Masoom A. Haider

According to our database1, Masoom A. Haider authored at least 56 papers between 2009 and 2020.

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Bibliography

2020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.
Sensors, 2020

A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account.
CoRR, 2020

A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks.
CoRR, 2020

CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging.
BMC Medical Imaging, 2020

2019
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection.
CoRR, 2019

A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI.
CoRR, 2019

Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images.
CoRR, 2019

Prostate Cancer Detection using Deep Convolutional Neural Networks.
CoRR, 2019

Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning.
CoRR, 2019

PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

2018
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks.
CoRR, 2018

MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection.
BMC Medical Imaging, 2018

2017
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection.
CoRR, 2017

CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis.
BMC Medical Imaging, 2017

Segmentation of Prostate in Diffusion MR Images via Clustering.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images.
Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2016
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model.
IEEE Trans. Medical Imaging, 2016

MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection.
IEEE Trans. Biomed. Eng., 2016

Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes.
J. Digit. Imaging, 2016

Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields.
BMC Medical Imaging, 2016

Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection.
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016

Enhanced dual-stage correlated diffusion imaging.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A unified Bayesian-based compensated magnetic resonance imaging.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields.
IEEE Trans. Medical Imaging, 2015

Discovery Radiomics via StochasticNet Sequencers for Cancer Detection.
CoRR, 2015

Discovery Radiomics for Computed Tomography Cancer Detection.
CoRR, 2015

Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection.
CoRR, 2015

Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI.
BMC Medical Imaging, 2015

Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.
BMC Medical Imaging, 2015

Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework.
IEEE Access, 2015

Dual-stage correlated diffusion imaging.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection.
Proceedings of the Image Analysis and Recognition - 12th International Conference, 2015

2014
Monte Carlo Bias Field Correction in Endorectal Diffusion Imaging.
IEEE Trans. Biomed. Eng., 2014

Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Correlated diffusion imaging.
BMC Medical Imaging, 2013

Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans.
Proceedings of the Ninth Conference on Computer and Robot Vision, 2012

2011
Unsupervised 3D Prostate Segmentation Based on Diffusion-Weighted Imaging MRI Using Active Contour Models with a Shape Prior.
J. Electr. Comput. Eng., 2011

Automated prostate cancer localization with MRI without the need of manually extracted peripheral zone.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

A task-based approach to parametric imaging with dynamic contrast enhanced MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Supervised prostate cancer segmentation with multispectral MRI incorporating location information.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Graph-based active contours using shape priors for prostate segmentation with MRI.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields.
IEEE Trans. Image Process., 2010

Robot-assisted MRI-guided prostatic interventions.
Robotica, 2010

Prostate Cancer Segmentation Using Multispectral Random Walks.
Proceedings of the Prostate Cancer Imaging. Computer-Aided Diagnosis, 2010

Improved prostate cancer localization with spatially regularized dynamic contrast -enhanced magnetic resonance imaging.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Using relative contrast and iterative normalization for improved prostate cancer localization with multispectral MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Semi-supervised prostate cancer segmentation with multispectral MRI.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009
Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class.
IEEE Trans. Medical Imaging, 2009

Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Prostate Cancer Segmentation with Multispectral MRI Using Cost-Sensitive Conditional Random Fields.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009


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