Tony Xu - RankMe

14 papers Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction. CoRR 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
2026	J	`jnl`	Uncertainty and Fairness Awareness in LLM-Based Recommendation Systems. CoRR Chandan Kumar Sah, Xiaoli Lian, Li Zhang, Tony Xu, Syed Shazaib Shah
2025	J	`jnl`	A generalizable 3D framework and model for self-supervised learning in medical imaging. CoRR Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran
2025	J	`jnl`	A generalizable 3D framework and model for self-supervised learning in medical imaging. npj Digit. Medicine Tony Xu, Sepehr Hosseini, Chris Anderson, Anthony Rinaldi, Rahul G. Krishnan, Anne L. Martel, Maged Goubran
2025	J	`jnl`	EDAmame: interactive exploratory data analyses with explainable models. Bioinform. Aaron Chuah, Tim Hewitt, Sidra A. Ali, Maryam May, Tony Xu, Daniel Christiadi, Philip Y.-I Choi, Elizabeth E. Gardiner, T. Daniel Andrews
2025	J	`jnl`	FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness. CoRR Chandan Kumar Sah, Xiaoli Lian, Tony Xu, Li Zhang
2025	J	`jnl`	ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology. CoRR Vishwesh Ramanathan, Tony Xu, Pushpak Pati, Faruk Ahmed, Maged Goubran, Anne L. Martel
2025	J	`jnl`	SELMA3D challenge: Self-supervised learning for 3D light-sheet microscopy image segmentation. CoRR 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
2024	—	`conf`	Detecting Noisy Labels with Repeated Cross-Validations. MICCAI (10) Jianan Chen, Vishwesh Ramanathan, Tony Xu, Anne L. Martel
2023	—	`conf`	Masked Image Modeling for Label-Efficient Segmentation in Two-Photon Excitation Microscopy. MILLanD@MICCAI Tony Xu, Matthew Rozak, Emmanuel E. Ntiri, Adrienne Dorr, James R. Mester, Bojana Stefanovic, Anne L. Martel, Maged Goubran
2020	J	`jnl`	Meta-Learning One-Class Classification with DeepSets: Application in the Milky Way. CoRR Ademola Oladosu, Tony Xu, Philip Ekfeldt, Brian A. Kelly, Miles D. Cranmer, Shirley Ho, Adrian M. Price-Whelan, Gabriella Contardo
2020	J	`jnl`	Overcoming the limitations of patch-based learning to detect cancer in whole slide images. CoRR Ozan Ciga, Tony Xu, Sharon Nofech-Mozes, Shawna Noy, Fang-I Lu, Anne L. Martel
2020	J	`jnl`	Self supervised contrastive learning for digital histopathology. CoRR Ozan Ciga, Anne L. Martel, Tony Xu
2019	J	`jnl`	Procella: Unifying serving and analytical data at YouTube. Proc. VLDB Endow. 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