| AdaResU-Net: Multiobjective adaptive convolutional neural network for medical image segmentation M Baldeon-Calisto, SK Lai-Yuen Neurocomputing 392, 325-340, 2020 | 143 | 2020 |
| AdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation MB Calisto, SK Lai-Yuen Neural Networks 126, 76-94, 2020 | 119 | 2020 |
| CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ... Medical Image Analysis 83, 102628, 2023 | 64 | 2023 |
| EMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation MB Calisto, SK Lai-Yuen Artificial intelligence in medicine 119, 102154, 2021 | 49 | 2021 |
| Biomedical image analysis competitions: The state of current participation practice M Eisenmann, A Reinke, V Weru, MD Tizabi, F Isensee, TJ Adler, ... arXiv preprint arXiv:2212.08568, 2022 | 25 | 2022 |
| Self-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation MGB Calisto, SK Lai-Yuen Medical Imaging 2020: Image Processing 11313, 459-469, 2020 | 19 | 2020 |
| ResU-Net: Residual Convolutional Neural Network for prostate MRI Segmentation M Baldeon-Calisto, S Lai-Yuen Proceedings of the 2018 IISE Annual Conference, 2018 | 12 | 2018 |
| EMONAS: efficient multiobjective neural architecture search framework for 3D medical image segmentation MGB Calisto, SK Lai-Yuen Medical Imaging 2021: Image Processing 11596, 22-34, 2021 | 10 | 2021 |
| Analyzing the effect of basic data augmentation for covid-19 detection through a fractional factorial experimental design MH Davila, M Baldeon-Calisto, JJ Murillo, B Puente-Mejia, D Navarrete, ... Emerging Science Journal 7, 1-16, 2022 | 3 | 2022 |
| Extending the U-Net Architecture for Strokes Segmentation on CT Scan Images I Guerrón, N Peréz, D Benítez, F Grijalva, D Riofrío, M Baldeon-Calisto 2023 IEEE 13th International Conference on Pattern Recognition Systems …, 2023 | 2 | 2023 |
| A multi-object deep neural network architecture to detect prostate anatomy in T2-weighted MRI: Performance evaluation M Baldeon-Calisto, Z Wei, S Abudalou, Y Yilmaz, K Gage, J Pow-Sang, ... Frontiers in Nuclear Medicine 2, 1083245, 2023 | 2 | 2023 |
| U-net variations for spontaneous intracranial hemorrhages detection on ct images LA Erazo, N Pérez, D Benítez, D Riofrío, RF Moyano, M Baldeon-Calisto 2022 IEEE Colombian Conference on Applications of Computational Intelligence …, 2022 | 2 | 2022 |
| Application of Machine Learning algorithms for the prediction of payment by agreement in a debt collection company with the CRISP-DM methodology MC Peréz, MB Calisto, S Bonilla, D Riofrío dalam 3rd South American International Conference on Industrial Engineering …, 2022 | 2 | 2022 |
| C-MADA: unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation MGB Calisto, SK Lai-Yuen Medical Imaging 2022: Image Processing 12032, 971-978, 2022 | 2 | 2022 |
| C-MADA: Unsupervised cross-modality adversarial domain adaptation framework for medical image segmentation M Baldeon-Calisto, SK Lai-Yuen arXiv preprint arXiv:2110.15823, 2021 | 2 | 2021 |
| Análisis estadístico de accidentalidad laboral del Ecuador y comparación con la accidentalidad laboral de Colombia del año 2013 MG Baldeón Calisto Quito: USFQ, 2014, 2014 | 2 | 2014 |
| StAC-DA: Structure aware cross-modality domain adaptation framework with image and feature-level adaptation for medical image segmentation M Baldeon-Calisto, SK Lai-Yuen, B Puente-Mejia Digital health 10, 20552076241277440, 2024 | 1 | 2024 |
| Distilling vision transformers for no-reference perceptual CT image quality assessment MGB Calisto, F Rivera-Velastegui, SK Lai-Yuen, D Riofrío, N Pérez-Pérez, ... Medical Imaging 2024: Image Processing 12926, 244-251, 2024 | 1 | 2024 |
| On the Use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon MJ Zurita, D Riofrío, N Pérez-Pérez, D Romo, DS Benítez, RF Moyano, ... IEEE Colombian Conference on Applications of Computational Intelligence, 84-103, 2023 | 1 | 2023 |
| Predicting COVID-19 Cases using Deep LSTM and CNN Models F Puente, N Pérez, D Benítez, F Grijalva, D Riofrío, M Baldeon-Calisto, ... 2023 IEEE Colombian Conference on Applications of Computational Intelligence …, 2023 | 1 | 2023 |
Susana Lai-YuenAssociate Professor, University of South Florida在 usf.edu 的电子邮件经过验证
