João Renato Ribeiro Manesco

According to our database, João Renato Ribeiro Manesco authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

On the Complementarity of Quantum and Classical Features: Adaptive Hybrid Quantum-Classical Feature Fusion for Breast Cancer Classification.

Yasmin Rodrigues Sobrinho, João Renato Ribeiro Manesco, João Paulo Papa

CoRR, April, 2026

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge.

Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm

Medical Image Anal., 2026

Think Portuguese with Bode Reasoning.

Gabriel Lino Garcia, André da Fonseca Schuck, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Leandro A. Passos, João Paulo Papa

Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

2025

Evaluating Large Language Models for Brazilian Portuguese Sentiment Analysis: A Comparative Study of Multilingual State-of-the-Art vs. Brazilian Portuguese Fine-Tuned LLMs.

André da Fonseca Schuck, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, João Paulo Papa

J. Braz. Comput. Soc., 2025

The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese.

Pedro Henrique Paiola, Gabriel Lino Garcia, João Vitor Mariano Correia, João Renato Ribeiro Manesco, Ana Lara Alves Garcia, João Paulo Papa

J. Braz. Comput. Soc., 2025

Enhancing Governance and Explainability in Large Language Models: A Framework for Interpretability-Driven Decision-Making.

Pedro H. Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Lucas Miranda, Maria Paola de Salvo, João P. Papa

Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025

Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images.

João Renato Ribeiro Manesco, Leandro A. Passos, Érika M. Hoshino, Letícia B. Oliveira, Marcel Koenigkam-Santos, João P. Papa

Proceedings of the 9th IEEE Forum on Research and Technologies for Society and Industry, 2025

A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions.

Yasmin Rodrigues Sobrinho, Enzo Gabriel Batista Soares, João Renato Ribeiro Manesco, Jawaher Al-Tuweity, Rafael Gonçalves Pires, João Paulo Papa

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline.

Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Pedro Henrique Crespan Ribeiro, Ana Lara Alves Garcia, João Paulo Papa

Proceedings of the 38th IEEE International Symposium on Computer-Based Medical Systems, 2025

2024

A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences.

Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Lucas Miranda, Maria Paola de Salvo, João Paulo Papa

CoRR, 2024

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation.

Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa

CoRR, 2024

Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images.

João Renato Ribeiro Manesco, Danilo Samuel Jodas, Maurício José Grapíggia Zanella, Marcel Koenigkam-Santos, João Paulo Papa

Proceedings of the 37th SIBGRAPI Conference on Graphics, Patterns and Images, 2024

Impact of Quantization on Large Language Models for Portuguese Classification Tasks.

Danilo Samuel Jodas, Gabriel Lino Garcia, Pedro Henrique Paiola, João Renato Ribeiro Manesco, João Paulo Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese.

Gabriel Lino Garcia, Pedro Henrique Paiola, Eduardo Garcia, João Renato Ribeiro Manesco, João Paulo Papa

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2024

2023

DUA: A Domain-Unified Approach for Cross-Dataset 3D Human Pose Estimation.

João Renato Ribeiro Manesco, Stefano Berretti, Aparecido Nilceu Marana

Sensors, September, 2023

Dog Face Recognition Using Vision Transformer.

Victor Hugo Braguim Canto, João Renato Ribeiro Manesco, Gustavo Botelho de Souza, Aparecido Nilceu Marana

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

A Survey of Recent Advances on Two-Step 3D Human Pose Estimation.

João Renato Ribeiro Manesco, Aparecido Nilceu Marana

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022