Uli Niemann

About Uli Niemann

Uli Niemann, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Otto-von-Guericke-Universität Magdeburg, specializes in the field of Data Science, Machine Learning, AI for Health.

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

Heterogeneity in response to treatment across tinnitus phenotypes

Single versus Combination Treatment in Tinnitus: An International, Multicentre, Parallel-arm, Superiority, Randomised Controlled Trial

Single versus Combination Treatment in Tinnitus: A Randomized, Multicenter Trial

Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction

Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients

The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT)

A cost-based multi-layer network approach for the discovery of patient phenotypes

Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients

Uli Niemann Information

University

Position

___

Citations(all)

540

Citations(since 2020)

426

Cited By

233

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

18

i10Index(since 2020)

14

Email

University Profile Page

Google Scholar

Uli Niemann Skills & Research Interests

Data Science

Machine Learning

AI for Health

Top articles of Uli Niemann

Heterogeneity in response to treatment across tinnitus phenotypes

Scientific Reports

2024/1/24

Uli Niemann
Uli Niemann

H-Index: 8

Myra Spiliopoulou
Myra Spiliopoulou

H-Index: 25

Single versus Combination Treatment in Tinnitus: An International, Multicentre, Parallel-arm, Superiority, Randomised Controlled Trial

medRxiv

2024/1/9

Single versus Combination Treatment in Tinnitus: A Randomized, Multicenter Trial

2024/1/9

Parsimonious predictors for medical decision support: Minimizing the set of questionnaires used for tinnitus outcome prediction

Expert Systems with Applications

2024/4/1

Uli Niemann
Uli Niemann

H-Index: 8

Myra Spiliopoulou
Myra Spiliopoulou

H-Index: 25

Prognostic role of radiomics‐based body composition analysis for the 1‐year survival for hepatocellular carcinoma patients

Journal of cachexia, sarcopenia and muscle

2023/10

The statistical analysis plan for the unification of treatments and interventions for tinnitus patients randomized clinical trial (UNITI-RCT)

Trials

2023/7/24

A cost-based multi-layer network approach for the discovery of patient phenotypes

arXiv preprint arXiv:2209.09032

2022/9/19

Uli Niemann
Uli Niemann

H-Index: 8

Myra Spiliopoulou
Myra Spiliopoulou

H-Index: 25

Visual Analytics to Support Treatment Decisions in Late-Stage Melanoma Patients

2023

Data-Driven Prediction of Athletes’ Performance Based on Their Social Media Presence

2022/11/6

Myra Spiliopoulou
Myra Spiliopoulou

H-Index: 25

Uli Niemann
Uli Niemann

H-Index: 8

Classification of cardiac cohorts based on morphological and hemodynamic features derived from 4D PC-MRI data

2022/7/21

Juxtaposing medical centers using different questionnaires through score predictors

Frontiers in Neuroscience

2022/3/23

Dimensions of tinnitus-related distress

Brain Sciences

2022/2/16

GUCCI - Guided Cardiac Cohort Investigation of Blood Flow Data

IEEE Transactions on Visualization and Computer Graphics

2021/12/9

Discovery of patient phenotypes through multi-layer network analysis on the example of tinnitus

2021/10/6

Assessing the difficulty of annotating medical data in crowdworking with help of experiments

PloS one

2021/7/29

Intelligent assistance for expert-driven subpopulation discovery in high-dimensional timestamped medical data

2021

Uli Niemann
Uli Niemann

H-Index: 8

Gender-specific differences in patients with chronic tinnitus—baseline characteristics and treatment effects

Frontiers in Neuroscience

2020/5/25

Uli Niemann
Uli Niemann

H-Index: 8

Myra Spiliopoulou
Myra Spiliopoulou

H-Index: 25

Development and internal validation of a depression severity prediction model for tinnitus patients based on questionnaire responses and socio-demographics

Scientific reports

2020/3/13

Uli Niemann
Uli Niemann

H-Index: 8

Myra Spiliopoulou
Myra Spiliopoulou

H-Index: 25

Visual analysis of missing values in longitudinal cohort study data

Computer Graphics Forum

2020/2

See List of Professors in Uli Niemann University(Otto-von-Guericke-Universität Magdeburg)

Co-Authors

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