José G. de Almeida

According to our database, José G. de Almeida authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Corrigendum to "Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data" [Comput. Biol. Med. 17 (2024) 108216].

Nuno Miguel Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou

Comput. Biol. Medicine, 2024

Analysis of domain shift in whole prostate gland, zonal and lesions segmentation and detection, using multicentric retrospective data.

Nuno M. Rodrigues, José Guilherme de Almeida, Ana Sofia Castro Verde, Ana Mascarenhas Gaivão, Carlos Bilreiro, Inês Santiago, Joana Ip, Sara Belião, Raquel Moreno, Celso Matos, Leonardo Vanneschi, Manolis Tsiknakis, Kostas Marias, Daniele Regge, Sara Silva, Nickolas Papanikolaou

Comput. Biol. Medicine, 2024

StitchPro for Computational Pathology Stitching in Patients with Prostate Cancer.

Ana Sofia Castro Verde, José Guilherme de Almeida, Jorge Fonseca, Celso Matos, Raquel Cruz Conceição, Nickolas Papanikolaou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Radiomics-Based Reliable Predictions of Side Effects After Radiotherapy for Prostate Cancer.

Giulio Del Corso, Eva Pachetti, Rossana Buongiorno, Ana Carolina Rodrigues, Danila Germanese, Maria Antonietta Pascali, José G. de Almeida, Nuno M. Rodrigues, Manolis Tsiknakis, Nickolas Papanikolaou, Daniele Regge, Kostas Marias, ProCAncer-I Consortium, Sara Colantonio

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Testing the Segment Anything Model on radiology data.

José Guilherme de Almeida, Nuno M. Rodrigues, Sara Silva, Nickolas Papanikolaou

CoRR, 2023

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions.

Jun Ma, Ronald Xie, Shamini Ayyadhury, Cheng Ge, Anubha Gupta, Ritu Gupta, Song Gu, Yao Zhang, Gihun Lee, Joonkee Kim, Wei Lou, Haofeng Li, Eric Upschulte, Timo Dickscheid, José Guilherme de Almeida, Yixin Wang, Lin Han, Xin Yang, Marco Labagnara, Sahand Jamal Rahi, Carly Kempster, Alice Pollitt, Leon Espinosa, Tâm Mignot, Jan Moritz Middeke, Jan-Niklas Eckardt, Wangkai Li, Zhaoyang Li, Xiaochen Cai, Bizhe Bai, Noah F. Greenwald, David Van Valen, Erin Weisbart, Beth A. Cimini, Zhuoshi Li, Chao Zuo, Oscar Brück, Gary D. Bader, Bo Wang

CoRR, 2023

Performance Analysis of Self-Supervised Strategies for Standard Genetic Programming.

Nuno M. Rodrigues, José G. de Almeida, Sara Silva

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2021

Predicting Hot Spots Using a Deep Neural Network Approach.

António J. Preto, Pedro Matos-Filipe, José G. de Almeida, Joana Mourão, Irina S. Moreira

Proceedings of the Artificial Neural Networks - Third Edition., 2021

2020

Understanding the Binding Specificity of G-Protein Coupled Receptors toward G-Proteins and Arrestins: Application to the Dopamine Receptor Family.

António J. Preto, Carlos A. V. Barreto, Salete J. Baptista, José G. de Almeida, Agostinho Lemos, André Melo, M. Natália Dias Soeiro Cordeiro, Zeynep Kurkcuoglu, Rita Melo, Irina S. Moreira

J. Chem. Inf. Model., 2020