Mirabela Rusu

Mirabela Rusu

Stanford University

H-index: 23

North America-United States

About Mirabela Rusu

Mirabela Rusu, With an exceptional h-index of 23 and a recent h-index of 19 (since 2020), a distinguished researcher at Stanford University, specializes in the field of multi-protocol, multi-scale data fusion, MRI, Histology, computational imaging.

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

Automated labeling of spondylolisthesis cases through spinal MRI radiology report interpretation using ChatGPT

ArtHiFy: artificial histopathology-style features for improving MRI-based prostate cancer detection

Assessing breast cancer chemotherapy response in radiology and pathology reports via a large language model

A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images

Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

Deep learning for prostate and central gland segmentation on micro-ultrasound images

MP19-17 INTEGRATING MR AND ULTRASOUND IMAGES FOR AI-BASED PROSTATE CANCER DETECTION IN TRANSRECTAL ULTRASOUND IMAGES: A COMPARATIVE ASSESSMENT WITH CLINICIANS

PD27-03 A DEEP LEARNING MODEL FOR AUTOMATED PROSTATE CANCER DETECTION ON MICRO-ULTRASOUND

Mirabela Rusu Information

University

Position

Assistant Professor of Radiology at

Citations(all)

5965

Citations(since 2020)

2069

Cited By

4648

hIndex(all)

23

hIndex(since 2020)

19

i10Index(all)

44

i10Index(since 2020)

35

Email

University Profile Page

Google Scholar

Mirabela Rusu Skills & Research Interests

multi-protocol

multi-scale data fusion

MRI

Histology

computational imaging

Top articles of Mirabela Rusu

Automated labeling of spondylolisthesis cases through spinal MRI radiology report interpretation using ChatGPT

2024/4/3

Golnaz Moallem
Golnaz Moallem

H-Index: 3

Mirabela Rusu
Mirabela Rusu

H-Index: 13

ArtHiFy: artificial histopathology-style features for improving MRI-based prostate cancer detection

2024/4/3

Assessing breast cancer chemotherapy response in radiology and pathology reports via a large language model

2024/4/2

Golnaz Moallem
Golnaz Moallem

H-Index: 3

Mirabela Rusu
Mirabela Rusu

H-Index: 13

A deep learning framework to assess the feasibility of localizing prostate cancer on b-mode transrectal ultrasound images

2024/4/2

Swin Transformer-based affine registration of MRI and ultrasound images of the prostate

2024/4/1

Deep learning for prostate and central gland segmentation on micro-ultrasound images

2024/4/1

Mirabela Rusu
Mirabela Rusu

H-Index: 13

MP19-17 INTEGRATING MR AND ULTRASOUND IMAGES FOR AI-BASED PROSTATE CANCER DETECTION IN TRANSRECTAL ULTRASOUND IMAGES: A COMPARATIVE ASSESSMENT WITH CLINICIANS

The Journal of Urology

2024/5

PD27-03 A DEEP LEARNING MODEL FOR AUTOMATED PROSTATE CANCER DETECTION ON MICRO-ULTRASOUND

The Journal of Urology

2024/5

PD50-01 AI VS. UROLOGISTS: A COMPARATIVE ANALYSIS FOR PROSTATE CANCER DETECTION ON TRANSRECTAL B-MODE ULTRASOUND

The Journal of Urology

2024/5

MP31-18 ARTIFICIAL INTELLIGENCE-ASSISTED PROSTATE CANCER DETECTION ON B-MODE TRANSRECTAL ULTRASOUND IMAGES

The Journal of Urology

2024/5

MP25-18 PREDICTORS OF TREATMENT FAILURE AFTER FOCAL HIGH-INTENSITY FOCUSED ULTRASOUND (HIFU) OF LOCALIZED PROSTATE CANCER

The Journal of Urology

2024/5

Mirabela Rusu
Mirabela Rusu

H-Index: 13

RAPHIA: A deep learning pipeline for the registration of MRI and whole-mount histopathology images of the prostate

Computers in Biology and Medicine

2024/5/1

ProsDectNet: Bridging the Gap in Prostate Cancer Detection via Transrectal B-mode Ultrasound Imaging

arXiv preprint arXiv:2312.05334

2023/12/8

BreastRegNet: A Deep Learning Framework for Registration of Breast Faxitron and Histopathology Images

2023/10/8

Negar Golestani
Negar Golestani

H-Index: 4

Mirabela Rusu
Mirabela Rusu

H-Index: 13

Improving Automated Prostate Cancer Detection and Classification Accuracy with Multi-scale Cancer Information

2023/10/8

MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection

2023/10/1

Identification of Factors Associated With 30-day Readmissions After Posterior Lumbar Fusion Using Machine Learning and Traditional Models: A National Longitudinal Database Study

Spine

2023/9/1

Prediction and Mapping of Intraprostatic Tumor Extent with Artificial Intelligence

European Urology Open Science

2023/8/1

The association of tissue change and treatment success during high-intensity focused ultrasound focal therapy for prostate cancer

European urology focus

2023/7/1

PD22-03 IMPROVING PROSTATE CANCER DETECTION ON MRI WITH DEEP LEARNING, CLINICAL VARIABLES, AND RADIOMICS

The Journal of Urology

2023/4

See List of Professors in Mirabela Rusu University(Stanford University)