Pedro R. A. S. Bassi

According to our database, Pedro R. A. S. Bassi authored at least 18 papers between 2020 and 2025.

Collaborative distances:

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

2025

Learning Segmentation from Radiology Reports.

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

CoRR, July, 2025

PanTS: The Pancreatic Tumor Segmentation Dataset.

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

CoRR, July, 2025

Are Vision Language Models Ready for Clinical Diagnosis? A 3D Medical Benchmark for Tumor-centric Visual Question Answering.

Yixiong Chen, Wenjie Xiao, Pedro R. A. S. Bassi, Xinze Zhou, Sezgin Er, Ibrahim Ethem Hamamci, Zongwei Zhou, Alan L. Yuille

CoRR, May, 2025

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model.

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

CoRR, May, 2025

RadGPT: Constructing 3D Image-Text Tumor Datasets.

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

CoRR, January, 2025

ScaleMAI: Accelerating the Development of Trusted Datasets and AI Models.

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

CoRR, January, 2025

Label Critic: Design Data Before Models.

Pedro R. A. S. Bassi, Qilong Wu, Wenxuan Li, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking.

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

Medical Image Anal., 2024

Text-Driven Tumor Synthesis.

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

CoRR, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

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

CoRR, 2024

Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning.

Pedro R. A. S. Bassi, Andrea Cavalli, Sergio Decherchi

CoRR, 2024

Faster ISNet for Background Bias Mitigation on Deep Neural Networks.

Pedro R. A. S. Bassi, Sergio Decherchi, Andrea Cavalli

IEEE Access, 2024

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection.

Pedro R. A. S. Bassi

CoRR, 2022

2021

FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces.

Pedro R. A. S. Bassi, Romis Attux

CoRR, 2021

COVID-19 detection using chest X-rays: is lung segmentation important for generalization?

Pedro R. A. S. Bassi, Romis Attux

CoRR, 2021

Transfer learning and SpecAugment applied to SSVEP based BCI classification.

Pedro R. A. S. Bassi, Willian Rampazzo, Romis Attux

Biomed. Signal Process. Control., 2021

2020

A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays.

Pedro R. A. S. Bassi, Romis Attux

CoRR, 2020