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Masoom A. Haider
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2020 – today
- 2021
- [j21]Khashayar Namdar, Masoom A. Haider, Farzad Khalvati:
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account. Frontiers Artif. Intell. 4: 582928 (2021) - [j20]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): 862-876 (2021) - 2020
- [j19]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): 11 (2020) - [j18]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: 550890 (2020) - [j17]Chris Dulhanty, Linda Wang, Maria Cheng, Hayden Gunraj
Radiomics Driven Diffusion Weighted Imaging Sensing Strategies for Zone-Level Prostate Cancer Sensing. Sensors 20(5): 1539 (2020) - [i15]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 abs/2006.01693 (2020) - [i14]Khashayar Namdar, Masoom A. Haider, Farzad Khalvati:
A Modified AUC for Training Convolutional Neural Networks: Taking Confidence into Account. CoRR abs/2006.04836 (2020)
2010 – 2019
- 2019
- [c26]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: 1095042 - [i13]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 abs/1905.09888 (2019) - [i12]Sunghwan Yoo, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati:
Prostate Cancer Detection using Deep Convolutional Neural Networks. CoRR abs/1905.13145 (2019) - [i11]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 abs/1906.10729 (2019) - [i10]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 abs/1907.04822 (2019) - [i9]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 abs/1909.09541 (2019) - [i8]Khashayar Namdar, Isha Gujrathi, Masoom A. Haider, Farzad Khalvati:
Evolution-based Fine-tuning of CNNs for Prostate Cancer Detection. CoRR abs/1911.01477 (2019) - 2018
- [j16]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): 16:1-16:14 (2018) - [i7]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 abs/1811.05817 (2018) - 2017
- [j15]Armin Eilaghi
CT texture features are associated with overall survival in pancreatic ductal adenocarcinoma - a quantitative analysis. BMC Medical Imaging 17(1): 38:1-38:7 (2017) - [c25]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: 45-53 - [c24]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: 54-62 - [c23]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: 97-104 - [c22]Junjie Zhang, Sameer Baig, Alexander Wong, Masoom A. Haider, Farzad Khalvati:
Segmentation of Prostate in Diffusion MR Images via Clustering. ICIAR 2017: 471-478 - [i6]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 abs/1705.03572 (2017) - 2016
- [j14]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: 51 (2016) - [j13]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): 254-263 (2016) - [j12]Andrew Cameron, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection. IEEE Trans. Biomed. Eng. 63(6): 1145-1156 (2016) - [j11]Ameneh Boroomand
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): 2587-2597 (2016) - [c21]Ameneh Boroomand, Edward Li, Mohammad Javad Shafiee, Masoom A. Haider, Farzad Khalvati, Alexander Wong:
A unified Bayesian-based compensated magnetic resonance imaging. EMBC 2016: 1192-1195 - [c20]Farzad Khalvati, Junjie Zhang, Masoom A. Haider, Alexander Wong:
Enhanced dual-stage correlated diffusion imaging. EMBC 2016: 5537-5540 - [c19]Farzad Khalvati, Junjie Zhang, Alexander Wong, Masoom A. Haider:
Bag of Bags: Nested Multi Instance Classification for Prostate Cancer Detection. ICMLA 2016: 146-151 - 2015
- [j10]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: 2531-2541 (2015) - [j9]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: 27 (2015) - [j8]Dorothy Lui, Amen Modhafar, Masoom A. Haider, Alexander Wong:
Monte Carlo-based noise compensation in coil intensity corrected endorectal MRI. BMC Medical Imaging 15: 43 (2015) - [j7]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): 1111-1124 (2015) - [c18]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: 368-376 - [c17]Alexander Wong, Farzad Khalvati, Masoom A. Haider:
Dual-stage correlated diffusion imaging. ISBI 2015: 75-78 - [c16]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: 1139-1142 - [i5]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 abs/1509.00111 (2015) - [i4]Devinder Kumar, Mohammad Javad Shafiee, Audrey G. Chung, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics for Computed Tomography Cancer Detection. CoRR abs/1509.00117 (2015) - [i3]Mohammad Javad Shafiee, Audrey G. Chung, Devinder Kumar, Farzad Khalvati, Masoom A. Haider, Alexander Wong:
Discovery Radiomics via StochasticNet Sequencers for Cancer Detection. CoRR abs/1511.03361 (2015) - [i2]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 abs/1512.04636 (2015) - [i1]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 abs/1512.07947 (2015) - 2014
- [j6]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): 368-380 (2014) - [c15]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: 3357-3360 - 2013
- [j5]Alexander Wong, Jeffrey Glaister, Andrew Cameron, Masoom A. Haider:
Correlated diffusion imaging. BMC Medical Imaging 13: 26 (2013) - [c14]Hatef Mehrabian
Using independent components analysis to calculate intravascular contrast agent concentration in prostate cancer. ISBI 2013: 966-969 - 2012
- [c13]Fernando Flores-Mangas, Allan D. Jepson, Masoom A. Haider:
Shape-Based Registration of Kidneys Across Differently Contrasted CT Scans. CRV 2012: 244-251 - [c12]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: 412-415 - [c11]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: 420-423 - 2011
- [j4]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: 410912:1-410912:11 (2011) - [c10]Muhammad Salman Haleem
A task-based approach to parametric imaging with dynamic contrast enhanced MRI. ISBI 2011: 746-749 - [c9]Yusuf Artan, Masoom A. Haider, Imam Samil Yetik
Graph-based active contours using shape priors for prostate segmentation with MRI. ISBI 2011: 1459-1462 - [c8]Lluis Canet Carbo, Masoom A. Haider, Imam Samil Yetik
Supervised prostate cancer segmentation with multispectral MRI incorporating location information. ISBI 2011: 1496-1499 - [c7]Xin Liu, Masoom A. Haider, Imam Samil Yetik
Automated prostate cancer localization with MRI without the need of manually extracted peripheral zone. ISBI 2011: 2099-2102 - 2010
- [j3]Andrew A. Goldenberg, John Trachtenberg, Yang Yi, Robert Weersink
Robot-assisted MRI-guided prostatic interventions. Robotica 28(2): 215-234 (2010) - [j2]Yusuf Artan, Masoom A. Haider, Deanna L. Langer, Theodorus H. van der Kwast
Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields. IEEE Trans. Image Process. 19(9): 2444-2455 (2010) - [c6]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: 644-647 - [c5]Yusuf Artan, Masoom A. Haider, Deanne L. Langei, Imam Samil Yetik
Semi-supervised prostate cancer segmentation with multispectral MRI. ISBI 2010: 648-651 - [c4]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: 1369-1372 - [c3]Yusuf Artan, Masoom A. Haider, Imam Samil Yetik
Prostate Cancer Segmentation Using Multispectral Random Walks. Prostate Cancer Imaging 2010: 15-24
2000 – 2009
- 2009
- [j1]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): 906-915 (2009) - [c2]Sedat Ozer, Masoom A. Haider, Deanna L. Langer, Theodorus H. van der Kwast
Prostate Cancer Localization with Multispectral MRI Based on Relevance Vector Machines. ISBI 2009: 73-76 - [c1]Yusuf Artan, Deanna L. Langer, Masoom A. Haider, Theodorus H. van der Kwast
Prostate Cancer Segmentation with Multispectral MRI Using Cost-Sensitive Conditional Random Fields. ISBI 2009: 278-281
Coauthor Index
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