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Publications (17)
- Multimodal foundation transformer models for multiscale genomics Save
- Predicting and interpreting cell-type-specific drug responses in the small-data regime using inductive priors Save
- SpatialDiffusion: Predicting Spatial Transcriptomics with Denoising Diffusion Probabilistic Models Save
- Foundation Models Meet Imbalanced Single-Cell Data When Learning Cell Type Annotations Save
- LEP-AD: Language Embedding of Proteins and Attention to Drugs predicts drug target interactions Save
- scAEGAN: Unification of single-cell genomics data by adversarial learning of latent space correspondences Save
- Skin Lesion Segmentation Based on Vision Transformers and Convolutional Neural Networks—A Comparative Study Save
- Rheological Behavior of scCO2-Foam for Improved Hydrocarbon Recovery: Experimental and Deep Learning Approach Save
- A Modified HSIFT Descriptor for Medical Image Classification of Anatomy Objects Save
- Deep Learning Approach to Predict Rheological Behavior of scCO Foam Fracturing Fluid Under Different Operating Conditions Save