Faisal M. Khan

Orcid: 0000-0002-5116-7471

According to our database1, Faisal M. Khan authored at least 30 papers between 2004 and 2022.

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Bibliography

2022
Accurate Step Count with Generalized and Personalized Deep Learning on Accelerometer Data.
Sensors, 2022

2021
TrialGraph: Machine Intelligence Enabled Insight from Graph Modelling of Clinical Trials.
CoRR, 2021

Analysis of Use and Outcomes of the Balance Digital Disease Management Tool for Patients with Type 2 Diabetes.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Accurate Step Count With Generalizable Deep Learning on Accelerometer Data.
Proceedings of the IEEE Intl Conf on Dependable, 2021

2020
Personalized Step Counting Using Wearable Sensors: A Domain Adapted LSTM Network Approach.
CoRR, 2020

Assessment of Objectively Measured Physical Activity as an Independent Estimator of Functional Status in Clinical Trials.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Uncovering Machine Learning-Ready Data from Public Clinical Trial Resources: A case-study on normalization across Aggregate Content of ClinicalTrials.gov.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2018
Comparing Immunofluorescent versus H&E Glandular Architecture Features in Prognostic Models from Prostate Biopsies.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Interval Kernels for Combining Biometric Measurements from Multiple Prostate Samples per Patient in Prognostic Models with Transductive Semi-Supervised Support Vector Regression.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2016
Pathological Gleason prediction through gland ring morphometry in immunofluorescent prostate cancer images.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

The role of imaging based prostate biopsy morphology in a data fusion paradigm for transducing prognostic predictions.
Proceedings of the Medical Imaging 2016: Digital Pathology, San Diego, California, United States, 27 February, 2016

Impact of prostate biopsy tumor amount on imaging based prognostics employing transductive semi-supervised regression.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

Predicting Advanced Prostate Cancer Endpoints from Early Indications via Transductive Semi-Supervised Regression.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

2015
Integration of co-localized glandular morphometry and protein biomarker expression in immunofluorescent images for prostate cancer prognosis.
Proceedings of the Medical Imaging 2015: Digital Pathology, 2015

Survival analysis via transduction for semi-supervised neural networks in medical prognosis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Gland Ring Morphometry for Prostate Cancer Prognosis in Multispectral Immunofluorescence Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

A Wearable Accelerometer System for Unobtrusive Monitoring of Parkinson's Diease Motor Symptoms.
Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

2012
Adaptive epithelial cytoplasm segmentation and epithelial unit separation in immunoflurorescent images.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Iterative approach to joint segmentation of cellular structures.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

2011
Medical Survival Analysis Through Transduction of Semi-Supervised Regression Targets.
Int. J. Knowl. Discov. Bioinform., 2011

Glandular object based tumor morphometry in H&E biopsy samples for prostate cancer prognosis.
Proceedings of the Medical Imaging 2011: Computer-Aided Diagnosis, 2011

Transduction of Semi-supervised Regression Targets in Survival Analysis for Medical Prognosis.
Proceedings of the Data Mining Workshops (ICDMW), 2011

2010
Improved automated localization and quantification of protein multiplexes via multispectral fluorescence imaging in heterogenous biopsy samples.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Aggregating Multiple Biological Measurements Per Patient.
Proceedings of the Ninth International Conference on Machine Learning and Applications, 2010

2009
Robust tumor morphometry in multispectral fluorescence microscopy.
Proceedings of the Medical Imaging 2009: Computer-Aided Diagnosis, 2009

2008
Automated localization and quantification of protein multiplexes via multispectral fluorescence imaging.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Support Vector Regression for Censored Data (SVRc): A Novel Tool for Survival Analysis.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2005
Posting Act Tagging Using Transformation-Based Learning.
Proceedings of the Foundations of Data Mining and knowledge Discovery, 2005

Hardware-based support vector machine classification in logarithmic number systems.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2005), 2005

2004
Finite Precision Analysis of Support Vector Machine Classification in Logarithmic Number Systems.
Proceedings of the 2004 Euromicro Symposium on Digital Systems Design (DSD 2004), Architectures, Methods and Tools, 31 August, 2004


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