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Journal Articles
- 2024
[j58]Hossein Arabi, Habib Zaidi
:
Single annotator versus multi-annotator: Challenge of segmenting two neighboring hippocampus head and body with high precision. Biomed. Signal Process. Control. 97: 106667 (2024)- [j57]Imene Mecheter, Maysam Abbod, Habib Zaidi, Abbes Amira:
Transfer learning from T1-weighted to T2-weighted Magnetic resonance sequences for brain image segmentation. CAAI Trans. Intell. Technol. 9(1): 26-39 (2024) - [j56]Chang Sun, Yazdan Salimi, Neroladaki Angeliki, Sana Boudabbous, Habib Zaidi:
An efficient dual-domain deep learning network for sparse-view CT reconstruction. Comput. Methods Programs Biomed. 256: 108376 (2024) - [j55]Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi:
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study. Int. J. Imaging Syst. Technol. 34(2) (2024) - [j54]Isaac Shiri, Behrooz Razeghi, Sohrab Ferdowsi, Yazdan Salimi, Deniz Gündüz, Douglas Teodoro, Slava Voloshynovskiy, Habib Zaidi:
PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. J. Biomed. Informatics 150: 104583 (2024) - [j53]Ghasem Hajianfar, Seyyed Ali Hosseini, Sara Bagherieh, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi:
Impact of harmonization on the reproducibility of MRI radiomic features when using different scanners, acquisition parameters, and image pre-processing techniques: a phantom study. Medical Biol. Eng. Comput. 62(8): 2319-2332 (2024) - 2023
- [j52]Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, Peter Boor, Deniz Gündüz, Slava Voloshynovskiy, Habib Zaidi:
Multi-institutional PET/CT image segmentation using federated deep transformer learning. Comput. Methods Programs Biomed. 240: 107706 (2023) - [j51]Maziar Sabouri, Ghasem Hajianfar, Zahra Hosseini, Mehdi Amini, Mobin Mohebi, Tahereh Ghaedian, Shabnam Madadi, Fereydoon Rastgou, Mehrdad Oveisi, Ahmad Bitarafan-rajabi, Isaac Shiri, Habib Zaidi:
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition. J. Digit. Imaging 36(2): 497-509 (2023) - [j50]Mobin Mohebi, Mehdi Amini, Mohammad Javad Alemzadeh-Ansari, Azin Alizadehasl, Ahmad Bitarafan-rajabi, Isaac Shiri, Habib Zaidi, Mahdi Orooji:
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study. J. Digit. Imaging 36(4): 1348-1363 (2023) - [j49]Haniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, Mozhgan Parsaee, Golnaz Houshmand, Ahmad Bitarafan-rajabi, Habib Zaidi, Isaac Shiri:
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms. J. Digit. Imaging 36(6): 2494-2506 (2023) - 2022
- [j48]Imene Mecheter, Maysam Abbod, Abbes Amira, Habib Zaidi:
Deep learning with multiresolution handcrafted features for brain MRI segmentation. Artif. Intell. Medicine 131: 102365 (2022) - [j47]Elham Avard, Isaac Shiri, Ghasem Hajianfar, Hamid Abdollahi, Kiara Rezaei-Kalantari, Golnaz Houshmand, Kianosh Kasani, Ahmad Bitarafan-rajabi, Mohammad Reza Deevband, Mehrdad Oveisi, Habib Zaidi:
Non-contrast Cine Cardiac Magnetic Resonance image radiomics features and machine learning algorithms for myocardial infarction detection. Comput. Biol. Medicine 141: 105145 (2022) - [j46]Isaac Shiri, Mehdi Amini, Mostafa Nazari, Ghasem Hajianfar, Atlas Haddadi Avval, Hamid Abdollahi, Mehrdad Oveisi, Hossein Arabi, Arman Rahmim, Habib Zaidi:
Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images. Comput. Biol. Medicine 142: 105230 (2022) - [j45]Amir Jabbarpour, Seied Rabi Mahdavi, Alireza Vafaei Sadr, Golbarg Esmaili, Isaac Shiri, Habib Zaidi:
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy. Comput. Biol. Medicine 143: 105277 (2022) - [j44]Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Shayan Mostafaei, Azadeh Akhavanallaf, Abdollah Saberi, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Bardia Khosravi, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Arash Teimouri, Fatemeh Movaseghi, Azin Ahmari, Neda Goharpey, Rama Bozorgmehr, Hesamaddin Shirzad-Aski, Roozbeh Mortazavi, Jalal Karimi, Nazanin Mortazavi, Sima Besharat, Mandana Afsharpad, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi:
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14, 339 patients. Comput. Biol. Medicine 145: 105467 (2022) - [j43]Pegah Moradi Khaniabadi, Yassine Bouchareb, Humoud Al Dhuhli, Isaac Shiri, Faiza Al Kindi, Bita Moradi Khaniabadi, Habib Zaidi, Arman Rahmim:
Two-step machine learning to diagnose and predict involvement of lungs in COVID-19 and pneumonia using CT radiomics. Comput. Biol. Medicine 150: 106165 (2022) - [j42]Imene Mecheter, Maysam Abbod, Habib Zaidi, Abbes Amira:
Brain MR images segmentation using 3D CNN with features recalibration mechanism for segmented CT generation. Neurocomputing 491: 232-243 (2022) - [j41]Isaac Shiri, Hossein Arabi, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Ghasem Hajianfar, Dariush Askari, Shakiba Moradi, Zahra Mansouri, Masoumeh Pakbin, Saleh Sandoughdaran, Hamid Abdollahi, Amir Reza Radmard, Kiara Rezaei-Kalantari, Mostafa Ghelich Oghli, Habib Zaidi:
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. Int. J. Imaging Syst. Technol. 32(1): 12-25 (2022) - [j40]Samaneh Mostafapour, Faeze Gholamiankhah, Sirwan Maroufpour, Mehdi Momennezhad, Mohsen Asadinezhad, Seyed Rasoul Zakavi, Hossein Arabi, Habib Zaidi:
Deep learning-guided attenuation correction in the image domain for myocardial perfusion SPECT imaging. J. Comput. Des. Eng. 9(2): 434-447 (2022) - [j39]Amirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, Hossein Arabi, Habib Zaidi:
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness. J. Digit. Imaging 35(3): 469-481 (2022) - [j38]Fatemeh Arian, Mehdi Amini, Shayan Mostafaei, Kiara Rezaei-Kalantari, Atlas Haddadi Avval, Zahra Shahbazi, Kianosh Kasani, Ahmad Bitarafan-rajabi, Saikat Chatterjee, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi:
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms. J. Digit. Imaging 35(6): 1708-1718 (2022) - 2021
- [j37]Yongbo Wang, Gaofeng Chen, Tao Xi, Zhaoying Bian, Dong Zeng, Habib Zaidi, Ji He, Jianhua Ma:
Helical CT Reconstruction From Sparse-View Data Through Exploiting the 3D Anatomical Structure Sparsity. IEEE Access 9: 15200-15211 (2021) - [j36]Mostafa Nazari, Isaac Shiri, Habib Zaidi:
Radiomics-based machine learning model to predict risk of death within 5-years in clear cell renal cell carcinoma patients. Comput. Biol. Medicine 129: 104135 (2021) - [j35]Isaac Shiri, Majid Sorouri, Parham Geramifar, Mostafa Nazari, Mohammad Abdollahi, Yazdan Salimi, Bardia Khosravi, Dariush Askari, Leila Aghaghazvini, Ghasem Hajianfar, Amir Kasaeian, Hamid Abdollahi, Hossein Arabi, Arman Rahmim, Amir Reza Radmard, Habib Zaidi:
Machine learning-based prognostic modeling using clinical data and quantitative radiomic features from chest CT images in COVID-19 patients. Comput. Biol. Medicine 132: 104304 (2021) - [j34]Yassine Bouchareb, Pegah Moradi Khaniabadi, Faiza Al Kindi, Humoud Al Dhuhli, Isaac Shiri, Habib Zaidi, Arman Rahmim:
Artificial intelligence-driven assessment of radiological images for COVID-19. Comput. Biol. Medicine 136: 104665 (2021) - [j33]Zahra Khodabakhshi, Shayan Mostafaei, Hossein Arabi, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi:
Non-small cell lung carcinoma histopathological subtype phenotyping using high-dimensional multinomial multiclass CT radiomics signature. Comput. Biol. Medicine 136: 104752 (2021) - [j32]Azadeh Akhavanallaf, Reza Mohammadi, Isaac Shiri, Yazdan Salimi, Hossein Arabi, Habib Zaidi:
Personalized brachytherapy dose reconstruction using deep learning. Comput. Biol. Medicine 136: 104755 (2021) - [j31]Mahsa Amirrashedi, Saeed Sarkar, Hojjat Mamizadeh, Hossein Ghadiri, Pardis Ghafarian, Habib Zaidi, Mohammad Reza Ay:
Leveraging deep neural networks to improve numerical and perceptual image quality in low-dose preclinical PET imaging. Comput. Medical Imaging Graph. 94: 102010 (2021) - [j30]Zahra Khodabakhshi, Mehdi Amini, Shayan Mostafaei, Atlas Haddadi Avval, Mostafa Nazari, Mehrdad Oveisi, Isaac Shiri, Habib Zaidi:
Overall Survival Prediction in Renal Cell Carcinoma Patients Using Computed Tomography Radiomic and Clinical Information. J. Digit. Imaging 34(5): 1086-1098 (2021) - [j29]Amirhossein Sanaat, Hossein Shooli, Sohrab Ferdowsi, Isaac Shiri, Hossein Arabi, Habib Zaidi:
DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. NeuroImage 245: 118697 (2021) - 2020
- [j28]Hossein Arabi, Habib Zaidi:
Deep learning-guided estimation of attenuation correction factors from time-of-flight PET emission data. Medical Image Anal. 64: 101718 (2020) - 2017
- [j27]Nicolas A. Karakatsanis, Charalampos Tsoumpas, Habib Zaidi:
Quantitative PET image reconstruction employing nested expectation-maximization deconvolution for motion compensation. Comput. Medical Imaging Graph. 60: 11-21 (2017) - [j26]Hossein Arabi, Habib Zaidi:
Comparison of atlas-based techniques for whole-body bone segmentation. Medical Image Anal. 36: 98-112 (2017) - [j25]Abolfazl Mehranian, Habib Zaidi, Andrew J. Reader:
MR-guided joint reconstruction of activity and attenuation in brain PET-MR. NeuroImage 162: 276-288 (2017) - 2016
- [j24]Hossein Arabi, Habib Zaidi:
Magnetic resonance imaging-guided attenuation correction in whole-body PET/MRI using a sorted atlas approach. Medical Image Anal. 31: 1-15 (2016) - [j23]Abolfazl Mehranian, Hossein Arabi, Habib Zaidi:
Quantitative analysis of MRI-guided attenuation correction techniques in time-of-flight brain PET/MRI. NeuroImage 130: 123-133 (2016) - [j22]Habib Zaidi, Minerva Becker:
The Promise of Hybrid PET\/MRI: Technical advances and clinical applications. IEEE Signal Process. Mag. 33(3): 67-85 (2016) - 2015
- [j21]Abolfazl Mehranian, Habib Zaidi:
Joint Estimation of Activity and Attenuation in Whole-Body TOF PET/MRI Using Constrained Gaussian Mixture Models. IEEE Trans. Medical Imaging 34(9): 1808-1821 (2015) - 2014
- [j20]Fotis A. Kotasidis, Charalampos Tsoumpas, Irene Polycarpou, Habib Zaidi:
A 5D computational phantom for pharmacokinetic simulation studies in dynamic emission tomography. Comput. Medical Imaging Graph. 38(8): 764-773 (2014) - 2013
- [j19]Abolfazl Mehranian, Mohammad Reza Ay, Arman Rahmim, Habib Zaidi:
X-ray CT Metal Artifact Reduction Using Wavelet Domain $L_{0}$ Sparse Regularization. IEEE Trans. Medical Imaging 32(9): 1707-1722 (2013) - 2012
- [j18]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Artificial Neural Network-Statistical Approach for PET Volume Analysis and Classification. Adv. Fuzzy Syst. 2012: 327861:1-327861:10 (2012) - [j17]Daniel Gutierrez, Marie-Louise Montandon, Frédéric Assal, Mohamed Allaoua, Osman Ratib, Karl-Olof Lövblad, Habib Zaidi:
Anatomically guided voxel-based partial volume effect correction in brain PET: Impact of MRI segmentation. Comput. Medical Imaging Graph. 36(8): 610-619 (2012) - [j16]Tony Shepherd, Mika Teräs, Reinhard Beichel, Ronald Boellaard, Michel Bruynooghe, Volker Dicken, Mark J. Gooding, Peter J. Julyan, John Aldo Lee, Sébastien Lefèvre, Michael Mix, Valery Naranjo, Xiaodong Wu, Habib Zaidi, Ziming Zeng, Heikki Minn:
Comparative Study With New Accuracy Metrics for Target Volume Contouring in PET Image Guided Radiation Therapy. IEEE Trans. Medical Imaging 31(11): 2006-2024 (2012) - 2011
- [j15]Mohammad Saleh Nambakhsh, Alireza Ahmadian, Habib Zaidi:
A contextual based double watermarking of PET images by patient ID and ECG signal. Comput. Methods Programs Biomed. 104(3): 418-425 (2011) - [j14]Maï Khuong Nguyen, Tuong T. Truong, Marcela A. Morvidone, Habib Zaidi:
Scattered Radiation Emission Imaging: Principles and Applications. Int. J. Biomed. Imaging 2011: 913893:1-913893:15 (2011) - 2010
- [j13]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Artificial Neural Network-Based System for PET Volume Segmentation. Int. J. Biomed. Imaging 2010: 105610:1-105610:11 (2010) - [j12]Marcela A. Morvidone, Maï Khuong Nguyen, Tuong T. Truong, Habib Zaidi:
On the V-Line Radon Transform and Its Imaging Applications. Int. J. Biomed. Imaging 2010: 208179:1-208179:6 (2010) - 2009
- [j11]Habib Zaidi, Benjamin M. W. Tsui:
Review of Computational Anthropomorphic Anatomical and Physiological Models. Proc. IEEE 97(12): 1938-1953 (2009) - 2007
- [j10]Marie-Louise Montandon, Habib Zaidi:
Quantitative analysis of template-based attenuation compensation in 3D brain PET. Comput. Medical Imaging Graph. 31(1): 28-38 (2007) - [j9]Tuong T. Truong, Maï Khuong Nguyen, Habib Zaidi:
The Mathematical Foundations of 3D Compton Scatter Emission Imaging. Int. J. Biomed. Imaging 2007: 92780:1-92780:11 (2007) - [j8]Habib Zaidi, Mohammad Reza Ay:
Current status and new horizons in Monte Carlo simulation of X-ray CT scanners. Medical Biol. Eng. Comput. 45(9): 809-817 (2007) - [j7]Habib Zaidi, Marie-Louise Montandon, Steve Meikle:
Strategies for attenuation compensation in neurological PET studies. NeuroImage 34(2): 518-541 (2007) - 2006
- [j6]Habib Zaidi:
Medical image segmentation: Quo Vadis. Comput. Methods Programs Biomed. 84(2-3): 63-65 (2006) - [j5]Abdel-Ouahab Boudraa, Jean-Christophe Cexus, Habib Zaidi:
Functional segmentation of dynamic nuclear images by cross-PsiB-energy operator. Comput. Methods Programs Biomed. 84(2-3): 146-152 (2006) - [j4]Habib Zaidi, Torsten Ruest, Frederic Schoenahl, Marie-Louise Montandon:
Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET. NeuroImage 32(4): 1591-1607 (2006) - 2005
- [j3]Marie-Louise Montandon, Habib Zaidi:
Atlas-guided non-uniform attenuation correction in cerebral 3D PET imaging. NeuroImage 25(1): 278-286 (2005) - 2003
- [j2]Marie-Louise Montandon, Daniel O. Slosman, Habib Zaidi:
Assessment of the impact of model-based scatter correction on [18F]-FDG 3D brain PET in healthy subjects using statistical parametric mapping. NeuroImage 20(3): 1848-1856 (2003) - 1998
- [j1]Habib Zaidi, Claire Labbé, Christian Morel:
Implementation of an Environment for Monte Carlo Simulation of Fully 3-D Positron Tomography on a High-Performance Parallel Platform. Parallel Comput. 24(9-10): 1523-1536 (1998)
Conference and Workshop Papers
- 2022
- [c11]Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed, Mohamed A. Naser, John O. Prior, Su Ruan, Stephanie Tanadini-Lang, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid, Habib Zaidi, Mathieu Hatt, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - 2021
- [c10]Mahsa Amirrashedi, Saeed Sarkar, Hossein Ghadiri, Pardis Ghafarian, Habib Zaidi, Mohammad Reza Ay:
A Deep Neural Network To Recover Missing Data In Small Animal Pet Imaging: Comparison Between Sinogram- And Image-Domain Implementations. ISBI 2021: 1365-1368 - 2020
- [c9]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Brain MR Imaging Segmentation Using Convolutional Auto Encoder Network for PET Attenuation Correction. IntelliSys (3) 2020: 430-440 - [c8]Imene Mecheter, Abbes Amira, Maysam Abbod, Habib Zaidi:
Deep Learning based Segmentation for Multi MR Imaging Protocols using Transfer Learning for PET Attenuation Correction. SSCI 2020: 2516-2520 - 2019
- [c7]Hamidreza Khodajou-Chokami, Seyed Abolfazl Hosseini, Mohammad Reza Ay, Ali Safarzadehamiri, Pardis Ghafarian, Habib Zaidi:
A Novel Method for Measuring the MTF of CT Scanners: A Phantom Study. MeMeA 2019: 1-6 - [c6]Hamidreza Khodajou-Chokami, Seyed Abolfazl Hosseini, Mohammad Reza Ay, Habib Zaidi:
MCNP-FBSM: Development of MCNP/MCNPX Source Model for Simulation of Multi-Slice Fan-Beam X-Ray CT Scanners. MeMeA 2019: 1-6 - 2010
- [c5]Mhd Saeed Sharif, Maysam F. Abbod, Abbes Amira, Habib Zaidi:
Novel hybrid approach combining ANN and MRA for PET volume segmentation. APCCAS 2010: 596-599 - [c4]Marcela A. Morvidone, Tuong T. Truong, Maï Khuong Nguyen, Habib Zaidi:
A novel V-line Radon transform and its imaging applications. ICIP 2010: 629-632 - [c3]Mhd Saeed Sharif, Abbes Amira, Habib Zaidi:
3D Oncological PET volume analysis using CNN and LVQNN. ISCAS 2010: 1783-1786 - [c2]Mhd Saeed Sharif, Abbes Amira, Habib Zaidi:
Intelligent approach for PET volume analysis. ISCAS 2010: 2291-2294 - 1999
- [c1]Claire Labbé, Kris Thielemans, D. Belluzzo, Valentino Bettinardi, Maria Carla Gilardi, D. S. Hague, Matthew W. Jacobson, S. Kaiser, Roni Levkovitz, T. Margalit, Gautam Mitra, Christian Morel, Terry J. Spinks, Patrick Valente, Habib Zaidi, Alexey Zverovich:
An Object-Oriented Library for 3D PET Reconstruction Using Parallel Computing. Bildverarbeitung für die Medizin 1999: 268-272
Informal and Other Publications
- 2024
- [i3]Amirhosein Toosi, Isaac Shiri, Habib Zaidi, Arman Rahmim:
Segmentation-Free Outcome Prediction in Head and Neck Cancer: Deep Learning-based Feature Extraction from Multi-Angle Maximum Intensity Projections (MA-MIPs) of PET Images. CoRR abs/2405.01756 (2024) - [i2]Maziar Sabouri, Shadab Ahamed, Azin Asadzadeh, Atlas Haddadi Avval, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Ali Rasouli, Atena Aghaee, Mohaddese Sehati, Fereshteh Yousefirizi, Carlos F. Uribe, Ghasem Hajianfar, Habib Zaidi, Arman Rahmim:
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images. CoRR abs/2407.10336 (2024) - 2022
- [i1]Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri, Mohamad A. Ramezani, Ren Yuan, Cheryl Ho, Habib Zaidi, Calum MacAulay, Carlos F. Uribe, Fereshteh Yousefirizi:
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features. CoRR abs/2203.06314 (2022)
Coauthor Index
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