Masoom A. Haider

Publication Activity (10 Years)

Years Active: 2009-2021
Publications (10 Years): 29

Top Topics

Diffusion Weighted

Diffusion Imaging

Conditional Random Fields

Convolutional Neural Networks

Top Venues

BMC Medical Imaging

Publications

Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks. J. Digit. Imaging 34 (4) (2021)
Khashayar Namdar, Masoom A. Haider, Farzad Khalvati
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account. Frontiers Artif. Intell. 4 (2021)
Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks. CoRR (2020)
Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors 20 (5) (2020)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
CNN-based survival model for pancreatic ductal adenocarcinoma in medical imaging. BMC Medical Imaging 20 (1) (2020)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Prognostic Value of Transfer Learning Based Features in Resectable Pancreatic Ductal Adenocarcinoma. Frontiers Artif. Intell. 3 (2020)
Khashayar Namdar, Masoom A. Haider, Farzad Khalvati
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. CoRR (2020)
Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati
Prostate Cancer Detection using Deep Convolutional Neural Networks. CoRR (2019)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
CNN-based Survival Model for Pancreatic Ductal Adenocarcinoma in Medical Imaging. CoRR (2019)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Improving Prognostic Value of CT Deep Radiomic Features in Pancreatic Ductal Adenocarcinoma Using Transfer Learning. CoRR (2019)
Saman Motamed, Isha Gujrathi, Dominik Deniffel, Anton Oentoro, Masoom A. Haider, Farzad Khalvati
A Transfer Learning Approach for Automated Segmentation of Prostate Whole Gland and Transition Zone in Diffusion Weighted MRI. CoRR (2019)
Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. CoRR (2019)
Farzad Khalvati, Yucheng Zhang, Phuong H. U. Le, Isha Gujrathi, Masoom A. Haider
PI-RADS guided discovery radiomics for characterization of prostate lesions with diffusion-weighted MRI. Medical Imaging: Computer-Aided Diagnosis (2019)
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati
Improving Prognostic Performance in Resectable Pancreatic Ductal Adenocarcinoma using Radiomics and Deep Learning Features Fusion in CT Images. CoRR (2019)
Farzad Khalvati, Junjie Zhang, Audrey G. Chung, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection. BMC Medical Imaging 18 (1) (2018)
Xiaodan Hu, Audrey G. Chung, Paul W. Fieguth, Farzad Khalvati, Masoom A. Haider, Alexander Wong
ProstateGAN: Mitigating Data Bias via Prostate Diffusion Imaging Synthesis with Generative Adversarial Networks. CoRR (2018)
Devinder Kumar, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction. ICIAR (2017)
Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via Evolutionary Deep Radiomic Sequencer Discovery for Pathologically-Proven Lung Cancer Detection. CoRR (2017)
Amir-Hossein Karimi, Audrey G. Chung, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Ali Ghodsi, Alexander Wong
Discovery Radiomics via a Mixture of Deep ConvNet Sequencers for Multi-parametric MRI Prostate Cancer Classification. ICIAR (2017)
Armin Eilaghi, Sameer Baig, Yucheng Zhang, Junjie Zhang, Paul Karanicolas, Steven Gallinger, Farzad Khalvati, Masoom A. Haider
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis. BMC Medical Imaging 17 (1) (2017)
Junjie Zhang, Sameer Baig, Alexander Wong, Masoom A. Haider, Farzad Khalvati
Segmentation of Prostate in Diffusion MR Images via Clustering. ICIAR (2017)
Tyler Clark, Alexander Wong, Masoom A. Haider, Farzad Khalvati
Fully Deep Convolutional Neural Networks for Segmentation of the Prostate Gland in Diffusion-Weighted MR Images. ICIAR (2017)
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Sparse reconstruction of compressive sensing MRI using cross-domain stochastically fully connected conditional random fields. BMC Medical Imaging 16 (2016)
Andrew Cameron, Farzad Khalvati, Masoom A. Haider, Alexander Wong
MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection. IEEE Trans. Biomed. Eng. 63 (6) (2016)
Farzad Khalvati, Aryan Salmanpour, Shahryar Rahnamayan, Masoom A. Haider, Hamid R. Tizhoosh
Sequential Registration-Based Segmentation of the Prostate Gland in MR Image Volumes. J. Digit. Imaging 29 (2) (2016)
Farzad Khalvati, Junjie Zhang, Masoom A. Haider, Alexander Wong
Enhanced dual-stage correlated diffusion imaging. EMBC (2016)
Farzad Khalvati, Junjie Zhang, Alexander Wong, Masoom A. Haider
Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. ICMLA (2016)
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. IEEE Trans. Medical Imaging 35 (12) (2016)
Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong
A unified Bayesian-based compensated magnetic resonance imaging. EMBC (2016)
Farzad Khalvati, Alexander Wong, Masoom A. Haider
Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Medical Imaging 15 (2015)
Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR (2015)
Shahid A. Haider, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Anastasia Oikonomou, Alexander Wong, Masoom A. Haider
Single-click, semi-automatic lung nodule contouring using hierarchical conditional random fields. ISBI (2015)
Audrey G. Chung, Christian Scharfenberger, Farzad Khalvati, Alexander Wong, Masoom A. Haider
Statistical Textural Distinctiveness in Multi-Parametric Prostate MRI for Suspicious Region Detection. ICIAR (2015)
Edward Li, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Sparse Reconstruction of Compressive Sensing MRI using Cross-Domain Stochastically Fully Connected Conditional Random Fields. CoRR (2015)
Dorothy Lui, Amen Modhafar, Masoom A. Haider, Alexander Wong
Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI. BMC Medical Imaging 15 (2015)
Mohammad Javad Shafiee, Shahid A. Haider, Alexander Wong, Dorothy Lui, Andrew Cameron, Ameen Modhafar, Paul W. Fieguth, Masoom A. Haider
Apparent Ultra-High b-Value Diffusion-Weighted Image Reconstruction via Hidden Conditional Random Fields. IEEE Trans. Medical Imaging 34 (5) (2015)
Alexander Wong, Farzad Khalvati, Masoom A. Haider
Dual-stage correlated diffusion imaging. ISBI (2015)
Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR (2015)
Audrey G. Chung, Farzad Khalvati, Mohammad Javad Shafiee, Masoom A. Haider, Alexander Wong
Prostate Cancer Detection via a Quantitative Radiomics-Driven Conditional Random Field Framework. IEEE Access 3 (2015)
Audrey G. Chung, Mohammad Javad Shafiee, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Discovery Radiomics for Multi-Parametric MRI Prostate Cancer Detection. CoRR (2015)
Ameneh Boroomand, Mohammad Javad Shafiee, Farzad Khalvati, Masoom A. Haider, Alexander Wong
Noise-Compensated, Bias-Corrected Diffusion Weighted Endorectal Magnetic Resonance Imaging via a Stochastically Fully-Connected Joint Conditional Random Field Model. CoRR (2015)
Andrew Cameron, Amen Modhafar, Farzad Khalvati, Dorothy Lui, Mohammad Javad Shafiee, Alexander Wong, Masoom A. Haider
Multiparametric MRI prostate cancer analysis via a hybrid morphological-textural model. EMBC (2014)
Dorothy Lui, Amen Modhafar, Jeffrey Glaister, Alexander Wong, Masoom A. Haider
Monte Carlo Bias Field Correction in Endorectal Diffusion Imaging. IEEE Trans. Biomed. Eng. 61 (2) (2014)
Alexander Wong, Jeffrey Glaister, Andrew Cameron, Masoom A. Haider
Correlated diffusion imaging. BMC Medical Imaging 13 (2013)
Hatef Mehrabian, Masoom A. Haider, Anne L. Martel
Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer. ISBI (2013)
Jeffrey Glaister, Andrew Cameron, Alexander Wong, Masoom A. Haider
Quantitative investigative analysis of tumour separability in the prostate gland using ultra-high b-value computed diffusion imaging. EMBC (2012)
Andrew Cameron, Jeffrey Glaister, Alexander Wong, Masoom A. Haider
Non-parametric Bayesian estimation of apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging data. EMBC (2012)
Fernando Flores-Mangas, Allan D. Jepson, Masoom A. Haider
Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans. CRV (2012)
Lluis Canet Carbo, Masoom A. Haider, Imam Samil Yetik
Supervised prostate cancer segmentation with multispectral MRI incorporating location information. ISBI (2011)
Muhammad Salman Haleem, Masoom A. Haider, Imam Samil Yetik
A task-based approach to parametric imaging with dynamic contrast enhanced MRI. ISBI (2011)
Xin Liu, Masoom A. Haider, Imam Samil Yetik
Automated prostate cancer localization with MRI without the need of manually extracted peripheral zone. ISBI (2011)
Xin Liu, Masoom A. Haider, Imam Samil Yetik
Unsupervised 3D Prostate Segmentation Based on Diffusion-Weighted Imaging MRI Using Active Contour Models with a Shape Prior. J. Electr. Comput. Eng. 2011 (2011)
Yusuf Artan, Masoom A. Haider, Imam Samil Yetik
Graph-based active contours using shape priors for prostate segmentation with MRI. ISBI (2011)
Xin Liu, Masoom A. Haider, Deanna L. Langer, Imam Samil Yetik
Using relative contrast and iterative normalization for improved prostate cancer localization with multispectral MRI. ISBI (2010)
Yusuf Artan, Masoom A. Haider, Deanne L. Langei, Imam Samil Yetik
Semi-supervised prostate cancer segmentation with multispectral MRI. ISBI (2010)
Andrew A. Goldenberg, John Trachtenberg, Yang Yi, Robert Weersink, Marshall S. Sussman, Masoom A. Haider, Liang Ma, Walter Kucharczyk
Robot-assisted MRI-guided prostatic interventions. Robotica 28 (2) (2010)
Liu Lukai, Masoom A. Haider, Deanna L. Langer, Imam Samil Yetik
Improved prostate cancer localization with spatially regularized dynamic contrast -enhanced magnetic resonance imaging. ISBI (2010)
Yusuf Artan, Masoom A. Haider, Imam Samil Yetik
Prostate Cancer Segmentation Using Multispectral Random Walks. Prostate Cancer Imaging (2010)
Yusuf Artan, Masoom A. Haider, Deanna L. Langer, Theodorus H. van der Kwast, Andrew J. Evans, Yongyi Yang, Miles N. Wernick, John Trachtenberg, Imam Samil Yetik
Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields. IEEE Trans. Image Process. 19 (9) (2010)
Sedat Ozer, Masoom A. Haider, Deanna L. Langer, Theodorus H. van der Kwast, Andrew J. Evans, Miles N. Wernick, John Trachtenberg, Imam Samil Yetik
Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines. ISBI (2009)
Yusuf Artan, Deanna L. Langer, Masoom A. Haider, Theodorus H. van der Kwast, Andrew J. Evans, Miles N. Wernick, Imam Samil Yetik
Prostate Cancer Segmentation with Multispectral MRI Using Cost-Sensitive Conditional Random Fields. ISBI (2009)
Xin Liu, Deanna L. Langer, Masoom A. Haider, Yongyi Yang, Miles N. Wernick, Imam Samil Yetik
Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class. IEEE Trans. Medical Imaging 28 (6) (2009)