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2020 – today
- 2024
[j3]Pedro R. A. S. Bassi
, Sergio Decherchi, Andrea Cavalli:
Faster ISNet for Background Bias Mitigation on Deep Neural Networks. IEEE Access 12: 155151-155167 (2024)- [j2]Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou:
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking. Medical Image Anal. 97: 103285 (2024) - [i11]Pedro R. A. S. Bassi, Sergio Decherchi, Andrea Cavalli:
Faster ISNet for Background Bias Mitigation on Deep Neural Networks. CoRR abs/2401.08409 (2024) - [i10]Pedro R. A. S. Bassi, Andrea Cavalli, Sergio Decherchi:
Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning. CoRR abs/2407.09788 (2024) - [i9]Wenxuan Li, Chongyu Qu, Xiaoxi Chen, Pedro R. A. S. Bassi, Yijia Shi, Yuxiang Lai, Qian Yu, Huimin Xue, Yixiong Chen, Xiaorui Lin, Yutong Tang, Yining Cao, Haoqi Han, Zheyuan Zhang, Jiawei Liu, Tiezheng Zhang, Yujiu Ma, Jincheng Wang, Guang Zhang, Alan L. Yuille, Zongwei Zhou:
AbdomenAtlas: A Large-Scale, Detailed-Annotated, & Multi-Center Dataset for Efficient Transfer Learning and Open Algorithmic Benchmarking. CoRR abs/2407.16697 (2024) - [i8]Pedro R. A. S. Bassi, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Label Critic: Design Data Before Models. CoRR abs/2411.02753 (2024) - [i7]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian R. Rokuss, Ziyan Huang, Jin Ye, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR abs/2411.03670 (2024) - [i6]Xinran Li, Yi Shuai, Chen Liu, Qi Chen, Qilong Wu, Pengfei Guo, Dong Yang, Can Zhao, Pedro R. A. S. Bassi, Daguang Xu, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Text-Driven Tumor Synthesis. CoRR abs/2412.18589 (2024) - 2022
- [i5]Pedro R. A. S. Bassi:
ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection. CoRR abs/2202.00232 (2022) - 2021
- [j1]Pedro R. A. S. Bassi, Willian Rampazzo, Romis Attux:
Transfer learning and SpecAugment applied to SSVEP based BCI classification. Biomed. Signal Process. Control. 67: 102542 (2021) - [i4]Pedro R. A. S. Bassi, Romis Attux:
COVID-19 detection using chest X-rays: is lung segmentation important for generalization? CoRR abs/2104.06176 (2021) - [i3]Pedro R. A. S. Bassi, Romis Attux:
FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces. CoRR abs/2109.02165 (2021) - 2020
- [i2]Pedro R. A. S. Bassi, Romis Attux:
A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays. CoRR abs/2005.01578 (2020) - [i1]Pedro R. A. S. Bassi, Willian Rampazzo, Romis Attux:
Transfer Learning and SpecAugment applied to SSVEP Based BCI Classification. CoRR abs/2010.06503 (2020)
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