Marta Zerunian

About Marta Zerunian

Marta Zerunian, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Sapienza Università di Roma,

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

OC. 18.3: PREVALENCE OF SARCOPENIA IN PATIENTS WITH GASTROINTESTINAL NEUROENDOCRINE NEOPLASMSAT TIME OF DIAGNOSIS

How young radiologists use contrast media and manage adverse reactions: an international survey

Liver Magnetic Resonance Elastography: Focus on Methodology, Technique, and Feasibility

Is CT Radiomics Superior to Morphological Evaluation for pN0 Characterization? A Pilot Study in Colon Cancer

Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol

Small Bowel and Colon Cancer

Deep learning-based segmentation of multisite disease in ovarian cancer

Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer

Marta Zerunian Information

University

Position

Radiology Department Sant'Andrea Hospital -

Citations(all)

1658

Citations(since 2020)

1644

Cited By

532

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

22

i10Index(since 2020)

22

Email

University Profile Page

Google Scholar

Top articles of Marta Zerunian

OC. 18.3: PREVALENCE OF SARCOPENIA IN PATIENTS WITH GASTROINTESTINAL NEUROENDOCRINE NEOPLASMSAT TIME OF DIAGNOSIS

Digestive and Liver Disease

2024/4/1

How young radiologists use contrast media and manage adverse reactions: an international survey

Insights into Imaging

2024/3/26

Liver Magnetic Resonance Elastography: Focus on Methodology, Technique, and Feasibility

2024/2/9

Is CT Radiomics Superior to Morphological Evaluation for pN0 Characterization? A Pilot Study in Colon Cancer

Cancers

2024/2/4

Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol

Skeletal Radiology

2024/1

Small Bowel and Colon Cancer

2023/12/27

Deep learning-based segmentation of multisite disease in ovarian cancer

European radiology experimental

2023/12/7

Integrated radiogenomics models predict response to neoadjuvant chemotherapy in high grade serous ovarian cancer

Nature communications

2023/10/24

Low-dose liver CT: image quality and diagnostic accuracy of deep learning image reconstruction algorithm

European Radiology

2023/9/9

Explainable AI in radiology: a white paper of the Italian Society of Medical and Interventional Radiology

La radiologia medica

2023/6

Development and Validation of Artificial-Intelligence-Based Radiomics Model Using Computed Tomography Features for Preoperative Risk Stratification of Gastrointestinal Stromal …

Journal of Personalized Medicine

2023/4/24

Deep learning image reconstruction algorithm: Impact on image quality in coronary computed tomography angiography

La radiologia medica

2023/4

MRI techniques for liver fat quantification: comparison between different techniques

2023/3/12

T. 11.7 THE PROGNOSTIC ROLE OF RADIOMICS IN GASTRO-ENTEROPANCREATIC NEUROENDOCRINE TUMORS

Digestive and Liver Disease

2023/3/1

Iterative reconstruction: State-of-the-art and future perspectives

2023/3/1

Pre-treatment T2-WI based radiomics features for prediction of locally advanced rectal cancer non-response to neoadjuvant chemoradiotherapy: a preliminary study

Cancers

2020/7/14

Editorial for “Pre-Treatment T2-WI Based Radiomics Features for Prediction of Locally Advanced Rectal Cancer Non-Response to Neoadjuvant Chemoradiotherapy: A Preliminary Study”

2023/1/29

Xinyu Shi1†, Min Zhao2†, Bo Shi1, Guoliang Chen1, Huihui Yao1, Junjie Chen1, Daiwei Wan1, Wen Gu1 and Songbing He1

Personalized Radiation Therapy: Guided with Imaging Technologies

2023/1/9

Marta Zerunian
Marta Zerunian

H-Index: 9

Radiomics analysis in gastrointestinal imaging: a narrative review

2023

See List of Professors in Marta Zerunian University(Sapienza Università di Roma)