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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
, Farzad Khalvati
, Masoom A. Haider, Alexander Wong:
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
, 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): 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
, 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): 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
, Masoom A. Haider, Anne L. Martel
:
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
, Masoom A. Haider, Imam Samil Yetik
:
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
, Marshall S. Sussman, Masoom A. Haider, Liang Ma, Walter Kucharczyk:
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
, 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): 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
, Andrew J. Evans, Miles N. Wernick, John Trachtenberg, Imam Samil Yetik
:
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
, Andrew J. Evans, Miles N. Wernick, Imam Samil Yetik
:
Prostate Cancer Segmentation with Multispectral MRI Using Cost-Sensitive Conditional Random Fields. ISBI 2009: 278-281
Coauthor Index
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