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2020 – today
- 2025
[j32]Mohammad R. Salmanpour
, Morteza Alizadeh, Ghazal Mousavi, Saba Sadeghi, Sajad Amiri, Mehrdad Oveisi, Arman Rahmim, Ilker Hacihaliloglu:
Machine Learning Evaluation Metric Discrepancies Across Programming Languages and Their Components in Medical Imaging Domains: Need for Standardization. IEEE Access 13: 47217-47229 (2025)- [j31]Asim Shrestha, Adam Watkins, Fereshteh Yousefirizi, Arman Rahmim, Carlos F. Uribe:
RT-utils: A Minimal Python Library for RT-struct Manipulation. J. Open Source Softw. 10(109): 7361 (2025) - [j30]Lucas A. Polson, Roberto Fedrigo, Chenguang Li, Maziar Sabouri, Obed Dzikunu, Shadab Ahamed, Nicolas A. Karakatsanis, Sara Kurkowska, Peyman Sheikhzadeh, Pedro L. Esquinas, Arman Rahmim, Carlos F. Uribe:
PyTomography: A python library for medical image reconstruction. SoftwareX 29: 102020 (2025) - [i29]Obed Korshie Dzikunu, Shadab Ahamed, Amirhossein Toosi, Xiaoxiao Li, Arman Rahmim:
Adaptive Voxel-Weighted Loss Using L1 Norms in Deep Neural Networks for Detection and Segmentation of Prostate Cancer Lesions in PET/CT Images. CoRR abs/2502.02756 (2025) - [i28]Maziar Sabouri, Ghasem Hajianfar, Alireza Rafiei Sardouei, Milad Yazdani, Azin Asadzadeh, Soroush Bagheri, Mohsen Arabi, Seyed Rasoul Zakavi, Emran Askari, Atena Aghaee, Dena Shahriari, Habib Zaidi, Arman Rahmim:
AI-Augmented Thyroid Scintigraphy for Robust Classification. CoRR abs/2503.00366 (2025) - 2024
- [j29]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng:
Assessing privacy leakage in synthetic 3-D PET imaging using transversal GAN. Comput. Methods Programs Biomed. 243: 107910 (2024) - [j28]Anahita Piranfar, Madjid Soltani, Farshad Moradi Kashkooli, Carlos F. Uribe, Arman Rahmim:
Spatiotemporal modeling of radiopharmaceutical transport in solid tumors: Application to 177Lu-PSMA therapy of prostate cancer. Comput. Methods Programs Biomed. 245: 108004 (2024) - [j27]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) - [j26]Obed Dzikunu, Maziar Sabouri, Shadab Ahamed, Carlos F. Uribe, Arman Rahmim, Lucas A. Polson:
SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction. J. Open Source Softw. 9(104): 7399 (2024) - [c26]Niloufar Zakariaei, Arman Rahmim, Eldad Haber:
Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging. CMMCA@MICCAI 2024: 99-109 - [c25]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. EUVIP 2024: 1-6 - [c24]Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim:
How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models. DGM4MICCAI@MICCAI 2024: 212-221 - [i27]Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi:
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. CoRR abs/2403.07092 (2024) - [i26]Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim:
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. CoRR abs/2403.07105 (2024) - [i25]Yasamin Medghalchi, Niloufar Zakariaei, Arman Rahmim, Ilker Hacihaliloglu:
MEDDAP: Medical Dataset Enhancement via Diversified Augmentation Pipeline. CoRR abs/2403.16335 (2024) - [i24]Shadab Ahamed, Yixi Xu, Arman Rahmim:
IgCONDA-PET: Implicitly-Guided Counterfactual Diffusion for Detecting Anomalies in PET Images. CoRR abs/2405.00239 (2024) - [i23]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) - [i22]Niloufar Zakariaei, Arman Rahmim, Eldad Haber:
Beyond Conventional Parametric Modeling: Data-Driven Framework for Estimation and Prediction of Time Activity Curves in Dynamic PET Imaging. CoRR abs/2405.21021 (2024) - [i21]Arman Rahmim, Tyler J. Bradshaw, Guido Davidzon, Joyita Dutta, Georges El Fakhri, Munir Ghesani, Nicolas A. Karakatsanis, Quanzheng Li, Chi Liu, Emilie Roncali, Babak Saboury, Tahir Yusufaly, Abhinav K. Jha:
Nuclear Medicine Artificial Intelligence in Action: The Bethesda Report (AI Summit 2024). CoRR abs/2406.01044 (2024) - [i20]Md Shahriar Rahim Siddiqui, Arman Rahmim, Eldad Haber:
Deep Optimal Experimental Design for Parameter Estimation Problems. CoRR abs/2406.14003 (2024) - [i19]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) - [i18]Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim:
How To Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-Angle Maximum Intensity Projections and Diffusion Models. CoRR abs/2407.18555 (2024) - [i17]SaeedReza Motamedian, Sadra Mohaghegh, Elham Babadi Oregani, Mahrsa Amjadi, Parnian Shobeiri, Negin Cheraghi, Niusha Solouki, Nikoo Ahmadi, Mohammad-Rahimi Hossein, Yassine Bouchareb, Arman Rahmim:
Prognosis of COVID-19 using Artificial Intelligence: A Systematic Review and Meta-analysis. CoRR abs/2408.00208 (2024) - [i16]Mohammad R. Salmanpour, Morteza Alizadeh, Ghazal Mousavi, Saba Sadeghi, Sajad Amiri, Mehrdad Oveisi, Arman Rahmim, Ilker Hacihaliloglu:
Machine Learning Evaluation Metric Discrepancies across Programming Languages and Their Components: Need for Standardization. CoRR abs/2411.12032 (2024) - [i15]Mohammad R. Salmanpour, Arman Gorji, Amin Mousavi, Ali Fathi Jouzdani, Nima Sanati, Mehdi Maghsudi, Bonnie Leung, Cheryl Ho, Ren Yuan, Arman Rahmim:
Enhanced Lung Cancer Survival Prediction using Semi-Supervised Pseudo-Labeling and Learning from Diverse PET/CT Datasets. CoRR abs/2412.00068 (2024) - [i14]Mohammad R. Salmanpour, Sajad Amiri, Sara Gharibi, Ahmad Shariftabrizi, Yixi Xu, William B. Weeks, Arman Rahmim, Ilker Hacihaliloglu:
Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0. CoRR abs/2412.10967 (2024) - 2023
- [j25]Marzieh Esmaeili, Amirhosein Toosi, Arash Roshanpoor, Vahid Changizi, Marjan Ghazisaeedi, Arman Rahmim, Mohammad Sabokrou:
Generative Adversarial Networks for Anomaly Detection in Biomedical Imaging: A Study on Seven Medical Image Datasets. IEEE Access 11: 17906-17921 (2023) - [j24]Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan Lavista Ferres:
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss. Comput. Biol. Medicine 158: 106882 (2023) - [j23]Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Arman Rahmim:
Fusion-based tensor radiomics using reproducible features: Application to survival prediction in head and neck cancer. Comput. Methods Programs Biomed. 240: 107714 (2023) - [j22]Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Mahya Bakhtiyari, Mehdi Maghsudi, Arman Rahmim:
Prediction of drug amount in Parkinson's disease using hybrid machine learning systems and radiomics features. Int. J. Imaging Syst. Technol. 33(4): 1437-1449 (2023) - [c23]Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim:
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset. Image Processing 2023 - [c22]Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim:
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images. Image Processing 2023 - [c21]Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim:
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging. Image Processing 2023 - [c20]Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu, Abhinav K. Jha, Robert V. Bergen, Jean-François Rajotte, Raymond T. Ng, Ingrid Bloise, Sara Harsini, Dan J. Kadrmas, Carlos F. Uribe, Arman Rahmim:
Observer study-based evaluation of TGAN architecture used to generate oncological PET images. Image Perception, Observer Performance, and Technology Assessment 2023 - [i13]Shadab Ahamed, Arman Rahmim:
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT Images. CoRR abs/2309.13553 (2023) - [i12]Shadab Ahamed, Yixi Xu, Claire Gowdy, Joo Hyun O, Ingrid Bloise, Don Wilson, Patrick Martineau, François Bénard, Fereshteh Yousefirizi, Rahul Dodhia, Juan M. Lavista Ferres, William B. Weeks, Carlos F. Uribe, Arman Rahmim:
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images. CoRR abs/2311.09614 (2023) - 2022
- [j21]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) - [j20]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) - [j19]Milad Mousavi, Mahsa Dehghan Manshadi, Madjid Soltani, Farshad Moradi Kashkooli, Arman Rahmim, Amir Mosavi, Michal Kvasnica, Peter M. Atkinson, Levente Kovács, Andras Koltay, Norbert Kiss, Hojjat Adeli:
Modeling the efficacy of different anti-angiogenic drugs on treatment of solid tumors using 3D computational modeling and machine learning. Comput. Biol. Medicine 146: 105511 (2022) - [j18]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) - [j17]Ivan S. Klyuzhin, Yixi Xu, Anthony Ortiz, Juan Lavista Ferres, Ghassan Hamarneh, Arman Rahmim:
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features. Comput. Methods Programs Biomed. 219: 106750 (2022) - [j16]Valentin Oreiller, Vincent Andrearczyk, Mario Jreige, Sarah Boughdad, Hesham Elhalawani, Joël Castelli, Martin Vallières, Simeng Zhu, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt, Yading Yuan, Jun Ma, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser, Clifton D. Fuller, Fereshteh Yousefirizi, Arman Rahmim, Huai Chen, Lisheng Wang, John O. Prior, Adrien Depeursinge:
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77: 102336 (2022) - [c19]Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Ensiyeh Modiri, Azizeh Akbari, Ghasem Hajianfar, Dariush Askari, Mehdi Fatan, Mehdi Maghsudi, Hanieh Ghaffari, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Arman Rahmim:
Advanced survival prediction in head and neck cancer using hybrid machine learning systems and radiomics features. Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c18]Mohammad R. Salmanpour, Mahdi Hosseinzadeh, Azizeh Akbari, Kasra Borazjani, Kasra Mojallal, Dariush Askari, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Amir Hossein Nabizadeh, Arman Rahmim:
Prediction of TNM stage in head and neck cancer using hybrid machine learning systems and radiomics features. Computer-Aided Diagnosis 2022 - [c17]Shadab Ahamed, Luke Polson, Arman Rahmim:
A U-Net Convolutional Neural Network with Multiclass Dice Loss for Automated Segmentation of Tumors and Lymph Nodes from Head and Neck Cancer PET/CT Images. HECKTOR@MICCAI 2022: 94-106 - [c16]Mohammad R. Salmanpour, Ghasem Hajianfar, Mahdi Hosseinzadeh, Seyed Masoud Rezaeijo, Mohammad Mehdi Hosseini, Ehsanhosein Kalatehjari, Ali Harimi, Arman Rahmim:
Deep Learning and Machine Learning Techniques for Automated PET/CT Segmentation and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2022: 230-239 - [c15]Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi:
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma. Image Processing 2022 - [c14]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3D PET image generation with tumour masks using TGAN. Image Processing 2022 - [c13]Arash Javanmardi, Mahdi Hosseinzadeh, Ghasem Hajianfar, Amir Hossein Nabizadeh, Seyed Masoud Rezaeijo, Arman Rahmim, Mohammad R. Salmanpour:
Multi-modality fusion coupled with deep learning for improved outcome prediction in head and neck cancer. Image Processing 2022 - [c12]Fereshteh Yousefirizi, Natalia Dubljevic, Shadab Ahamed, Ingrid Bloise, Claire Gowdy, Joo Hyun O, Youssef Farag, Rodrigue de Schaetzen, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim:
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images. Image Processing 2022 - [i11]Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim:
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. CoRR abs/2202.07823 (2022) - [i10]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) - [i9]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Arman Rahmim, Raymond T. Ng:
Assessing Privacy Leakage in Synthetic 3-D PET Imaging using Transversal GAN. CoRR abs/2206.06448 (2022) - [i8]Arman Rahmim, Tyler J. Bradshaw, Irène Buvat, Joyita Dutta, Abhinav K. Jha, Paul E. Kinahan, Quanzheng Li, Chi Liu, Melissa D. McCradden, Babak Saboury, Eliot L. Siegel, John J. Sunderland, Richard L. Wahl:
Issues and Challenges in Applications of Artificial Intelligence to Nuclear Medicine - The Bethesda Report (AI Summit 2022). CoRR abs/2211.03783 (2022) - 2021
- [j15]Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Ghasem Hajianfar, Hamid Soltanian-Zadeh, Arman Rahmim:
Robust identification of Parkinson's disease subtypes using radiomics and hybrid machine learning. Comput. Biol. Medicine 129: 104142 (2021) - [j14]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) - [j13]Matthew P. Adams, Arman Rahmim, Jing Tang:
Improved motor outcome prediction in Parkinson's disease applying deep learning to DaTscan SPECT images. Comput. Biol. Medicine 132: 104312 (2021) - [j12]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) - [j11]Mohammad R. Salmanpour, Mojtaba Shamsaei, Arman Rahmim:
Feature selection and machine learning methods for optimal identification and prediction of subtypes in Parkinson's disease. Comput. Methods Programs Biomed. 206: 106131 (2021) - [c11]Mohammad R. Salmanpour, Ghasem Hajianfar, Seyed Masoud Rezaeijo, Mohammad Mahdi Ghaemi, Arman Rahmim:
Advanced Automatic Segmentation of Tumors and Survival Prediction in Head and Neck Cancer. HECKTOR@MICCAI 2021: 202-210 - [c10]Fereshteh Yousefirizi, Ian Janzen, Natalia Dubljevic, Yueh-En Liu, Chloe Hill, Calum MacAulay, Arman Rahmim:
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks. HECKTOR@MICCAI 2021: 236-247 - [i7]Arkadiusz Sitek, Sangtae Ahn, Evren Asma, Adam Chandler, Alvin Ihsani, Sven Prevrhal, Arman Rahmim, Babak Saboury, Kris Thielemans:
Artificial Intelligence in PET: an Industry Perspective. CoRR abs/2107.06747 (2021) - [i6]Amirhosein Toosi, Andrea Bottino, Babak Saboury, Eliot L. Siegel, Arman Rahmim:
A brief history of AI: how to prevent another winter (a critical review). CoRR abs/2109.01517 (2021) - [i5]Fereshteh Yousefirizi, Pierre Decazes, Amine Amyar, Su Ruan, Babak Saboury, Arman Rahmim:
AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging: Towards Radiophenomics. CoRR abs/2110.10332 (2021) - [i4]Robert V. Bergen, Jean-François Rajotte, Fereshteh Yousefirizi, Ivan S. Klyuzhin, Arman Rahmim, Raymond T. Ng:
3-D PET Image Generation with tumour masks using TGAN. CoRR abs/2111.01866 (2021) - 2020
- [j10]Wenbing Lv, Saeed Ashrafinia, Jianhua Ma, Lijun Lu, Arman Rahmim:
Multi-Level Multi-Modality Fusion Radiomics: Application to PET and CT Imaging for Prognostication of Head and Neck Cancer. IEEE J. Biomed. Health Informatics 24(8): 2268-2277 (2020) - [c9]Fereshteh Yousefirizi, Arman Rahmim:
GAN-Based Bi-Modal Segmentation Using Mumford-Shah Loss: Application to Head and Neck Tumors in PET-CT Images. HECKTOR@MICCAI 2020: 99-108
2010 – 2019
- 2019
- [j9]Mohammad R. Salmanpour, Mojtaba Shamsaei, Abdollah Saberi, Saeed Setayeshi, Ivan S. Klyuzhin, Vesna Sossi, Arman Rahmim:
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease. Comput. Biol. Medicine 111 (2019) - [j8]Steven P. Rowe, Lilja B. Solnes, Yafu Yin, Grant Kitchen, Martin A. Lodge, Nicolas A. Karakatsanis, Arman Rahmim, Martin G. Pomper, Jeffrey P. Leal:
Imager-4D: New Software for Viewing Dynamic PET Scans and Extracting Radiomic Parameters from PET Data. J. Digit. Imaging 32(6): 1071-1080 (2019) - [i3]Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
PET/CT Radiomic Sequencer for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients. CoRR abs/1906.06623 (2019) - [i2]Isaac Shiri, Hassan Maleki, Ghasem Hajianfar, Hamid Abdollahi, Saeed Ashrafinia, Mathieu Hatt, Mehrdad Oveisi, Arman Rahmim:
Next Generation Radiogenomics Sequencing for Prediction of EGFR and KRAS Mutation Status in NSCLC Patients Using Multimodal Imaging and Machine Learning Approaches. CoRR abs/1907.02121 (2019) - 2018
- [j7]Lijun Lu, Xiaomian Ma, Hassan Mohy-ud-Din, Jianhua Ma, Qianjin Feng, Arman Rahmim, Wufan Chen:
Enhancement of dynamic myocardial perfusion PET images based on low-rank plus sparse decomposition. Comput. Methods Programs Biomed. 154: 57-69 (2018) - [c8]Wenbing Lv, Qingyu Yuan, Quanshi Wang, Jianhua Ma, Qianjin Feng, Wufan Chen, Arman Rahmim, Lijun Lu:
Radiomics analysis of baseline F-FDG PET/CT images for improved prognosis in nasopharyngeal carcinoma. ISBI 2018: 835-838 - [i1]Hossein Ghadiri, Mohammad Reza Fouladi, Arman Rahmim:
An Analysis Scheme for Investigation of Effects of Various Parameters on Signals in Acoustic-Resolution Photoacoustic Microscopy of Mice Brain: a Simulation Study. CoRR abs/1805.06236 (2018) - 2017
- [j6]Brian A. Anderson, Hiroto Kuwabara, Dean F. Wong, Joshua Roberts, Arman Rahmim, James R. Brasic, Susan M. Courtney:
Linking dopaminergic reward signals to the development of attentional bias: A positron emission tomographic study. NeuroImage 157: 27-33 (2017) - [c7]Abhinav K. Jha, Yansong Zhu, Dean F. Wong, Arman Rahmim:
A radiative transfer equation-based image-reconstruction method incorporating boundary conditions for diffuse optical imaging. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013705 - 2016
- [j5]Hossein Bazmara, Madjid Soltani, Mostafa Sefidgar, Majid Bazargan, Mojtaba Mousavi Naeenian, Arman Rahmim:
Blood flow and endothelial cell phenotype regulation during sprouting angiogenesis. Medical Biol. Eng. Comput. 54(2-3): 547-558 (2016) - [c6]Fereshteh Aalamifar, Reza Seifabadi, Marcelino Bernardo, Ayele H. Negussie, Baris Turkbey, María Merino, Peter A. Pinto, Arman Rahmim, Bradford J. Wood, Emad M. Boctor:
Ultrasound Tomosynthesis: A New Paradigm for Quantitative Imaging of the Prostate. MICCAI (1) 2016: 577-584 - 2014
- [c5]Lijun Lu, Jianhua Ma, Jing Tang, Qianjin Feng, Arman Rahmim, Wufan Chen:
Anatomy-guided brain PET imaging incorporating a joint prior model. ISBI 2014: 959-962 - 2013
- [j4]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) - 2010
- [j3]Dean F. Wong, Hiroto Kuwabara, Andrew G. Horti, Vanessa Raymont, James R. Brasic, Maria Guevara, Weiguo Ye, Robert F. Dannals, Hayden T. Ravert, Ayon Nandi, Arman Rahmim, Jeffrey E. Ming, Igor Grachev, Christine Roy, Nicola Cascella:
Quantification of cerebral cannabinoid receptors subtype 1 (CB1) in healthy subjects and schizophrenia by the novel PET radioligand [11C]OMAR. NeuroImage 52(4): 1505-1513 (2010) - [j2]Dean F. Wong, Hiroto Kuwabara, Andrew G. Horti, Vanessa Raymont, James R. Brasic, Maria Guevara, Blanca Bisuna, Ayon Nandi, Arman Rahmim, Nicola Cascella:
Cannaboid CB1 receptor imaging in vivo in schizophrenia by positron emission tomography. NeuroImage 52(Supplement-1): S11-S12 (2010)
2000 – 2009
- 2008
- [j1]Arman Rahmim, Katie Dinelle, Ju-Chieh Cheng, Mikhail A. Shilov, William Paul Segars, Sarah C. Lidstone, Stephan Blinder, Olivier G. Rousset, Hamid Vajihollahi, Benjamin M. W. Tsui, Dean F. Wong, Vesna Sossi:
Accurate Event-Driven Motion Compensation in High-Resolution PET Incorporating Scattered and Random Events. IEEE Trans. Medical Imaging 27(8): 1018-1033 (2008) - [c4]Parham Geramifar, Mohammad Reza Ay, Mojtaba Shamsaei Zafarghandi, George Loudos, Arman Rahmim:
Monte Carlo assessment of time-of-flight benefits on the LYSO-based discovery RX PET/CT scanner. ISBI 2008: 364-367 - [c3]Maryam Shirmohammad, Mohammad Reza Ay, Saeed Sarkar, Hossein Ghadiri, Arman Rahmim:
Comparative assessment of different energy mapping methods for generation of 511-keV attenuation map from CT images in PET/CT systems: A phantom study. ISBI 2008: 644-647 - [c2]Jing Tang, Benjamin M. W. Tsui, Arman Rahmim:
Bayesian PET image reconstruction incorporating anato-functional joint entropy. ISBI 2008: 1043-1046 - [c1]Arman Rahmim, Martin A. Lodge, Jing Tang, Sahel Lashkari, Mohammad Reza Ay:
Analytic system matrix resolution modeling in PET: An application to Rb-82 cardiac imaging. ISBI 2008: 1307-1310
Coauthor Index
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