6 citations · 11 across the 8 of their papers we have counts for
10 papers
Towards Trustworthy Biological Alignment in TabPFN-Probed Pathology Foundation Models
Ushashi Bhattacharjee, Alloy Das, Saria Hannan +3
Histology and transcriptomics provide complementary views of tissue biology, capturing spatial morphology and molecular activity, respectively. Pathology foundation models (PFMs) l…
In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy
Shreyan Ganguly, Angona Biswas, Jaydeep Rade +9
Foundation vision-language models (VLMs) excel on natural images, but their utility for biomedical microscopy remains underexplored. In this paper, we investigate how in-context le…
ProFusion: 3D Reconstruction of Protein Complex Structures from Multi-view AFM Images
Jaydeep Rade, Md Hasibul Hasan Hasib, Meric Ozturk +8
AI-based in silico methods have improved protein structure prediction but often struggle with large protein complexes (PCs) involving multiple interacting proteins due to missing 3…
3D Multiphase Heterogeneous Microstructure Generation Using Conditional Latent Diffusion Models
Nirmal Baishnab, Ethan Herron, Aditya Balu +3
The ability to generate 3D multiphase microstructures on-demand with targeted attributes can greatly accelerate the design of advanced materials. Here, we present a conditional lat…
Procedural Generation of 3D Maize Plant Architecture from LIDAR Data
Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen +8
This study introduces a robust framework for generating procedural 3D models of maize (Zea mays) plants from LiDAR point cloud data, offering a scalable alternative to traditional…
FlowBench: A Large Scale Benchmark for Flow Simulation over Complex Geometries
Ronak Tali, Ali Rabeh, Cheng-Hau Yang +10
Simulating fluid flow around arbitrary shapes is key to solving various engineering problems. However, simulating flow physics across complex geometries remains numerically challen…
3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs)
Jaydeep Rade, Ethan Herron, Soumik Sarkar +2
Recent advancements in deep learning for predicting 3D protein structures have shown promise, particularly when leveraging inputs like protein sequences and Cryo-Electron microscop…
Evaluating Neural Radiance Fields (NeRFs) for 3D Plant Geometry Reconstruction in Field Conditions
Muhammad Arbab Arshad, Talukder Jubery, James Afful +5
We evaluate different Neural Radiance Fields (NeRFs) techniques for the 3D reconstruction of plants in varied environments, from indoor settings to outdoor fields. Traditional meth…
Active shooter detection and robust tracking utilizing supplemental synthetic data
Joshua R. Waite, Jiale Feng, Riley Tavassoli +4
The increasing concern surrounding gun violence in the United States has led to a focus on developing systems to improve public safety. One approach to developing such a system is…
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge
Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo +4
Crop yield forecasting is the methodology of predicting crop yields prior to harvest. The availability of accurate yield prediction frameworks have enormous implications from multi…