Congratulations to @weimin_lyu on receiving the prestigious Catacosinos Fellowship, awarded annually to outstanding PhD students. Over the past three years, Weimin has published seven first-author papers in top venues including ICLR, ECCV, NAACL, EMNLP, and AMIA, with research

Attending #CVPR2025? Please check out our paper on MERGE, a multi-faceted hierarchical graph GNN for predicting gene expression from histopathology images. Congratulations to Aniruddha Ganguly for the amazing work. Please come to our poster at Session 3, Poster 475 Saturday

Attending #CVPR2025? Please check out our paper on TopoCellGen. We propose the first diffusion network for cell topology generation, based on topological data analysis (TDA). The paper was selected for an oral presentation, an honor awarded to only about 0.7% of submissions.

Attending #ICLR ? Please check out our paper studying the geometry of long-tailed representation learning. We provide theoretical insights into the skewed representation, as well as a practical algorithm to mitigate the issue. Poster: Thu 24 Apr 3 - 5:30 PM, Hall 3 + Hall 2B

Attending #ICLR ? Please check out our paper on TopoDiffusionNet. We propose a novel method for training diffusion models that enables precise control over the generated topology, based on topological data analysis (TDA). Poster: Thu, Apr. 24, 3-5 p.m, Hall 3 + Hall 2B #162

Attending #ICLR ? Please check out our paper on VLOOD. We propose a novel method for conducting backdoor attacks on vision-language models, with a particular focus on out-of-distribution datasets. Poster: Fri 25 Apr 10 - 12:30, Hall 3 + Hall 2B #298 https://t.co/K2D4T3rpfS

So true.......

Our #MICCAI2024 workshop on topology-informed image analysis just started. We have a full house! Aasa Feragen is talking about topoloy-preserving segmenting fetal cervical structures! https://t.co/RcG71cF0kE

Assoc Prof @ChaoChenSBU & Assist Prof @PrateekPrasana are developing TopoQuant, a suite of informatics tools for breast tissue images, supported by a new @theNCI $1.2M grant! @ceassbu @sbubmi https://t.co/P8ZL8MPKpe

If you are attending #MICCAI2024, please join us at our Workshop on Topology- and Graph-Informed Imaging Informatics (TGI3). The central theme is to explore rich topology and graph information in image analytics. https://t.co/RcG71cEsv6

Check out our new #MICCAI2024 paper on using diffusion model to generate cell layouts for tumor microenvironment. Conditioning on cell counts and cell density turns out to be a powerful trick. #DigitalPathology #diffusion

Check out our new #MICCAI2024 paper on learning better representations of pathology images through hard negative sample mining. Focusing on negative samples can significantly improve learning efficiency. #DigitalPathology

Check out our new #MICCAI2024 paper on disentangling pathology image features. #DigitalPathology

Please check out our #ECCV2024 paper studying the vulnerability of vision language model #VLM. Done by our amazing student @weimin_lyu . The paper can be found at https://t.co/3rNklwbtsN

Check out our #ECCV2024 paper. We propose topological consistency loss for semi-supervised segmentation. This was applied to #ComputationalPathology, but can apply to many other problems. Paper and code can be found at https://t.co/wpTHIx4cbe

Professor Chao Chen (l) and Assistant Professor Prateek Prasanna in the Department of Biomedical Informatics are developing a new way to analyze breast cancer imaging that incorporates mathematical modeling and deep learning. https://t.co/HBf4InvTMG #stonybrooku

So excited to start our project funded by @NIH @theNCI with @PrateekPrasana and collaborators. We will develop topological methods for breast cancer research. #topology

🚨 Exciting news! The submission deadline for our ADSMI workshop is now extended to June 29 (23:59 PST), 2024. Plus, we're thrilled to announce a Best Paper Award 🏆 sponsored by @NetmindAi, with a $500 prize! Stay tuned for more updates. #MICCAI2024