Costantino Grana

About Costantino Grana

Costantino Grana, With an exceptional h-index of 38 and a recent h-index of 23 (since 2020), a distinguished researcher at Università degli Studi di Modena e Reggio Emilia, specializes in the field of Image Processing, Medical Imaging, Computer Vision, Pattern Recognition, Multimedia.

His recent articles reflect a diverse array of research interests and contributions to the field:

Annotating the Inferior Alveolar Canal: the Ultimate Tool

MedShapeNet--A Large-Scale Dataset of 3D Medical Shapes for Computer Vision

Inferior alveolar canal automatic detection with deep learning CNNs on CBCTs: development of a novel model and release of open-source dataset and algorithm

Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures

Long-range 3d self-attention for mri prostate segmentation

Deep segmentation of the mandibular canal: a new 3D annotated dataset of CBCT volumes

Applications of ai and hpc in the health domain

Costantino Grana Information

University

Position

Full Professor

Citations(all)

8177

Citations(since 2020)

2175

Cited By

6874

hIndex(all)

38

hIndex(since 2020)

23

i10Index(all)

106

i10Index(since 2020)

52

Email

University Profile Page

Google Scholar

Costantino Grana Skills & Research Interests

Image Processing

Medical Imaging

Computer Vision

Pattern Recognition

Multimedia

Top articles of Costantino Grana

Annotating the Inferior Alveolar Canal: the Ultimate Tool

2023/9/5

Federico Bolelli
Federico Bolelli

H-Index: 11

Costantino Grana
Costantino Grana

H-Index: 21

Inferior alveolar canal automatic detection with deep learning CNNs on CBCTs: development of a novel model and release of open-source dataset and algorithm

Applied Sciences

2023/3/3

Artificial intelligence evaluation of confocal microscope prostate images: our preliminary experience

Minerva urology and nephrology

2023

The DeepHealth Toolkit: A Key European Free and Open-Source Software for Deep Learning and Computer Vision Ready to Exploit Heterogeneous HPC and Cloud Architectures

2022/4/29

Long-range 3d self-attention for mri prostate segmentation

2022/3/28

Deep segmentation of the mandibular canal: a new 3D annotated dataset of CBCT volumes

IEEE Access

2022/1/19

Improving segmentation of the inferior alveolar nerve through deep label propagation

2022

Automated prediction of kidney failure in IgA nephropathy with deep learning from biopsy images

Clinical Journal of the American Society of Nephrology

2022/9/1

Quest for Speed: The Epic Saga of Record-Breaking on OpenCV Connected Components Extraction

2022/5/23

Connected Components Labeling on Bitonal Images

2022/5/17

A deep analysis on high‐resolution dermoscopic image classification

IET Computer Vision

2021/10

Fast Run-Based Connected Components Labeling for Bitonal Images

2021/8/16

A heuristic-based decision tree for connected components labeling of 3D volumes: implementation and reproducibility notes

2021/1/11

The deephealth toolkit: a unified framework to boost biomedical applications

2021/1/10

Confidence calibration for deep renal biopsy immunofluorescence image classification

2021/1/10

Supporting skin lesion diagnosis with content-based image retrieval

2021/1/10

One DAG to Rule Them All

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021/1/28

See List of Professors in Costantino Grana University(Università degli Studi di Modena e Reggio Emilia)

Co-Authors

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