To explore and access all our software tools, please visit our lab's GitHub repository:  https://github.com/NabaviLab

 

Quantum Information-Inspired Distance Functions for Siamese Networks in Longitudinal Mammogram Imaging

https://github.com/NabaviLab/Quantum-Information-Inspired-Distance-Functions-

 

SSIM: A Fused Attention-based Hybrid Model for Semi-Supervised Medical Image Segmentation

https://github.com/NabaviLab/SSIM

 

Histo-LLM: Cross-Modal Prostate Cancer Grading (WSI + LLM Prompts)

https://github.com/NabaviLab/Histo-LLM

 

Teacher in the Loop, Student on Time: Policy-Guided Continual Learning from Prior–Current Mammograms

https://github.com/NabaviLab/Teacher-in-the-Loop-Student-on-Time

 

SynGAN: A GAN + Transformer-based architecture for synthesizing tumors in mammograms using prior and current images

https://github.com/NabaviLab/SynGAN

 

Bayesian Transformers + Higher-Order Graph Matching for Cell Tracking

https://github.com/NabaviLab/bayesian-transformer-cell-tracking

 

IRM-GLAT: Prostate Cancer Grading using GLAT & IRM

https://github.com/NabaviLab/IRM-GLAT

 

A Multimodal Graph Neural Network Framework for Cancer Molecular Subtype Classification

https://github.com/NabaviLab/Multimodal-GNN-for-Cancer-Subtype-Clasification

 

MGSeg: Segmentation for Early Tumor Detection in Mammograms via Temporal Discrepancy Analysis

https://github.com/NabaviLab/MGSeg

 

stMMC: Spatial Transcriptomics Multi-modal Clustering

https://github.com/NabaviLab/stMMC

 

Benchmarking Distance Functions in Siamese Networks for Accurate Mammogram Image Analysis

https://github.com/NabaviLab/Benchmarking_Distance_Functions_in_Siamese_Networks

 

SynGANMod: Tumor Generation in Longitudinal Mammograms via Transformer GAN with Adaptive Blending

https://github.com/NabaviLab/SynGANMod

 

DCCNV: Denoising and Circular Binary Segmentation for CNV Detection

https://github.com/NabaviLab/DCCNV

 

SEACON: A tool for allele-specific copy number profiling

https://github.com/NabaviLab/SEACON

 

CAPTURE: A Clustered Adaptive Patchwork Technique for Unified Registration Enhancement in Biological Imaging

https://github.com/NabaviLab/CAPTURE

 

"3D Biological/Biomedical Image Registration with enhanced Feature Extraction and Outlier Detection", S. Hamzehei, et al., 2023.

https://github.com/NabaviLab/Image_Registration_Platform

 

“SigEMD: A powerful method for differential gene expression analysis in single-cell RNA sequencing data,” T. Wang, S. Nabavi, 2018.

https://github.com/NabaviLab/SigEMD

 

“VarSimLab: A pipeline to automatically synthesize short reads with genomic aberrations”, A. Hosny, F. Zare,  S. Nabavi, 2017.

https://github.com/NabaviLab/VarSimLab

 

“CNV-Sim: a copy number variation simulator for whole-genome and targeted sequencing”, A. Hosny, F. Zare,  S. Nabavi, 2016.

https://nabavilab.github.io/CNV-Sim/

 

“EMDomics: An R Package for differential analysis of genomics data.” D. Schmolze, S. Nabavi, and A. H. Beck, Bioconductor, 2015.

http://www.bioconductor.org/packages/release/bioc/html/EMDomics.html