TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction.
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,
,
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,
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,
,
,
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Medical Image Anal., 2024
Modern Hopfield Networks meet Encoded Neural Representations - Addressing Practical Considerations.
CoRR, 2024
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesis.
CoRR, 2024
Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination.
CoRR, 2024
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation.
CoRR, 2024
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
Data-free Model Fusion with Generator Assistants.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Segmentation-Free PVC for Cardiac SPECT Using a Densely-Connected Multi-Dimensional Dynamic Network.
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,
,
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IEEE Trans. Medical Imaging, May, 2023
TAI-GAN: Temporally and Anatomically Informed GAN for Early-to-Late Frame Conversion in Dynamic Cardiac PET Motion Correction.
,
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Simulation and Synthesis in Medical Imaging, 2023
Correlation Guided Multi-teacher Knowledge Distillation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Approximate computation based on NAND-SPIN MRAM for CNN on-chip training.
Proceedings of the 17th ACM International Symposium on Nanoscale Architectures, 2022
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding.
Proceedings of the Machine Learning for Healthcare Conference, 2022
Automatic Inter-Frame Patient Motion Correction for Dynamic Cardiac PET Using Deep Learning.
IEEE Trans. Medical Imaging, 2021
Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging.
Proceedings of the Medical Imaging 2021: Biomedical Applications in Molecular, 2021
Direct List Mode Parametric Reconstruction for Dynamic Cardiac SPECT.
IEEE Trans. Medical Imaging, 2020
Automatic Diagnosis of Pulmonary Embolism Using an Attention-guided Framework: A Large-scale Study.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020
A Novel Loss Function Incorporating Imaging Acquisition Physics for PET Attenuation Map Generation Using Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Artifact Suppressed Dictionary Learning for Low-Dose CT Image Processing.
IEEE Trans. Medical Imaging, 2014
Low-dose CT image processing using artifact suppressed dictionary learning.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014