Tony Xu

According to our database, Tony Xu authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

FloatSOM: GPU-Accelerated, Distributed, Topology-Flexible Self-Organizing Maps.

Tony Xu, Sarah Klamt, Katherine Turner, Anne Brustle, Felix Marsh-Wakefield, Givanna Putri

CoRR, April, 2026

The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction.

Lidia Garrucho, Smriti Joshi, Kaisar Kushibar, Richard Osuala, Maciej Bobowicz, Xavier Bargalló, Paulius Jarusevicius, Kai Geissler, Raphael Schäfer, Muhammad Alberb, Tony Xu, Anne L. Martel, Daniel Sleiman, Navchetan Awasthi, Hadeel Awwad, Joan C. Vilanova, Robert Martí, Daan Schouten, Jeong Hoon Lee, Mirabela Rusu, Eleonora Poeta, Luisa Vargas, Eliana Pastor, Maria A. Zuluaga, Jessica Kächele, Dimitrios Bounias, Alexandra Ertl, Katarzyna Gwozdziewicz, Maria-Laura Cosaka, Pasant M. Abo-Elhoda, Sara W. Tantawy, Shorouq S. Sakrana, Norhan O. Shawky-Abdelfatah, Amr Muhammad Abdo-Salem, Androniki Kozana, Eugen Divjak, Gordana Ivanac, Katerina Nikiforaki, Michail E. Klontzas, Rosa García-Dosdá, Meltem Gulsun-Akpinar, Oguz Lafci, Carlos Martín-Isla, Oliver Díaz, Laura Igual, Karim Lekadir

CoRR, March, 2026

Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems.

Chandan Kumar Sah, Xiaoli Lian, Li Zhang, Tony Xu, Syed Shazaib Shah

CoRR, February, 2026

2025

FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness.

Chandan Kumar Sah, Xiaoli Lian, Tony Xu, Li Zhang

CoRR, April, 2025

SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation.

Ying Chen, Rami Al-Maskari, Izabela Horvath, Mayar Ali, Luciano Höher, Kaiyuan Yang, Zengming Lin, Zhiwei Zhai, Mengzhe Shen, Dejin Xun, Yi Wang, Tony Xu, Maged Goubran, Yunheng Wu, Kensaku Mori, Johannes C. Paetzold, Ali Ertürk

CoRR, January, 2025

A generalizable 3D framework and model for self-supervised learning in medical imaging.

Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran

npj Digit. Medicine, 2025

EDAmame: interactive exploratory data analyses with explainable models.

Aaron Chuah, Tim Hewitt, Sidra A. Ali, Maryam May, Tony Xu, Daniel Christiadi, Philip Y.-I Choi, Elizabeth E. Gardiner, T. Daniel Andrews

Bioinform., 2025

Modaltune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-Task Learning in Digital Pathology.

Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Detecting Noisy Labels with Repeated Cross-Validations.

Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy.

Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran

Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023

2020

Overcoming the limitations of patch-based learning to detect cancer in whole slide images.

Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel

CoRR, 2020

Self supervised contrastive learning for digital histopathology.

Ozan Ciga, Anne L. Martel, Tony Xu

CoRR, 2020

Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way.

Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo

CoRR, 2020

2019

Procella: Unifying serving and analytical data at YouTube.

Biswapesh Chattopadhyay, Priyam Dutta, Weiran Liu, Ott Tinn, Andrew McCormick, Aniket Mokashi, Paul Harvey, Hector Gonzalez, David Lomax, Sagar Mittal, Roee Ebenstein, Nikita Mikhaylin, Hung-Ching Lee, Xiaoyan Zhao, Tony Xu, Luis Perez, Farhad Shahmohammadi, Tran Bui, Neil Mckay, Selcuk Aya, Vera Lychagina, Brett Elliott

Proc. VLDB Endow., 2019