Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Vincent Heuveline

Heidelberg University

Germany

Research Interests

Explore related searches

Professors in Germany Professors in Medical Imaging Medical Imaging professors in Germany

Articles (18)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Collaborators (12)

Kevin Monahan

Imperial College London

UNITED KINGDOM

View details

Andre Altmann

University College London

UNITED KINGDOM

View details

Toni Seppälä

University of Tampere

FINLAND

View details

Robert Haile

Senior member (Professor) and Senior Advisor

H Lee Moffitt Cancer Center and Research Institute

UNITED STATES

View details

Nina Montaña-Brown

University College London

UNITED KINGDOM

View details

Mark O Wielpütz

University Hospital Heidelberg

GERMANY

View details

Stefan Kölker

GERMANY

View details

Friedrich Kallinowski

University of Heidelberg Bioquant

GERMANY

View details

Daniel Fürst

GERMANY

View details

Anna Henriikka Lepistö

University of Helsinki

FINLAND

View details

Venera Weinhardt

Head of the department

Karlsruhe Institute of Technology

GERMANY

View details

Jukka-Pekka Mecklin

Research Professor

University of Jyväskylä

FINLAND

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Vincent Heuveline

Research Interests

Explore related searches

Articles (18)

Clinical application of HEDI for biomechanical evaluation and visualisation in incisional hernia repair

AdaptiveCpp Portable CUDA: A SYCL-Compatible CUDA Compiler for CPUs and GPUs from Multiple Vendors

Evaluating the AdaptiveCpp Single-Pass (SSCP) SYCL compiler for GROMACS on Modern AMD Accelerators

A Systematic Review of Conformal Inference Procedures for Treatment Effect Estimation: Methods and Challenges

Adaptivity in AdaptiveCpp: Optimizing Performance by Leveraging Runtime Information During JIT-Compilation

A Reproducible VPN Benchmarking Framework for Comparison Across Implementations

Comparative evaluation of standard machine learning models for liver fibrosis detection

AdaptiveCpp Stdpar: C++ Standard Parallelism Integrated Into a SYCL Compiler

Mortality by age, gene and gender in carriers of pathogenic mismatch repair gene variants receiving surveillance for early cancer diagnosis and treatment: a report from the prospective Lynch syndrome database

Multi-view-AE: A Python package for multi-view autoencoder models

ACSeg: Automated 3D Cytoplasm Segmentation in Soft X-Ray Tomography

A "Two-in-One Hit" Model of Shortcut Carcinogenesis in MLH1 Lynch Syndrome Carriers.

Machine Learning Methods Improve Specificity in Newborn Screening for Isovaleric Aciduria

Shot noise reduction in radiographic and tomographic multi-channel imaging with self-supervised deep learning

Finite element approximation of dielectrophoretic force driven flow problems

Vtable hijacking: Object Type Integrity for run- time type information

A simple approach for detecting HLA‐A*02 alleles in archival formalin‐fixed paraffin‐embedded tissue samples and an application example for studying cancer immunoediting

Is HLA type a possible cancer risk modifier in Lynch syndrome?

Collaborators (12)

Kevin Monahan

Andre Altmann

Toni Seppälä

Robert Haile

Nina Montaña-Brown

Mark O Wielpütz

Stefan Kölker

Friedrich Kallinowski

Daniel Fürst

Anna Henriikka Lepistö

Venera Weinhardt

Jukka-Pekka Mecklin

Make your next move.