Jeremy Tan

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

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

Elisa Chotzoglou, Thomas Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John M. Simpson, Bernhard Kainz

CoRR, 2020

Detecting Outliers with Foreign Patch Interpolation.

Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz

CoRR, 2020

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

Payel Das, Tom Sercu, Kahini Wadhawan, Inkit Padhi, Sebastian Gehrmann, Flaviu S. Cipcigan, Vijil Chenthamarakshan, Hendrik Strobelt, Cícero Nogueira dos Santos, Pin-Yu Chen, Yi Yan Yang, Jeremy Tan, James Hedrick, Jason Crain, Aleksandra Mojsilovic

CoRR, 2020

Divergent Search for Few-Shot Image Classification.

Jeremy Tan, Bernhard Kainz

CoRR, 2020

Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening.

Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas Day, David Lloyd, Bernhard Kainz

Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Ultrasound Video Summarization Using Deep Reinforcement Learning.

Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Divergent search for image classification behaviors.

Jeremy Tan, Bernhard Kainz

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning.

Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker

J. Mach. Learn. Res., 2019

Semi-supervised Learning of Fetal Anatomy from Ultrasound.

Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz

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.

Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker

Proceedings of the Information Processing in Medical Imaging, 2019

2018

Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging.

Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Automatic Shadow Detection in 2D Ultrasound Images.

Qingjie Meng, Christian F. Baumgartner, Matthew Sinclair, James Housden, Martin Rajchl, Alberto Gómez, Benjamin Hou, Nicolas Toussaint, Veronika A. M. Zimmer, Jeremy Tan, Jacqueline Matthew, Daniel Rueckert, Julia A. Schnabel, Bernhard Kainz

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018