Davis J. McCarthy

Orcid: 0000-0002-2218-6833

According to our database1, Davis J. McCarthy authored at least 13 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
An Interpretable and Accurate Deep-Learning Diagnosis Framework Modeled With Fully and Semi-Supervised Reciprocal Learning.
IEEE Trans. Medical Imaging, January, 2024

BRAIxDet: Learning to detect malignant breast lesion with incomplete annotations.
Medical Image Anal., 2024

2023
Mixture of Gaussian-distributed Prototypes with Generative Modelling for Interpretable Image Classification.
CoRR, 2023

Technical outlier detection via convolutional variational autoencoder for the ADMANI breast mammogram dataset.
CoRR, 2023

Learning Support and Trivial Prototypes for Interpretable Image Classification.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.
CoRR, 2022

Trade-off between conservation of biological variation and batch effect removal in deep generative modeling for single-cell transcriptomics.
BMC Bioinform., 2022

Knowledge Distillation to Ensemble Global and Interpretable Prototype-Based Mammogram Classification Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2019
12 Grand Challenges in Single-Cell Data Science.
PeerJ Prepr., 2019

2017
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.
Bioinform., 2017

2010
<tt>edgeR</tt>: a Bioconductor package for differential expression analysis of digital gene expression data.
Bioinform., 2010

2009
Testing significance relative to a fold-change threshold is a TREAT.
Bioinform., 2009


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