Jeremy Tan

According to our database1, Jeremy Tan authored at least 12 papers between 2018 and 2020.

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



In proceedings 
PhD thesis 




Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome.
CoRR, 2020

Detecting Outliers with Foreign Patch Interpolation.
CoRR, 2020

Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics.
CoRR, 2020

Divergent Search for Few-Shot Image Classification.
CoRR, 2020

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Ultrasound Video Summarization Using Deep Reinforcement Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Divergent search for image classification behaviors.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.
J. Mach. Learn. Res., 2019

Semi-supervised Learning of Fetal Anatomy from Ultrasound.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing.
Proceedings of the Information Processing in Medical Imaging, 2019

Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic Shadow Detection in 2D Ultrasound Images.
Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018