Joseph Boyd

According to our database1, Joseph Boyd authored at least 10 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Structured State Space Models for Multiple Instance Learning in Digital Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Artifact Removal in Histopathology Images.
CoRR, 2022

Region-Guided CycleGANs for Stain Transfer in Whole Slide Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020
Deep learning for computational phenotyping in cell-based assays. (Apprentissage profond pour le phénotypage computationnel dans les essais cellulaires).
PhD thesis, 2020

Domain-invariant features for mechanism of action prediction in a multi-cell-line drug screen.
Bioinform., 2020

Experimentally-Generated Ground Truth for Detecting Cell Types in an Image-Based Immunotherapy Screen.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
ASNI: Adaptive Structured Noise Injection for shallow and deep neural networks.
CoRR, 2019

Predicting Residual Cancer Burden In A Triple Negative Breast Cancer Cohort.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Analysing double-strand breaks in cultured cells for drug screening applications by causal inference.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018


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