Michael Krauthammer

Michael Krauthammer

Universität Zürich

H-index: 43

Europe-Switzerland

About Michael Krauthammer

Michael Krauthammer, With an exceptional h-index of 43 and a recent h-index of 28 (since 2020), a distinguished researcher at Universität Zürich, specializes in the field of Biomedical Informatics.

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

Simple Contrastive Representation Learning for Time Series Forecasting

Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data

Predicting Interstitial Lung Disease Progression in Patients with Systemic Sclerosis Using Attentive Neural Processes-A EUSTAR Study

Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis

Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning

Boosting Radiology Report Generation by Infusing Comparison Prior

Disfluent Cues for Enhanced Speech Understanding in Large Language Models

Generative time series models with interpretable latent processes for complex disease trajectories

Michael Krauthammer Information

University

Position

___

Citations(all)

11626

Citations(since 2020)

4658

Cited By

8826

hIndex(all)

43

hIndex(since 2020)

28

i10Index(all)

83

i10Index(since 2020)

56

Email

University Profile Page

Universität Zürich

Google Scholar

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Michael Krauthammer Skills & Research Interests

Biomedical Informatics

Top articles of Michael Krauthammer

Title

Journal

Author(s)

Publication Date

Simple Contrastive Representation Learning for Time Series Forecasting

Xiaochen Zheng

Xingyu Chen

Manuel Schürch

Amina Mollaysa

Ahmed Allam

...

2024/3/18

Towards AI-Based Precision Oncology: A Machine Learning Framework for Personalized Counterfactual Treatment Suggestions based on Multi-Omics Data

arXiv preprint arXiv:2402.12190

Manuel Schürch

Laura Boos

Viola Heinzelmann-Schwarz

Gabriele Gut

Michael Krauthammer

...

2024/2/19

Predicting Interstitial Lung Disease Progression in Patients with Systemic Sclerosis Using Attentive Neural Processes-A EUSTAR Study

medRxiv

Ahmed Allam

Aron N. Horvath

Matthias Dittberner

Cécile Trottet

Elise Siegert

...

2024/4/26

Fragmentstein—facilitating data reuse for cell-free DNA fragment analysis

Bioinformatics

Zsolt Balázs

Todor Gitchev

Ivna Ivanković

Michael Krauthammer

2024/1/1

Predicting prime editing efficiency across diverse edit types and chromatin contexts with machine learning

bioRxiv

Nicolas Mathis

Ahmed Allam

András Tálas

Elena Benvenuto

Ruben Schep

...

2023

Boosting Radiology Report Generation by Infusing Comparison Prior

arXiv preprint arXiv:2305.04561

Sanghwan Kim

Farhad Nooralahzadeh

Morteza Rohanian

Koji Fujimoto

Mizuho Nishio

...

2023/5/8

Disfluent Cues for Enhanced Speech Understanding in Large Language Models

Morteza Rohanian

Farhad Nooralahzadeh

Omid Rohanian

David Clifton

Michael Krauthammer

2023/12

Generative time series models with interpretable latent processes for complex disease trajectories

Cécile Trottet

Manuel Schürch

Amina Mollaysa

Ahmed Allam

Michael Krauthammer

2023/10/27

Explainable deep learning for disease activity prediction in chronic inflammatory joint diseases

medRxiv

Cécile Trottet

Ahmed Allam

Aron N. Horvath

Axel Finckh

Thomas Hügle

...

2023/12/6

ROS induction targets persister cancer cells with low metabolic activity in NRAS-mutated melanoma

Cancer Research

Ossia M Eichhoff

Corinne I Stoffel

Jan Käsler

Luzia Briker

Patrick Turko

...

2023/4/4

Attention-based Multi-task Learning for Base Editor Outcome Prediction

Amina Mollaysa

Ahmed Allam

Michael Krauthammer

2023/11/13

Radiology-Aware Model-Based Evaluation Metric for Report Generation

arXiv preprint arXiv:2311.16764

Amos Calamida

Farhad Nooralahzadeh

Morteza Rohanian

Koji Fujimoto

Mizuho Nishio

...

2023/11/28

SimTS: rethinking contrastive representation learning for time series forecasting

Xiaochen Zheng

Xingyu Chen

Manuel Schürch

Amina Mollaysa

Ahmed Allam

...

2023/3/31

Vision transformer assisting rheumatologists in screening for capillaroscopy changes in systemic sclerosis: an artificial intelligence model (VOL 62, keac541, 2022)

Rheumatology

Alexandru Garaiman

Farhad Nooralahzadeh

Carina Mihai

Nicolas Perez Gonzalez

Nikitas Gkikopoulos

...

2023/7/1

Modeling Complex Disease Trajectories using Deep Generative Models with Semi-Supervised Latent Processes

Cécile Trottet

Manuel Schürch

Ahmed Allam

Imon Barua

Liubov Petelytska

...

2023/11/14

Memory Th1 cells modulate heterologous diseases through innate function

bioRxiv

NIkolas Rakebrandt

Nima Yassini

Anna Kolz

Michelle Schorer

Katharina Lambert

...

2023

Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey

Yearbook of Medical Informatics

Anastassia Shaitarova

Jamil Zaghir

Alberto Lavelli

Michael Krauthammer

Fabio Rinaldi

2023/8

Dynamic Local Attention with Hierarchical Patching for Irregular Clinical Time Series

Xingyu Chen

Xiaochen Zheng

Amina Mollaysa

Manuel Schürch

Ahmed Allam

...

2023/11/13

Exploratory Analysis of Federated Learning Methods with Differential Privacy on MIMIC-III

arXiv

Aron N. Horvath

Matteo Berchier

Farhad Nooralahzadeh

Ahmed Allam

Michael Krauthammer

2023/2

Predicting prime editing efficiency and product purity by deep learning

Nature biotechnology

Nicolas Mathis

Ahmed Allam

Lucas Kissling

Kim Fabiano Marquart

Lukas Schmidheini

...

2023/8

See List of Professors in Michael Krauthammer University(Universität Zürich)