Cecilia Besa

About Cecilia Besa

Cecilia Besa, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at Pontificia Universidad Católica de Chile, specializes in the field of Radiologia.

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

Fast and accessible T2 mapping using off-resonance corrected DESPOT2 with application to 3D prostate

The Spectrum from Overt Primary Aldosteronism to Mild Dysregulated Aldosterone Production in Incidentally Discovered Adrenocortical Adenomas

Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes

MRI-based surrogate imaging markers of aggressiveness in prostate cancer: development of a machine learning model based on radiomic features

Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish

A survey on deep learning and explainability for automatic report generation from medical images

Oncological Benefit versus Cardiovascular Risk in Breast Cancer Patients Treated with Modern Radiotherapy

PO-1767 Development of a MRI radiomic-based ML model to predict aggressiveness of prostate cancer

Cecilia Besa Information

University

Position

___

Citations(all)

2371

Citations(since 2020)

1646

Cited By

1415

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

42

i10Index(since 2020)

39

Email

University Profile Page

Google Scholar

Cecilia Besa Skills & Research Interests

Radiologia

Top articles of Cecilia Besa

Fast and accessible T2 mapping using off-resonance corrected DESPOT2 with application to 3D prostate

Magnetic Resonance Imaging

2024/6/1

The Spectrum from Overt Primary Aldosteronism to Mild Dysregulated Aldosterone Production in Incidentally Discovered Adrenocortical Adenomas

2024

Cecilia Besa
Cecilia Besa

H-Index: 22

Anand Vaidya
Anand Vaidya

H-Index: 8

Liver PDFF estimation using a multi-decoder water-fat separation neural network with a reduced number of echoes

European Radiology

2023/9

MRI-based surrogate imaging markers of aggressiveness in prostate cancer: development of a machine learning model based on radiomic features

Diagnostics

2023/8/28

Cecilia Besa
Cecilia Besa

H-Index: 22

Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish

Frontiers in Artificial Intelligence

2022/9/21

Cecilia Besa
Cecilia Besa

H-Index: 22

Jocelyn Dunstan
Jocelyn Dunstan

H-Index: 8

A survey on deep learning and explainability for automatic report generation from medical images

2022/9/14

Oncological Benefit versus Cardiovascular Risk in Breast Cancer Patients Treated with Modern Radiotherapy

Journal of Clinical Medicine

2022/7/4

Francisco Acevedo
Francisco Acevedo

H-Index: 11

Cecilia Besa
Cecilia Besa

H-Index: 22

PO-1767 Development of a MRI radiomic-based ML model to predict aggressiveness of prostate cancer

Radiotherapy and Oncology

2022/5/1

Clinically correct report generation from chest X-rays using templates

2021

Denis Parra
Denis Parra

H-Index: 18

Cecilia Besa
Cecilia Besa

H-Index: 22

Inspecting state of the art performance and NLP metrics in image-based medical report generation

arXiv preprint arXiv:2011.09257

2020/11/18

MRI radiomics features predict immuno-oncological characteristics of hepatocellular carcinoma

European radiology

2020/7

Hepatocellular carcinoma detection in liver cirrhosis: diagnostic performance of contrast-enhanced CT vs. MRI with extracellular contrast vs. gadoxetic acid

European Radiology

2020/2

See List of Professors in Cecilia Besa University(Pontificia Universidad Católica de Chile)