Zuhayr Asad
Orcid: 0000-0002-2401-5026
According to our database1,
Zuhayr Asad
authored at least 29 papers
between 2021 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
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2022
2023
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Bibliography
2023
IEEE Trans. Biomed. Eng., September, 2023
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.
CoRR, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.
CoRR, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
An accelerated pipeline for multi-label renal pathology image segmentation at the whole slide image level.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data.
Proceedings of the Medical Imaging 2023: Digital and Computational Pathology, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2023
2022
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
CoRR, 2022
CoRR, 2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining.
CoRR, 2022
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.
CoRR, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data.
CoRR, 2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification.
CoRR, 2022
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool.
Proceedings of the Medical Image Understanding and Analysis - 26th Annual Conference, 2022
Evaluating transformer-based semantic segmentation networks for pathological image segmentation.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Integrate memory efficiency methods for self-supervised learning on pathological image analysis.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Self-supervised learning with large-scale web image mining for characterizing glomerular lesions.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Dense multi-object 3D glomerular reconstruction and quantification on 2D serial section whole slide images.
Proceedings of the Medical Imaging 2022: Digital and Computational Pathology, 2022
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022
MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
2021
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data.
CoRR, 2021
Evaluating Transformer based Semantic Segmentation Networks for Pathological Image Segmentation.
CoRR, 2021