activity
20222025
most citedNCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images

2 citations · 3 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and Classification

Valentina Vadori, Jean-Marie Graïc, Antonella Peruffo +3

Precise segmentation and classification of cell instances are vital for analyzing the tissue microenvironment in histology images, supporting medical diagnosis, prognosis, treatmen…

cs.CV2024

Automated Classification of Cell Shapes: A Comparative Evaluation of Shape Descriptors

Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc +2

This study addresses the challenge of classifying cell shapes from noisy contours, such as those obtained through cell instance segmentation of histological images. We assess the p…

eess.IV2024

CISCA and CytoDArk0: a Cell Instance Segmentation and Classification method for histo(patho)logical image Analyses and a new, open, Nissl-stained dataset for brain cytoarchitecture studies

Valentina Vadori, Jean-Marie Graïc, Antonella Peruffo +3

Delineating and classifying individual cells in microscopy tissue images is inherently challenging yet remains essential for advancements in medical and neuroscientific research. I…

cs.CV2023

Revealing Cortical Layers In Histological Brain Images With Self-Supervised Graph Convolutional Networks Applied To Cell-Graphs

Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc +3

Identifying cerebral cortex layers is crucial for comparative studies of the cytoarchitecture aiming at providing insights into the relations between brain structure and function a…

eess.IV2023★ 2 cited

NCIS: Deep Color Gradient Maps Regression and Three-Class Pixel Classification for Enhanced Neuronal Cell Instance Segmentation in Nissl-Stained Histological Images

Valentina Vadori, Antonella Peruffo, Jean-Marie Graïc +3

Deep learning has proven to be more effective than other methods in medical image analysis, including the seemingly simple but challenging task of segmenting individual cells, an e…

eess.IV2022★ 1 cited

MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging

Valentina Vadori, Jean-Marie Graïc, Livio Finos +3

In comparative neuroanatomy, the characterization of brain cytoarchitecture is critical to a better understanding of brain structure and function, as it helps to distill informatio…