Masoom A. Haider
According to our database1,
Masoom A. Haider
authored at least 57 papers
between 2009 and 2021.
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Bibliography
2021
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks.
J. Digit. Imaging, 2021
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account.
Frontiers Artif. Intell., 2021
2020
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing.
Sensors, 2020
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma.
Frontiers Artif. Intell., 2020
BMC Medical Imaging, 2020
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
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
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
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
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
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
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
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
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
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
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
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
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
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
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