A Deep Convolutional Neural Network for COVID-19 Detection Using Chest X-Rays. - Pedro R. A. S. Bassi; Romis Attux (CoRR, 2020)

Transfer learning and SpecAugment applied to SSVEP based BCI classification. - Pedro R. A. S. Bassi; Willian Rampazzo; Romis Attux (Biomed. Signal Process. Control., 2021)

COVID-19 detection using chest X-rays: is lung segmentation important for generalization? - Pedro R. A. S. Bassi; Romis Attux (CoRR, 2021)

FBCNN: A Deep Neural Network Architecture for Portable and Fast Brain-Computer Interfaces. - Pedro R. A. S. Bassi; Romis Attux (CoRR, 2021)

ISNet: Costless and Implicit Image Segmentation for Deep Classifiers, with Application in COVID-19 Detection. - Pedro R. A. S. Bassi (CoRR, 2022)

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 002; Junjun He; et al. (NeurIPS, 2024)

Faster ISNet for Background Bias Mitigation on Deep Neural Networks. - Pedro R. A. S. Bassi; Sergio Decherchi; Andrea Cavalli (IEEE Access, 2024)

Explanation is All You Need in Distillation: Mitigating Bias and Shortcut Learning. - Pedro R. A. S. Bassi; Andrea Cavalli; Sergio Decherchi (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 002; Junjun He; et al. (CoRR, 2024)

Text-Driven Tumor Synthesis. - Xinran Li; Yi Shuai; Chen Liu; Qi Chen; Qilong Wu; Pengfei Guo; Dong Yang 005; Can Zhao 001; Pedro R. A. S. Bassi; Daguang Xu; Kang Wang; Yang Yang 009; et al. (CoRR, 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; et al. (Medical Image Anal., 2024)

Label Critic: Design Data Before Models. - Pedro R. A. S. Bassi; Qilong Wu; Wenxuan Li; Sergio Decherchi; Andrea Cavalli; Alan L. Yuille; Zongwei Zhou (ISBI, 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; et al. (CoRR, 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 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)

Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. - Pengfei Guo; Can Zhao 001; Dong Yang 005; Yufan He; Vishwesh Nath; Ziyue Xu 001; Pedro R. A. S. Bassi; Zongwei Zhou; Benjamin Simon; Stephanie Anne Harmon; Baris Turkbey; Daguang Xu (CoRR, 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, 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; et al. (CoRR, 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 009; Alan L. Yuille; Zongwei Zhou (CoRR, 2025)