5 papers
Beyond the Monitor: Mixed Reality Visualization and Multimodal AI for Enhanced Digital Pathology Workflow
Jai Prakash Veerla, Partha Sai Guttikonda, Helen H. Shang +3
Pathologists diagnose cancer using gigapixel whole-slide images (WSIs), but the current digital workflow is fragmented. These multiscale datasets often exceed 100,000 x 100,000 pix…
Cross-Domain Image Synthesis: Generating H&E from Multiplex Biomarker Imaging
Jillur Rahman Saurav, Mohammad Sadegh Nasr, Jacob M. Luber
While multiplex immunofluorescence (mIF) imaging provides deep, spatially-resolved molecular data, integrating this information with the morphological standard of Hematoxylin & Eos…
Robust Learning on Noisy Graphs via Latent Space Constraints with External Knowledge
Chunhui Gu, Mohammad Sadegh Nasr, James P. Long +2
Graph Neural Networks (GNNs) often struggle with noisy edges. We propose Latent Space Constrained Graph Neural Networks (LSC-GNN) to incorporate external "clean" links and guide em…
Dual Codebook VQ: Enhanced Image Reconstruction with Reduced Codebook Size
Parisa Boodaghi Malidarreh, Jillur Rahman Saurav, Thuong Le Hoai Pham +5
Vector Quantization (VQ) techniques face significant challenges in codebook utilization, limiting reconstruction fidelity in image modeling. We introduce a Dual Codebook mechanism…
Predicting Future States with Spatial Point Processes in Single Molecule Resolution Spatial Transcriptomics
Biraaj Rout, Priyanshi Borad, Parisa Boodaghi Malidarreh +6
In this paper, we introduce a pipeline based on XGboost to predict the future distribution of cells that are expressed by the Sog-D gene (active cells) in both the Anterior to post…