Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems. - Faisal M. Khan; Mark G. Arnold; William M. Pottenger (DSD, 2004)

Hardware-based support vector machine classification in logarithmic number systems. - Faisal M. Khan; Mark G. Arnold; William M. Pottenger (ISCAS (5), 2005)

Posting Act Tagging Using Transformation-Based Learning. - Tianhao Wu 004; Faisal M. Khan; Todd A. Fisher; Lori A. Shuler; William M. Pottenger (Foundations of Data Mining and knowledge Discovery, 2005)

Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis. - Faisal M. Khan; Valentina Bayer Zubek (ICDM, 2008)

Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging. - 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; et al. (ISBI, 2008)

Robust tumor morphometry in multispectral fluorescence microscopy. - Ali Tabesh; Yevgen Vengrenyuk; Mikhail Teverovskiy; Faisal M. Khan; Marina Sapir; Douglas Powell; Ricardo Mesa-Tejada; Michael J. Donovan; Gerardo Fernandez (Computer-Aided Diagnosis, 2009)

Aggregating Multiple Biological Measurements Per Patient. - Valentina Bayer Zubek; Faisal M. Khan (ICMLA, 2010)

Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples. - Marina Sapir; Faisal M. Khan; Yevgen Vengrenyuk; Gerardo Fernandez; Ricardo Mesa-Tejada; Stefan Hamman; Mikhail Teverovskiy; Michael J. Donovan (ISBI, 2010)

Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis. - Faisal M. Khan; Qiuhua Liu (ICDM Workshops, 2011)

Glandular object based tumor morphometry in H&E biopsy samples for prostate cancer prognosis. - Stephen I. Fogarasi; Faisal M. Khan; Ho-Yuen Pang; Ricardo Mesa-Tejada; Michael J. Donovan; Gerardo Fernandez (Computer-Aided Diagnosis, 2011)

Medical Survival Analysis Through Transduction of Semi-Supervised Regression Targets. - Faisal M. Khan; Qiuhua Liu (Int. J. Knowl. Discov. Bioinform., 2011)

Iterative approach to joint segmentation of cellular structures. - Peter O. Ajemba; Richard Scott; Janakiramanan Ramachandran; Qiuhua Liu; Faisal M. Khan; Jack Zeineh; Michael J. Donovan; Gerardo Fernandez (Image Processing, 2012)

Adaptive epithelial cytoplasm segmentation and epithelial unit separation in immunoflurorescent images. - Janakiramanan Ramachandran; Richard Scott; Peter O. Ajemba; Hrishikesh Karvir; Faisal M. Khan; Jack Zeineh; Michael J. Donovan; Gerardo Fernandez (Image Processing, 2012)

A Wearable Accelerometer System for Unobtrusive Monitoring of Parkinson's Diease Motor Symptoms. - Faisal M. Khan; Michael Barnathan; Michael Montgomery; Stanely Myers; Lucien Cote; Sheree Loftus (BIBE, 2014)

Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images. - Richard Scott; Faisal M. Khan; Jack Zeineh; Michael J. Donovan; Gerardo Fernandez (MICCAI (1), 2014)

Survival analysis via transduction for semi-supervised neural networks in medical prognosis. - Faisal M. Khan; Casimir A. Kulikowski (BIBM, 2015)

Integration of co-localized glandular morphometry and protein biomarker expression in immunofluorescent images for prostate cancer prognosis. - Richard Scott; Faisal M. Khan; Jack Zeineh; Michael J. Donovan; Gerardo Fernandez (Digital Pathology, 2015)

Predicting Advanced Prostate Cancer Endpoints from Early Indications via Transductive Semi-Supervised Regression. - Faisal M. Khan; Casimir A. Kulikowski (CBMS, 2016)

Impact of prostate biopsy tumor amount on imaging based prognostics employing transductive semi-supervised regression. - Faisal M. Khan; Casimir A. Kulikowski (EMBC, 2016)

The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictions. - Faisal M. Khan; Casimir A. Kulikowski (Digital Pathology, 2016)

Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer images. - Richard Scott; Faisal M. Khan; Jack Zeineh; Michael J. Donovan; Gerardo Fernandez (Digital Pathology, 2016)

Interval Kernels for Combining Biometric Measurements from Multiple Prostate Samples per Patient in Prognostic Models with Transductive Semi-Supervised Support Vector Regression. - Faisal M. Khan (EMBC, 2018)

Comparing Immunofluorescent versus H&E Glandular Architecture Features in Prognostic Models from Prostate Biopsies. - Faisal M. Khan; Richard Scott; Michael J. Donovan; Gerardo Fernandez (EMBC, 2018)

Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov. - Emmette R. Hutchison; Youyi Zhang; Sreenath Nampally; James Weatherall; Faisal M. Khan; Khader Shameer (BIBM, 2020)

Assessment of Objectively Measured Physical Activity as an Independent Estimator of Functional Status in Clinical Trials. - Rubén Buendía; Halsey Lea; Bo Zhang; Jesper Havsol; Faisal M. Khan; Henrik Sillén; Glynn Dennis (EMBC, 2020)

Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach. - Arvind Pillai; Halsey Lea; Faisal M. Khan; Glynn Dennis (CoRR, 2020)

Accurate Step Count With Generalizable Deep Learning on Accelerometer Data. - Long Luu; Arvind Pillai; Halsey Lea; Rubén Buendía; Faisal M. Khan; Glynn Dennis (DASC/PiCom/CBDCom/CyberSciTech, 2021)

Analysis of Use and Outcomes of the Balance Digital Disease Management Tool for Patients with Type 2 Diabetes. - Rubén Buendía; Jesper Havsol; Viktor Lundberg; Kevin Sooben; Magnus Jörnten-Karlsson; Elisabeth Nyman; Faisal M. Khan; Glynn Dennis (EMBC, 2021)

TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials. - Christopher Yacoumatos; Stefano Bragaglia; Anshul Kanakia; Nils Svangård; Jonathan Mangion; Claire Donoghue; James Weatherall; Faisal M. Khan; Khader Shameer (CoRR, 2021)

Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data. - Long Luu; Arvind Pillai; Halsey Lea; Rubén Buendía; Faisal M. Khan; Glynn Dennis (Sensors, 2022)