Laura Heacock

Orcid: 0000-0002-0900-0459

According to our database1, Laura Heacock authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
An Efficient Deep Neural Network to Classify Large 3D Images With Small Objects.
IEEE Trans. Medical Imaging, January, 2024

2023
Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data.
CoRR, 2023

BenchMD: A Benchmark for Modality-Agnostic Learning on Medical Images and Sensors.
CoRR, 2023

2022
3D-GMIC: an efficient deep neural network to find small objects in large 3D images.
CoRR, 2022

2021
Lessons from the first DBTex Challenge.
Nat. Mach. Intell., 2021

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization.
Medical Image Anal., 2021

Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms.
J. Digit. Imaging, 2021

A Simulation Pipeline to Generate Realistic Breast Images for Learning DCE-MRI Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

2020
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.
IEEE Trans. Medical Imaging, 2020

Differences between human and machine perception in medical diagnosis.
CoRR, 2020

Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms.
CoRR, 2020

Understanding the robustness of deep neural network classifiers for breast cancer screening.
CoRR, 2020


  Loading...