| A deep convolutional neural network for COVID-19 detection using chest X-rays PRAS Bassi, R Attux Research on Biomedical Engineering, 1-10, 2021 | 194 | 2021 |
| Transfer learning and SpecAugment applied to SSVEP based BCI classification PRAS Bassi, W Rampazzo, R Attux Biomedical Signal Processing and Control 67, 102542, 2021 | 39 | 2021 |
| Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization PRAS Bassi, SSJ Dertkigil, A Cavalli Nature Communications 15 (1), 291, 2024 | 37 | 2024 |
| Abdomenatlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking W Li, C Qu, X Chen, PRAS Bassi, Y Shi, Y Lai, Q Yu, H Xue, Y Chen, X Lin, ... Medical Image Analysis 97, 103285, 2024 | 18 | 2024 |
| COVID-19 detection using chest X-rays: Is lung segmentation important for generalization? PRAS Bassi, R Attux Research on Biomedical Engineering 38 (4), 1121-1139, 2022 | 16 | 2022 |
| FBDNN: Filter banks and deep neural networks for portable and fast brain-computer interfaces PRAS Bassi, R Attux Biomedical Physics & Engineering Express 8 (3), 035018, 2022 | 11* | 2022 |
| Touchstone benchmark: Are we on the right way for evaluating AI algorithms for medical segmentation? PRAS Bassi, W Li, Y Tang, F Isensee, Z Wang, J Chen, YC Chou, ... Advances in Neural Information Processing Systems 37, 15184-15201, 2024 | 5 | 2024 |
| Deep triplet neural networks applied to signal classification in brain-computer interfaces P Bassi, W Rampazzo, R Attux Anais do 37th Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, 2019 | 3* | 2019 |
| RadGPT: Constructing 3D Image-Text Tumor Datasets PRAS Bassi, MC Yavuz, K Wang, X Chen, W Li, S Decherchi, A Cavalli, ... arXiv preprint arXiv:2501.04678, 2025 | 2 | 2025 |
| Text-driven tumor synthesis X Li, Y Shuai, C Liu, Q Chen, Q Wu, P Guo, D Yang, C Zhao, PRAS Bassi, ... arXiv preprint arXiv:2412.18589, 2024 | 2 | 2024 |
| ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models W Li, PRAS Bassi, T Lin, YC Chou, X Zhou, Y Tang, F Isensee, K Wang, ... arXiv preprint arXiv:2501.03410, 2025 | 1 | 2025 |
| Explanation is all you need in distillation: Mitigating bias and shortcut learning PRAS Bassi, A Cavalli, S Decherchi arXiv preprint arXiv:2407.09788, 2024 | 1 | 2024 |
| Fundamentos de redes neurais profundas PRAS Bassi, RR de Faissol Attux Revista dos Trabalhos de Iniciação Científica da UNICAMP, 2019 | 1 | 2019 |
| Label Critic: Design Data Before Models PRAS Bassi, Q Wu, W Li, S Decherchi, A Cavalli, A Yuille, Z Zhou arXiv preprint arXiv:2411.02753, 2024 | | 2024 |
| Faster ISNet for Background Bias Mitigation on Deep Neural Networks PRAS Bassi, S Decherchi, A Cavalli IEEE Access, 2024 | | 2024 |
| A study of deep neural networks for image recognition in BCIs and COVID-19 detection PRAS Bassi UNICAMP, 2021 | | 2021 |
| Redes neurais profundas: implementação no contexto de reconhecimento de imagens P Bassi, R Attux Revista dos Trabalhos de Iniciação Científica da UNICAMP, 1-1, 0 | | |
Romis Ribeiro de Faissol AttuxProfessor - DCA/FEEC/UNICAMPVerified email at dca.fee.unicamp.br
