Carlos F. Uribe

According to our database, Carlos F. Uribe authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PyTomography: A python library for medical image reconstruction.

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

SoftwareX, 2025

2024

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo H. O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim

CoRR, 2024

Spatiotemporal modeling of radiopharmaceutical transport in solid tumors: Application to 177Lu-PSMA therapy of prostate cancer.

Anahita Piranfar, Madjid Soltani, Farshad Moradi Kashkooli, Carlos F. Uribe, Arman Rahmim

Comput. Methods Programs Biomed., 2024

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.

Amirhosein Toosi, Sara Harsini, François Bénard, Carlos F. Uribe, Arman Rahmim

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

Thyroidiomics: An Automated Pipeline for Segmentation and Classification of Thyroid Pathologies from Scintigraphy Images.

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

Proceedings of the 12th European Workshop on Visual Information Processing, 2024

2023

Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss.

Yixi Xu, Ivan S. Klyuzhin, Sara Harsini, Anthony Ortiz, Shun Zhang, François Bénard, Rahul Dodhia, Carlos F. Uribe, Arman Rahmim, Juan Lavista Ferres

Comput. Biol. Medicine, May, 2023

Comprehensive Evaluation and Insights into the Use of Deep Neural Networks to Detect and Quantify Lymphoma Lesions in PET/CT Images.

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

CoRR, 2023

Observer study-based evaluation of TGAN architecture used to generate oncological PET images.

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

Proceedings of the Medical Imaging 2023: Image Perception, 2023

Revisiting the supervision level in semi-supervised learning for automated tumor segmentation: application to lymphoma FDG PET imaging.

Fereshteh Yousefirizi, Joo Hyun O, Ingrid Bloise, Amirhosein Toosi, Carlos F. Uribe, Arman Rahmim

Proceedings of the Medical Imaging 2023: Image Processing, 2023

State-of-the-art object detection algorithms for small lesion detection in PSMA PET: use of rotational maximum intensity projection (MIP) images.

Amirhosein Toosi, Sara Harsini, Shadab Ahamed, Fereshteh Yousefirizi, François Bénard, Carlos F. Uribe, Arman Rahmim

Proceedings of the Medical Imaging 2023: Image Processing, 2023

A slice classification neural network for automated classification of axial PET/CT slices from a multi-centric lymphoma dataset.

Shadab Ahamed, Yixi Xu, Ingrid Bloise, Joo Hyun O, Carlos F. Uribe, Rahul Dodhia, Juan Lavista Ferres, Arman Rahmim

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2022

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features.

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

CoRR, 2022

Convolutional neural network with a hybrid loss function for fully automated segmentation of lymphoma lesions in FDG PET images.

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

Proceedings of the Medical Imaging 2022: Image Processing, 2022

A cascaded deep network for automated tumor detection and segmentation in clinical PET imaging of diffuse large B-cell lymphoma.

Shadab Ahamed, Natalia Dubljevic, Ingrid Bloise, Claire Gowdy, Patrick Martineau, Don Wilson, Carlos F. Uribe, Arman Rahmim, Fereshteh Yousefirizi

Proceedings of the Medical Imaging 2022: Image Processing, 2022