Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Matt De Vries
Observed names:
De Vries, Matt,
M De Vries
Observed institutions:
Institute of Cancer Research,
University of Southampton,
Imperial College London
ORCID:
0000-0002-4098-1611
Observed ORCID:
0000-0002-4098-1611
OpenAlex ID:
A5011109915
Geometric deep learning and multiple-instance learning for 3D cell-shape profiling
2025
·
Matt De Vries
, Lucas G. Dent
, et al.
·
Cell Systems
·
25
3D single-cell shape analysis using geometric deep learning
2022
·
Matt De Vries
, Lucas Dent
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
·
10
PDF
Not seeing the trees for the forest. The impact of neighbours on graph-based configurations in histopathology
2025
·
Olga Fourkioti
, Matt De Vries
, et al.
·
BMC Bioinformatics
·
2
PDF
What do machines see? Utilizing artificial intelligence to explore cell biology
2021
·
Matt De Vries
, Chris Bakal
·
The Biochemist
·
2
Predicting response to neoadjuvant therapy using image capture from diagnostic biopsies of oesophageal adenocarcinoma
2020
·
Saqib Rahman
, Joe Early
, et al.
·
European Journal of Surgical Oncology
·
2
Interpretable Point Cloud Classification Using Multiple Instance Learning
2025
·
Matt De Vries
, Reed Naidoo
, et al.
·
IEEE/CVF International Conference on Computer Vision (ICCV)
·
1
Pheno-MYCN maps the morphological footprint of MYCN amplification in paediatric neuroblastoma
2026
·
Binghao Chai
, Olga Fourkioti
, et al.
·
bioRxiv (Cold Spring Harbor Laboratory)
Abstract A010: Benchmarking 3D against 2D deep learning-driven image-based profiling for predicting biological relationships amongst genes
2025
·
Matt De Vries
, Reed Naidoo
, et al.
·
Clinical Cancer Research
Interpretable Phenotypic Profiling of 3D Cellular Morphodynamics
2024
·
Matt De Vries
, Reed Naidoo
, et al.
·
Lecture notes in computer science
P-OGC57 Predicting survival and response to therapy using diagnostic biopsies: A machine learning approach to facilitate treatment decisions for oesophageal adenocarcinoma
2021
·
Saqib Rahman
, Joseph Early
, et al.
·
British journal of surgery
O4 Neural network image capture to predict response of oesophageal adenocarcinoma to neoadjuvant therapy
2021
·
S Rahman
, J Early
, et al.
·
British journal of surgery
Show more works
View as search
Works count:
15
Citation count:
42
H-index:
2
I10-index:
2
Year
Topic
Type
