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ORCIDPedro R. A. S. Bassi
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2020 – today
- 2025
[c3]Pedro R. A. S. Bassi
, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou:
Label Critic: Design Data Before Models. ISBI 2025: 1-5- [c2]Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Learning Segmentation from Radiology Reports. MICCAI (5) 2025: 305-315 - [i18]Wenxuan Li, Pedro R. A. S. Bassi, Tianyu Lin, Yu-Cheng Chou, Xinze Zhou, Yucheng Tang, Fabian Isensee, Kang Wang, Qi Chen, Xiaowei Xu, Xiaoxi Chen, Lizhou Wu, Qilong Wu, Yannick Kirchhoff, Maximilian Rokuss, Saikat Roy, Yuxuan Zhao, Dexin Yu, Kai Ding, Constantin Ulrich, Klaus H. Maier-Hein, Yang Yang, Alan L. Yuille, Zongwei Zhou:
ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models. CoRR abs/2501.03410 (2025) - [i17]Pedro R. A. S. Bassi, Mehmet Can Yavuz, Kang Wang, Xiaoxi Chen, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Yang Yang, Alan L. Yuille, Zongwei Zhou:
RadGPT: Constructing 3D Image-Text Tumor Datasets. CoRR abs/2501.04678 (2025) - [i16]Pengfei Guo, Can Zhao, Dong Yang, Yufan He, Vishwesh Nath, Ziyue Xu, Pedro R. A. S. Bassi, Zongwei Zhou, Benjamin Simon, Stephanie Anne Harmon, Baris Turkbey, Daguang Xu:
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. CoRR abs/2505.04522 (2025) - [i15]Yixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi, Xinze Zhou, Sezgin Er, Ibrahim Ethem Hamamci, Zongwei Zhou, Alan L. Yuille:
Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering. CoRR abs/2505.18915 (2025) - [i14]Wenxuan Li, Xinze Zhou, Qi Chen, Tianyu Lin, Pedro R. A. S. Bassi, Szymon Plotka, Jaroslaw B. Cwikla, Xiaoxi Chen, Chen Ye, Zheren Zhu, Kai Ding, Heng Li, Kang Wang, Yang Yang, Yucheng Tang, Daguang Xu, Alan L. Yuille, Zongwei Zhou:
PanTS: The Pancreatic Tumor Segmentation Dataset. CoRR abs/2507.01291 (2025) - [i13]Pedro R. A. S. Bassi, Wenxuan Li, Jieneng Chen, Zheren Zhu, Tianyu Lin, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Learning Segmentation from Radiology Reports. CoRR abs/2507.05582 (2025) - [i12]Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon Plotka, Jieneng Chen, Qi Chen, Zheren Zhu, Jakub Przado, Ibrahim E. Hamaci, Sezgin Er, Yuhan Wang, Ashwin Kumar, Björn H. Menze, Jaroslaw B. Cwikla, Yuyin Zhou, Akshay S. Chaudhari, Curtis P. Langlotz, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou:
Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks. CoRR abs/2510.14803 (2025) - 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) - [c1]Pedro R. A. S. Bassi, Wenxuan Li, Yucheng Tang, Fabian Isensee, Zifu Wang, Jieneng Chen, Yu-Cheng Chou, Yannick Kirchhoff, Maximilian 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, Jia-Xin 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? NeurIPS 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 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)
Coauthor Index
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