Yucheng Tang
Orcid: 0000-0002-6008-9700
According to our database1,
Yucheng Tang
authored at least 80 papers
between 2017 and 2024.
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Bibliography
2024
CoRR, 2024
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement.
CoRR, 2024
2023
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation.
Medical Image Anal., December, 2023
IEEE J. Biomed. Health Informatics, September, 2023
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives.
Medical Image Anal., April, 2023
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization.
CoRR, 2023
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration.
CoRR, 2023
Leverage Weakly Annotation to Pixel-wise Annotation via Zero-shot Segment Anything Model for Molecular-empowered Learning.
CoRR, 2023
High-performance Data Management for Whole Slide Image Analysis in Digital Pathology.
CoRR, 2023
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.
CoRR, 2023
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images.
CoRR, 2023
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning.
CoRR, 2023
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning.
CoRR, 2023
CoRR, 2023
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging.
CoRR, 2023
AbdomenAtlas-8K: Annotating 8, 000 CT Volumes for Multi-Organ Segmentation in Three Weeks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation.
Proceedings of the Medical Imaging 2023: Image Processing, 2023
PLD-AL: Pseudo-label Divergence-Based Active Learning in Carotid Intima-Media Segmentation for Ultrasound Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 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
Reachability-Aware Collision Avoidance for Tractor-Trailer System with Non-Linear MPC and Control Barrier Function.
IROS, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
Towards Flexible Manufacturing: Motion Generation Concept for Coupled Multi-Robot Systems.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023
2022
J. Intell. Robotic Syst., 2022
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation.
CoRR, 2022
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging.
CoRR, 2022
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation.
CoRR, 2022
Comput. Biol. Medicine, 2022
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model.
Comput. Biol. Medicine, 2022
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Extending the value of routine lung screening CT with quantitative body composition assessment.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas.
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Proceedings of the Medical Imaging 2022: Image Processing, 2022
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging.
Proceedings of the Medical Optical Imaging and Virtual Microscopy Image Analysis, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Medical Image Anal., 2021
CoRR, 2021
CoRR, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the Interactive Collaborative Robotics - 6th International Conference, 2021
Proceedings of the MICCAI Workshop on Computational Pathology, 2021
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021
2020
Neurocomputing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Validation and optimization of multi-organ segmentation on clinical imaging archives.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging.
Proceedings of the Medical Imaging 2020: Image Processing, 2020
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.
Proceedings of the Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures, 2020
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2019
CoRR, 2019
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE.
CoRR, 2019
Improving splenomegaly segmentation by learning from heterogeneous multi-source labels.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
2018
Soft Comput., 2018
More Knowledge Is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017