markus kollmann

About markus kollmann

markus kollmann, With an exceptional h-index of 24 and a recent h-index of 12 (since 2020), a distinguished researcher at Heinrich-Heine-Universität Düsseldorf, specializes in the field of computational biology.

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

Rethinking cluster-conditioned diffusion models

De novo prediction of RNA 3D structures with deep generative models

Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies

Exploring the limits of deep image clustering using pretrained models

Contrastive language-image pretrained (clip) models are powerful out-of-distribution detectors

Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection

Self-sustained rhythmic behavior of Synechocystis PCC 6803 under continuous light conditions in the absence of light-dark entrainment

markus kollmann Information

University

Position

professor

Citations(all)

2180

Citations(since 2020)

450

Cited By

1874

hIndex(all)

24

hIndex(since 2020)

12

i10Index(all)

33

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

markus kollmann Skills & Research Interests

computational biology

Top articles of markus kollmann

Rethinking cluster-conditioned diffusion models

arXiv preprint arXiv:2403.00570

2024/3/1

Tim Kaiser
Tim Kaiser

H-Index: 6

Markus Kollmann
Markus Kollmann

H-Index: 11

De novo prediction of RNA 3D structures with deep generative models

Plos one

2024/2/15

Stefan Harmeling
Stefan Harmeling

H-Index: 26

Markus Kollmann
Markus Kollmann

H-Index: 11

Abnormality Detection for Medical Images Using Self-Supervision and Negative Samples

2023/9/22

Markus Kollmann
Markus Kollmann

H-Index: 11

Wearable based monitoring and self-supervised contrastive learning detect clinical complications during treatment of Hematologic malignancies

NPJ Digital Medicine

2023/6/2

Rahil Gholamipoor
Rahil Gholamipoor

H-Index: 1

Markus Kollmann
Markus Kollmann

H-Index: 11

Exploring the limits of deep image clustering using pretrained models

arXiv preprint arXiv:2303.17896

2023/3/31

Markus Kollmann
Markus Kollmann

H-Index: 11

Contrastive language-image pretrained (clip) models are powerful out-of-distribution detectors

arXiv preprint arXiv:2303.05828

2023/3/10

Tim Kaiser
Tim Kaiser

H-Index: 6

Markus Kollmann
Markus Kollmann

H-Index: 11

Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection

arXiv e-prints

2023/3

Tim Kaiser
Tim Kaiser

H-Index: 6

Markus Kollmann
Markus Kollmann

H-Index: 11

Self-sustained rhythmic behavior of Synechocystis PCC 6803 under continuous light conditions in the absence of light-dark entrainment

bioRxiv

2023

Rahil Gholamipoor
Rahil Gholamipoor

H-Index: 1

Markus Kollmann
Markus Kollmann

H-Index: 11

Superposition of target structures enables design of bi-stable RNA molecules with deep learning

bioRxiv

2023

Markus Kollmann
Markus Kollmann

H-Index: 11

Self-supervised anomaly detection by self-distillation and negative sampling

2022/9/6

Rahil Gholamipoor
Rahil Gholamipoor

H-Index: 1

Markus Kollmann
Markus Kollmann

H-Index: 11

Pneumonia detection with semantic similarity scores

2022/3/28

Rahil Gholamipoor
Rahil Gholamipoor

H-Index: 1

Markus Kollmann
Markus Kollmann

H-Index: 11

Feasibility of wearable-based remote monitoring in patients during intensive treatment for aggressive hematologic malignancies

JCO Clinical Cancer Informatics

2022/1

Rahil Gholamipoor
Rahil Gholamipoor

H-Index: 1

Markus Kollmann
Markus Kollmann

H-Index: 11

Optimal acquisition sequence for AI-assisted brain tumor segmentation under the constraint of largest information gain per additional MRI sequence

2022/12/1

Markus Kollmann
Markus Kollmann

H-Index: 11

Hirntumorsegmentierung in der klinischen Routine: Genauigkeit von state-of-the-art Machine Learning Modellen in kombinierten 2D/3D MRT-Protokollen

RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren

2021/4

Reliable detection of atrial fibrillation with a medical wearable under inpatient conditions (CoMMoD-A-fib)

European Heart Journal

2020/11

Unsupervised anomaly detection from semantic similarity scores

2020/10/2

Rahil Gholamipoor
Rahil Gholamipoor

H-Index: 1

Markus Kollmann
Markus Kollmann

H-Index: 11

Information integration and decision making in flowering time control

PLoS One

2020/9/23

Linlin Zhao
Linlin Zhao

H-Index: 2

Markus Kollmann
Markus Kollmann

H-Index: 11

See List of Professors in markus kollmann University(Heinrich-Heine-Universität Düsseldorf)