Alfiia Galimzianova

Alfiia Galimzianova

Stanford University

H-index: 7

North America-United States

About Alfiia Galimzianova

Alfiia Galimzianova, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Stanford University, specializes in the field of medical image analysis, computer-aided diagnosis, artificial intelligence for healthtech.

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

Explainable image quality assessments in teledermatological photography

DermX: a Dermatological Diagnosis Explainability Dataset

Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks

DermX: An end-to-end framework for explainable automated dermatological diagnosis

Toward reduction in false-positive thyroid nodule biopsies with a deep learning–based risk stratification system using US cine-clip images

Explainability of Convolutional Neural Networks for Dermatological Diagnosis

Quantitative framework for risk stratification of thyroid nodules with ultrasound: a step toward automated triage of thyroid cancer

Alfiia Galimzianova Information

University

Position

___

Citations(all)

1473

Citations(since 2020)

1309

Cited By

715

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

6

i10Index(since 2020)

5

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Alfiia Galimzianova Skills & Research Interests

medical image analysis

computer-aided diagnosis

artificial intelligence for healthtech

Top articles of Alfiia Galimzianova

Title

Journal

Author(s)

Publication Date

Explainable image quality assessments in teledermatological photography

Telemedicine and e-Health

Raluca Jalaboi

Ole Winther

Alfiia Galimzianova

2023/9/1

DermX: a Dermatological Diagnosis Explainability Dataset

Raluca Jalaboi

Mauricio Orbes Arteaga

Dan Richter Jørgensen

Ionela Manole

Oana Ionescu-Bozdog

...

2023/5/24

Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks

arXiv preprint arXiv:2302.12084

Raluca Jalaboi

Ole Winther

Alfiia Galimzianova

2023/2/23

DermX: An end-to-end framework for explainable automated dermatological diagnosis

Medical Image Analysis

Raluca Jalaboi

Frederik Faye

Mauricio Orbes-Arteaga

Dan Jørgensen

Ole Winther

...

2023/1/1

Toward reduction in false-positive thyroid nodule biopsies with a deep learning–based risk stratification system using US cine-clip images

Radiology: Artificial Intelligence

Rikiya Yamashita

Tara Kapoor

Minhaj Nur Alam

Alfiia Galimzianova

Saad Ali Syed

...

2022/5/11

Explainability of Convolutional Neural Networks for Dermatological Diagnosis

Iproceedings

Raluca Jalaboi

Mauricio Orbes Arteaga

Dan Richter Jørgensen

Ionela Manole

Oana Ionescu Bozdog

...

2021/12/10

Quantitative framework for risk stratification of thyroid nodules with ultrasound: a step toward automated triage of thyroid cancer

American Journal of Roentgenology

Alfiia Galimzianova

Sean M Siebert

Aya Kamaya

Daniel L Rubin

Terry S Desser

2020/4

See List of Professors in Alfiia Galimzianova University(Stanford University)

Co-Authors

H-index: 73
Sandy Napel

Sandy Napel

Stanford University

H-index: 54
petia radeva

petia radeva

Universidad de Barcelona

H-index: 38
Aya Kamaya, M.D.

Aya Kamaya, M.D.

Stanford University

H-index: 21
Laura Igual

Laura Igual

Universidad de Barcelona

H-index: 18
Christopher Lock

Christopher Lock

Stanford University

H-index: 17
Žiga Špiclin

Žiga Špiclin

Univerza v Ljubljani

academic-engine