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DatePresentor 1Presenter 2TopicPaperSlidesPaper link
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01/09Organizational Meeting
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1/16Addie Woicik Ethan Shen
Unsupervised Medical Image Translation With Adversarial Diffusion Models (IEEE Transactions on Medical Imaging)
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01/23Mahtab BigverdiEthan WeinbergerPredicting cell morphological responses to perturbations using generative modeling (bioRxiv 2023)
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01/30Xinming TuYilun Sheng; Shengqi HangCell type directed design of synthetic enhancers (Nature, 2023)
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02/06Hanwen XuSoham GadgilAmbiguous Medical Image Segmentation Using Diffusion Models (CVPR 2023)
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2/13Saba HeraviAmmar Tahir
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records (Nature communications, 2023)
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02/20Patrick YuWei QIuUniversal Cell Embeddings: A Foundation Model for Cell Biology (bioRxiv '23)
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2/27Radhika Sethi, Pavan AnandDivyam AgrawalGenerative models improve fairness of medical classifiers under distribution shifts
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03/05James JohnsonShreemit Garimella Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
(Nature communications, 2023)
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Paper suggestions (theme - generative AI in biomedicine)
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Your namesAre you interested in presenting?
Prefered dates (optional)
Paper title & link
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1Ethan WeinbergerModeling Cellular Perturbations with Sparse Additive Mechanism Shift Variational Autoencoder (NeurIPS 2023)
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2Ethan WeinbergerPredicting cell morphological responses to perturbations using generative modeling (bioRxiv 2023)
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3Ethan WeinbergerDeep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells (Nature Methods 2023)
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4Chanwoo KimIntegrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope
(Nature communications, 2023)
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5Chanwoo Kim
TransformEHR: transformer-based encoder-decoder generative model to enhance prediction of disease outcomes using electronic health records (Nature communications, 2023)
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6Chanwoo KimIlluminating protein space with a programmable generative model (Nature, 2023)
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7Soham GadgilGenerative models improve fairness of medical classifiers under distribution shifts
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8Soham Gadgil
EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records (npj Digital Medicine 2023)
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9Soham Gadgil
Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications (npj Digital Medicine 2023)
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10Patrick Yu
Generative modeling of single-cell gene expression for dose-dependent chemical perturbations (Cell Patterns 2023)
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11Patrick YuCellPLM: Pre-training of Cell Language Model Beyond Single Cells (under review, ICLR'24)
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12Patrick YuUniversal Cell Embeddings: A Foundation Model for Cell Biology (bioRxiv '23)
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13Mingyu LuAligning Synthetic Medical Images with Clinical Knowledge using Human Feedback (Neurips spotlight 2023)
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14Mingyu LuHealth system-scale language models are all-purpose prediction engines (Nature 2023)
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15Wei Qiu
Unsupervised Medical Image Translation With Adversarial Diffusion Models (IEEE Transactions on Medical Imaging)
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16Wei QiuAmbiguous Medical Image Segmentation Using Diffusion Models (CVPR 2023)
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17Xinming TuCell type directed design of synthetic enhancers(Nature, 2023)
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