Cem M Deniz

Cem M Deniz

New York University

H-index: 21

North America-United States

About Cem M Deniz

Cem M Deniz, With an exceptional h-index of 21 and a recent h-index of 17 (since 2020), a distinguished researcher at New York University, specializes in the field of Deep Learning, Imaging, Biomarkers, MRI, RF.

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

DEEP LEARNING FOR PREDICTION OF KNEE OSTEOARTHRITIS STRUCTURAL PROGRESSION AND INCIDENCE

Radiology Reports Improve Visual Representations Learned from Radiographs

The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images

Artificial Intelligence in Knee Osteoarthritis: A Comprehensive Review

Prediction of total knee replacement using deep learning analysis of knee MRI

Towards automatic cartilage quantification in clinical trials–Continuing from the 2019 IWOAI knee segmentation challenge

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Deep learning applications in osteoarthritis imaging

Cem M Deniz Information

University

Position

___

Citations(all)

1456

Citations(since 2020)

933

Cited By

854

hIndex(all)

21

hIndex(since 2020)

17

i10Index(all)

30

i10Index(since 2020)

26

Email

University Profile Page

Google Scholar

Cem M Deniz Skills & Research Interests

Deep Learning

Imaging

Biomarkers

MRI

RF

Top articles of Cem M Deniz

DEEP LEARNING FOR PREDICTION OF KNEE OSTEOARTHRITIS STRUCTURAL PROGRESSION AND INCIDENCE

Osteoarthritis and Cartilage

2024/4/1

Radiology Reports Improve Visual Representations Learned from Radiographs

2024/1/23

Cem M Deniz
Cem M Deniz

H-Index: 16

The impact of data augmentation and transfer learning on the performance of deep learning models for the segmentation of the hip on 3D magnetic resonance images

Informatics in Medicine Unlocked

2024/1/1

Cem M Deniz
Cem M Deniz

H-Index: 16

Riccardo Lattanzi
Riccardo Lattanzi

H-Index: 21

Artificial Intelligence in Knee Osteoarthritis: A Comprehensive Review

2023/7/30

Cem M Deniz
Cem M Deniz

H-Index: 16

Prediction of total knee replacement using deep learning analysis of knee MRI

Scientific reports

2023/4/28

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

Osteoarthritis and cartilage

2023/1/1

Deep learning applications in osteoarthritis imaging

2023/11

Cem M Deniz
Cem M Deniz

H-Index: 16

DEEP LEARNING ANALYSIS OF BASELINE WEIGHTBEARING COMPUTED TOMORGRAPHY FOR PREDICTING RADIOGRAPHIC KNEE OSTEOARTHRITIS PROGRESSION

Osteoarthritis and Cartilage

2022/4/1

MULTI-INSTITUTIONAL LARGE-SCALE VALIDATION OF 8 METHODS FOR AUTOMATIC KNEE MRI SEGMENTATION FOR USE IN CLINICAL TRIALS

Osteoarthritis and Cartilage

2022/4/1

The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset

Radiology: Artificial Intelligence

2021/2/10

Specific absorption rate implications of within‐scan patient head motion for ultra‐high field MRI

Magnetic resonance in medicine

2020/11

Emre Kopanoglu
Emre Kopanoglu

H-Index: 6

Cem M Deniz
Cem M Deniz

H-Index: 16

Three-dimensional MRI Bone Models of the Glenohumeral Joint Using Deep Learning: Evaluation of Normal Anatomy and Glenoid Bone Loss

Radiology: Artificial Intelligence

2020/9/9

Cem M Deniz
Cem M Deniz

H-Index: 16

Natalia Gorelik
Natalia Gorelik

H-Index: 4

Prediction of total knee replacement and diagnosis of osteoarthritis by using deep learning on knee radiographs: data from the osteoarthritis initiative

Radiology

2020/9

Attention-based cnn for kl grade classification: Data from the osteoarthritis initiative

2020/4/3

A multi-institute automated segmentation evaluation on a standard dataset: Findings from the international workshop on osteoarthritis imaging segmentation challenge

Osteoarthritis and Cartilage

2020/4/1

Semi-supervised learning for predicting total knee replacement with unsupervised data augmentation

2020/3/16

System, method and computer-accessible medium for compliance assessment and active power management for safe use of radiowave emitting devices

2020/3/5

Simultaneous multi-slice imaging reduces sensitivity of local-SAR to patient motion at 7T

2020

Emre Kopanoglu
Emre Kopanoglu

H-Index: 6

Cem M Deniz
Cem M Deniz

H-Index: 16

See List of Professors in Cem M Deniz University(New York University)

Co-Authors

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