Zuhayr Asad - RankMe

33 papers B 3Journal 16Unranked 14

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	An Accelerated Pipeline for Multi-label Renal Pathology Image Segmentation at the Whole Slide Image Level. CoRR Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo
2023	—	`conf`	An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level. Digital and Computational Pathology Haoju Leng, Ruining Deng, Zuhayr Asad, R. Michael Womick, Haichun Yang, Lipeng Wan, Yuankai Huo
2023	B	`conf`	Deep constrained spherical deconvolution for robust harmonization. Image Processing Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2023	—	`conf`	Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. MICCAI (6) Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo
2023	J	`jnl`	Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. CoRR Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo
2023	J	`jnl`	Digital Modeling on Large Kernel Metamaterial Neural Network. CoRR Quan Liu, Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo
2023	—	`conf`	Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023	J	`jnl`	Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. CoRR Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2023	—	`conf`	Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data. Digital and Computational Pathology Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo
2023	J	`jnl`	Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Trans. Biomed. Eng. Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo
2023	J	`jnl`	Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. CoRR Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Andrea T. Shafer, Susan M. Resnick, Kurt Schilling, Bennett A. Landman, Yuankai Huo
2022	—	`conf`	CircleSnake: Instance Segmentation with Circle Representation. MLMI@MICCAI Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo
2022	J	`jnl`	CircleSnake: Instance Segmentation with Circle Representation. CoRR Ethan H. Nguyen, Haichun Yang, Zuhayr Asad, Ruining Deng, Agnes B. Fogo, Yuankai Huo
2022	J	`jnl`	Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo
2022	J	`jnl`	Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review. CoRR Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo
2022	—	`conf`	Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images. Digital and Computational Pathology Ruining Deng, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Shiru Wang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo
2022	—	`conf`	Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning. Digital and Computational Pathology Yuxuan Shi, Quan Liu, Jiachen Xu, Zuhayr Asad, Can Cui, Hernán Correa, Yash Choksi, Girish Hiremath, Yuankai Huo
2022	B	`conf`	Evaluating transformer-based semantic segmentation networks for pathological image segmentation. Image Processing Cam Nguyen, Zuhayr Asad, Ruining Deng, Yuankai Huo
2022	J	`jnl`	Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining. CoRR Tianyuan Yao, Yuzhe Lu, Jun Long, Aadarsh Jha, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Agnes B. Fogo, Yuankai Huo
2022	J	`jnl`	Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification. CoRR Yuzhe Lu, Haichun Yang, Zuhayr Asad, Zheyu Zhu, Tianyuan Yao, Jiachen Xu, Agnes B. Fogo, Yuankai Huo
2022	B	`conf`	Integrate memory efficiency methods for self-supervised learning on pathological image analysis. Image Processing Quan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
2022	—	`conf`	Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. MIUA Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo
2022	—	`conf`	Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. REMIA@MICCAI Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo
2022	—	`conf`	MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images. ISBI Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo
2022	J	`jnl`	MAg: a simple learning-based patient-level aggregation method for detecting microsatellite instability from whole-slide images. CoRR Kaifeng Pang, Zuhayr Asad, Shilin Zhao, Yuankai Huo
2022	—	`conf`	Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Computer-Aided Diagnosis Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo
2022	J	`jnl`	Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation. CoRR Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo
2022	—	`conf`	Self-supervised learning with large-scale web image mining for characterizing glomerular lesions. Digital and Computational Pathology Tianyuan Yao, Yuzhe Lu, Ruining Deng, Zheyu Zhu, Zuhayr Asad, Haichun Yang, Lee E. Wheless, Agnes B. Fogo, Yuankai Huo
2022	—	`conf`	Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. MIDL Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo
2022	—	`conf`	Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. MICCAI (5) Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo
2022	J	`jnl`	Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. CoRR Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo
2021	J	`jnl`	Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation. CoRR Cam Nguyen, Zuhayr Asad, Yuankai Huo
2021	J	`jnl`	Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. CoRR Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo