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20202026
most citedAutomated segmentation and morphological characterization of placental histology images based on a single labeled image

1 citations · 2 across the 9 of their papers we have counts for

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cs.CV2026

SAFViT: Spatial Attention Fusion Gating for Vision Transformer-Based Nucleus Segmentation and Classification

Harshit Mittal, Arash Rabbani

Accurate cell segmentation and classification are foundational to digital pathology, enabling quantitative tissue analysis for diagnosis and treatment planning. Encoder-decoder arc…

cs.CV2026

Property-Constrained 3D Porous Media Reconstruction from 2D Images via Conditional Generative Adversarial Networks

Ali Sadeghkhani, Brandon Bennett, Arash Rabbani

This study presents a conditional Generative Adversarial Network (cGAN) framework for generating 3D porous media volumes with controlled porosity, trained exclusively on 2D thin se…

cs.CV2026

A Decade of Generative Adversarial Networks for Porous Material Reconstruction

Ali Sadeghkhani, Brandon Bennett, Masoud Babaei +1

Digital reconstruction of porous materials has become increasingly critical for applications ranging from geological reservoir characterization to tissue engineering and electroche…

cs.CV2025

PCP-GAN: Property-Constrained Pore-scale image reconstruction via conditional Generative Adversarial Networks

Ali Sadeghkhani, Brandon Bennett, Masoud Babaei +1

Obtaining truly representative pore-scale images that match bulk formation properties remains a fundamental challenge in subsurface characterization, as natural spatial heterogenei…

cs.CV2022

DeepAngle: Fast calculation of contact angles in tomography images using deep learning

Arash Rabbani, Chenhao Sun, Masoud Babaei +3

DeepAngle is a machine learning-based method to determine the contact angles of different phases in the tomography images of porous materials. Measurement of angles in 3--D needs t…