Ole Winther

Københavns Universitet

Denmark

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Articles (19)

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2023

Collaborators (18)

Mikkel N. Schmidt

Technical University of Denmark

DENMARK

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Allan Lund

Professor of Paediatics

University of Copenhagen

DENMARK

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Line Clemmensen

Technical University of Denmark

DENMARK

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Karina Banasik

Københavns Universitet

DENMARK

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Ole Lund

Technical University of Denmark

DENMARK

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Jakob Schiøtz

Professor

Technical University of Denmark

DENMARK

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Ioannis Louloudis

Københavns Universitet

DENMARK

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Paolo Marcatili

Technical University of Denmark

DENMARK

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Christian Erikstrup

Aarhus University

DENMARK

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Mette Nyegaard

Aalborg University

DENMARK

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Matthias Samwald

Medical University of Vienna

AUSTRIA

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Henrik Nielsen

Technical University of Denmark

DENMARK

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Lars Iversen

Aarhus University

DENMARK

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Trine Bertelsen

Aarhus University Hospital

DENMARK

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Bjarni Jóhann Vilhjálmsson

Professor

Aarhus University

DENMARK

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stig helveg

Technical University of Denmark

DENMARK

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Matthew Helmi Leth Larsen

Technical University of Denmark

DENMARK

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Joseph Dowsett

Copenhagen University Hospital

DENMARK

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Ole Winther

Research Interests

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Articles (19)

Physician Level Assessment of Hirsute Women and of Their Eligibility for Laser Treatment With Deep Learning

NetStart 2.0

Can large language models reason about medical questions?

DeepLoc 2.1

DeepLocRNA: an interpretable deep learning model for predicting RNA subcellular localisation with domain-specific transfer-learning

DiscoTope-3.0

Predicting the subcellular location of prokaryotic proteins with DeepLocPro

ThoughtSource: A central hub for large language model reasoning data

Reconstructing the exit wave of 2D materials in high-resolution transmission electron microscopy using machine learning

Deep integrative models for large-scale human genomics

Deorphanizing Peptides Using Structure Prediction

DermX: An end-to-end framework for explainable automated dermatological diagnosis

Explainable Image Quality Assessments in Teledermatological Photography

FindZebra online search delving into rare disease case reports using natural language processing

Graph neural network interatomic potential ensembles with calibrated aleatoric and epistemic uncertainty on energy and forces

Molecular Representations in Machine-Learning-Based Prediction of PK Parameters for Insulin Analogs

RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologies

Addressing caveats of neural persistence with deep graph persistence

DeepPeptide predicts cleaved peptides in proteins using conditional random fields

Collaborators (18)

Mikkel N. Schmidt

Allan Lund

Line Clemmensen

Karina Banasik

Ole Lund

Jakob Schiøtz

Ioannis Louloudis

Paolo Marcatili

Christian Erikstrup

Mette Nyegaard

Matthias Samwald

Henrik Nielsen

Lars Iversen

Trine Bertelsen

Bjarni Jóhann Vilhjálmsson

stig helveg

Matthew Helmi Leth Larsen

Joseph Dowsett

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