Development and validation of peritumoral vascular and intratumoral radiomics to predict pathologic complete responses to neoadjuvant chemotherapy in patients with triple-negative breast cancer.
BMC Medical Imaging, December, 2024
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition.
J. Comput. Sci., 2024
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding.
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CoRR, 2024
JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation.
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CoRR, 2024
Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation.
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CoRR, 2024
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots.
CoRR, 2024
Adapting LLaMA Decoder to Vision Transformer.
CoRR, 2024
Image-guided patient-specific optimization of catheter placement for convection-enhanced nanoparticle delivery in recurrent glioblastoma.
Comput. Biol. Medicine, 2024
Automatic time series forecasting model design based on pruning.
Appl. Soft Comput., 2024
Hierarchical Diffusion Autoencoders and Disentangled Image Manipulation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
FiT: Flexible Vision Transformer for Diffusion Model.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
LLaMA Pro: Progressive LLaMA with Block Expansion.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Inferring CTCF-binding patterns and anchored loops across human tissues and cell types.
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Patterns, August, 2023
Assessing the identifiability of model selection frameworks for the prediction of patient outcomes in the clinical breast cancer setting.
J. Comput. Sci., May, 2023
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas.
Frontiers Artif. Intell., February, 2023
Optimized Patient-Specific Catheter Placement for Convection-Enhanced Nanoparticle Delivery in Recurrent Glioblastoma.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
π-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation.
Proceedings of the International Conference on Machine Learning, 2023
Towards Patient-Specific Optimization of Neoadjuvant Treatment Protocols for Breast Cancer Based on Image-Guided Fluid Dynamics.
IEEE Trans. Biomed. Eng., 2022
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning.
CoRR, 2022
A 1D-0D-3D coupled model for simulating blood flow and transport processes in breast tissue.
CoRR, 2022
Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning.
Proceedings of the 4th International Conference on Data Intelligence and Security, 2022
NTIRE 2022 Image Inpainting Challenge: Report.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
An <i>in silico</i> validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.
Medical Image Anal., 2021
Patient-Specific Characterization of Breast Cancer Hemodynamics Using Image-Guided Computational Fluid Dynamics.
IEEE Trans. Medical Imaging, 2020