halsey Lea, Rubén Buendía, Faisal M. Khan, Glynn Dennis:
Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data. Sensors 22(11): 3989 (2022)
2021
[c25]
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Long Luu, Arvind Pillai, Halsey Lea, Rubén Buendía, Faisal M. Khan, Glynn Dennis:
Accurate Step Count With Generalizable Deep Learning on Accelerometer Data. DASC/PiCom/CBDCom/CyberSciTech 2021: 192-196
[c24]
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Rubén Buendía, Jesper Havsol, Viktor Lundberg, Kevin Sooben, Magnus Jörnten-Karlsson, Elisabeth Nyman, Faisal M. Khan, Glynn Dennis:
Analysis of Use and Outcomes of the Balance Digital Disease Management Tool for Patients with Type 2 Diabetes. EMBC 2021: 1372-1375
[i2]
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Christopher Yacoumatos, Stefano Bragaglia, Anshul Kanakia, Nils Svangård, Jonathan Mangion, Claire Donoghue, James Weatherall, Faisal M. Khan, Khader Shameer:
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials. CoRR abs/2112.08211 (2021)
2020
[c23]
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Emmette R. Hutchison, Youyi Zhang, Sreenath Nampally, James Weatherall, Faisal M. Khan, Khader Shameer:
Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov. BIBM 2020: 2965-2967
[c22]
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Rubén Buendía, Halsey Lea, Bo Zhang, Jesper Havsol, Faisal M. Khan, Henrik Sillén, Glynn Dennis:
Assessment of Objectively Measured Physical Activity as an Independent Estimator of Functional Status in Clinical Trials. EMBC 2020: 3936-3939
[i1]
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  - journals/corr/abs-2012-08975
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Arvind Pillai, Halsey Lea, Faisal M. Khan, Glynn Dennis:
Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach. CoRR abs/2012.08975 (2020)

2010 – 2019

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2018
[c21]
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Faisal M. Khan, Richard Scott, Michael J. Donovan, Gerardo Fernandez:
Comparing Immunofluorescent versus H&E Glandular Architecture Features in Prognostic Models from Prostate Biopsies. EMBC 2018: 838-841
[c20]
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Faisal M. Khan:
Interval Kernels for Combining Biometric Measurements from Multiple Prostate Samples per Patient in Prognostic Models with Transductive Semi-Supervised Support Vector Regression. EMBC 2018: 3967-3970
2016
[c19]
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Faisal M. Khan, Casimir A. Kulikowski:
Predicting Advanced Prostate Cancer Endpoints from Early Indications via Transductive Semi-Supervised Regression. CBMS 2016: 19-23
[c18]
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Faisal M. Khan, Casimir A. Kulikowski:
Impact of prostate biopsy tumor amount on imaging based prognostics employing transductive semi-supervised regression. EMBC 2016: 5604-5607
[c17]
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Richard Scott, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez:
Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer images. Medical Imaging: Digital Pathology 2016: 97910V
[c16]
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Faisal M. Khan, Casimir A. Kulikowski:
The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictions. Medical Imaging: Digital Pathology 2016: 979119
2015
[c15]
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Faisal M. Khan, Casimir A. Kulikowski:
Survival analysis via transduction for semi-supervised neural networks in medical prognosis. BIBM 2015: 433-437
[c14]
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Richard Scott, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez:
Integration of co-localized glandular morphometry and protein biomarker expression in immunofluorescent images for prostate cancer prognosis. Medical Imaging: Digital Pathology 2015: 94200E
2014
[c13]
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Faisal M. Khan, Michael Barnathan, Michael Montgomery, Stanely Myers, Lucien Cote, Sheree Loftus:
A Wearable Accelerometer System for Unobtrusive Monitoring of Parkinson's Diease Motor Symptoms. BIBE 2014: 120-125
[c12]
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Richard Scott, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez:
Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images. MICCAI (1) 2014: 585-592
2012
[c11]
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Peter O. Ajemba, Richard Scott, Janakiramanan Ramachandran, Qiuhua Liu, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez:
Iterative approach to joint segmentation of cellular structures. Medical Imaging: Image Processing 2012: 83140X
[c10]
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Janakiramanan Ramachandran, Richard Scott, Peter O. Ajemba, Hrishikesh Karvir, Faisal M. Khan, Jack Zeineh, Michael J. Donovan, Gerardo Fernandez:
Adaptive epithelial cytoplasm segmentation and epithelial unit separation in immunoflurorescent images. Medical Imaging: Image Processing 2012: 831427
2011
[j1]
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Faisal M. Khan, Qiuhua Liu:
Medical Survival Analysis Through Transduction of Semi-Supervised Regression Targets. Int. J. Knowl. Discov. Bioinform. 2(3): 52-65 (2011)
[c9]
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Faisal M. Khan, Qiuhua Liu:
Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis. ICDM Workshops 2011: 1018-1025
[c8]
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Stephen I. Fogarasi, Faisal M. Khan, Ho-Yuen Pang, Ricardo Mesa-Tejada, Michael J. Donovan, Gerardo Fernandez:
Glandular object based tumor morphometry in H&E biopsy samples for prostate cancer prognosis. Medical Imaging: Computer-Aided Diagnosis 2011: 79633F
2010
[c7]
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Valentina Bayer Zubek, Faisal M. Khan:
Aggregating Multiple Biological Measurements Per Patient. ICMLA 2010: 788-792
[c6]
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Marina Sapir, Faisal M. Khan, Yevgen Vengrenyuk, Gerardo Fernandez, Ricardo Mesa-Tejada, Stefan Hamman, Mikhail Teverovskiy, Michael J. Donovan:
Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples. ISBI 2010: 157-160

2000 – 2009

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2009
[c5]
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Ali Tabesh, Yevgen Vengrenyuk, Mikhail Teverovskiy, Faisal M. Khan, Marina Sapir, Douglas Powell, Ricardo Mesa-Tejada, Michael J. Donovan, Gerardo Fernandez:
Robust tumor morphometry in multispectral fluorescence microscopy. Medical Imaging: Computer-Aided Diagnosis 2009: 726015
2008
[c4]
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Faisal M. Khan, Valentina Bayer Zubek:
Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis. ICDM 2008: 863-868
[c3]
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Mikhail Teverovskiy, Yevgen Vengrenyuk, Ali Tabesh, Marina Sapir, Stephen Fogarasi, Ho-Yuen Pang, Faisal M. Khan, Stefan Hamann, Paola Capodieci, Mark Clayton, Robert Kim, Gerardo Fernandez, Ricardo Mesa-Tejada, Michael J. Donovan:
Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging. ISBI 2008: 300-303
2005
[c2]
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Faisal M. Khan, Mark G. Arnold, William M. Pottenger:
Hardware-based support vector machine classification in logarithmic number systems. ISCAS (5) 2005: 5154-5157
[p1]
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Tianhao Wu, Faisal M. Khan, Todd A. Fisher, Lori A. Shuler, William M. Pottenger:
Posting Act Tagging Using Transformation-Based Learning. Foundations of Data Mining and knowledge Discovery 2005: 319-331
2004
[c1]
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Faisal M. Khan, Mark G. Arnold, William M. Pottenger:
Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems. DSD 2004: 254-261

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