Carlos F. Uribe

21 papers B 5Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Artificial intelligence for simplified patient-centered dosimetry in radiopharmaceutical therapies.
CoRR
Alejandro López-Montes, Fereshteh Yousefirizi, Yizhou Chen, Yazdan Salimi, Robert Seifert, Ali Afshar-Oromieh, Carlos F. Uribe, Axel Rominger, Habib Zaidi, Arman Rahmim, Kuangyu Shi
2025 J jnl
PyTomography: A python library for medical image reconstruction.
SoftwareX
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
2025 J jnl
RT-utils: A Minimal Python Library for RT-struct Manipulation.
J. Open Source Softw.
Asim Shrestha, Adam Watkins, Fereshteh Yousefirizi, Arman Rahmim, Carlos F. Uribe
2025 J jnl
Uncertainty Propagation From Projections to Region Counts in Tomographic Imaging: Application to Radiopharmaceutical Dosimetry.
IEEE Trans. Medical Imaging
Lucas A. Polson, Sara Kurkowska, Chenguang Li, Pedro L. Esquinas, Peyman Sheikhzadeh, Mehrshad Abbasi, François Bénard, Carlos F. Uribe, Arman Rahmim
2024 J jnl
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma.
CoRR
Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
2024 J jnl
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
CoRR
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2024 J jnl
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
Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim
2024 — conf
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
Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim
2024 J jnl
SlicerSPECTRecon: A 3D Slicer Extension for SPECT Image Reconstruction.
J. Open Source Softw.
Obed Dzikunu, Maziar Sabouri, Shadab Ahamed, Carlos F. Uribe, Arman Rahmim, Lucas A. Polson
2024 J jnl
Spatiotemporal modeling of radiopharmaceutical transport in solid tumors: Application to 177Lu-PSMA therapy of prostate cancer.
Comput. Methods Programs Biomed.
Anahita Piranfar, Madjid Soltani, Farshad Moradi Kashkooli, Carlos F. Uribe, Arman Rahmim
2024 — conf
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images.
EUVIP
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
2024 J jnl
Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images.
CoRR
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
2023 B conf
A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.
Image Processing
Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan M. Lavista Ferres, Arman Rahmim
2023 J jnl
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.
Comput. Biol. Medicine
Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan M. Lavista Ferres
2023 J jnl
Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.
CoRR
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
2023 — conf
Observer study-based evaluation of TGAN architecture used to generate oncological PET images.
Image Perception, Observer Performance, and Technology Assessment
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
2023 B conf
Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging.
Image Processing
Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim
2023 B conf
State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.
Image Processing
Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim
2022 B conf
A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma.
Image Processing
Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi
2022 B conf
Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images.
Image Processing
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
2022 J jnl
Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.
CoRR
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