Jeremy Tan - RankMe

36 papers Journal 20Unranked 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	FedSight AI: Multi-Agent System Architecture for Federal Funds Target Rate Prediction. CoRR Yuhan Hou, Tianji Rao, Jeremy Tan, Adler Viton, Xiyue Zhang, David Ye, Abhishek Kodi, Sanjana Dulam, Aditya Paul, Yikai Feng
2023	—	`conf`	Abstract: MOOD 2020 - A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images. Bildverarbeitung für die Medizin David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2023	J	`jnl`	Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023	—	`conf`	Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023	—	`conf`	Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. MICCAI (1) Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023	J	`jnl`	Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2022	—	`conf`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	J	`jnl`	Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022	J	`jnl`	MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein
2022	—	`conf`	Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
2022	—	`conf`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2022	J	`jnl`	nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2021	—	`conf`	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. MICCAI (7) Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
2021	J	`jnl`	Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps. CoRR Samuel Budd, Matthew Sinclair, Thomas G. Day, Athanasios Vlontzos, Jeremy Tan, Tianrui Liu, Jacqueline Matthew, Emily Skelton, John M. Simpson, Reza Razavi, Ben Glocker, Daniel Rueckert, Emma C. Robinson, Bernhard Kainz
2021	—	`conf`	Detecting Outliers with Poisson Image Interpolation. MICCAI (5) Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
2021	J	`jnl`	Detecting Outliers with Poisson Image Interpolation. CoRR Jeremy Tan, Benjamin Hou, Thomas G. Day, John M. Simpson, Daniel Rueckert, Bernhard Kainz
2021	—	`conf`	MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision. MIDOG/MOOD/Learn2Reg@MICCAI Jeremy Tan, Turkay Kart, Benjamin Hou, James Batten, Bernhard Kainz
2021	J	`jnl`	Self-Supervised Out-of-Distribution Detection and Localization with Natural Synthetic Anomalies (NSA). CoRR Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz
2020	J	`jnl`	Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics. CoRR 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
2020	—	`conf`	Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. ASMUS/PIPPI@MICCAI Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz
2020	J	`jnl`	Automated Detection of Congenital Heart Disease in Fetal Ultrasound Screening. CoRR Jeremy Tan, Anselm Au, Qingjie Meng, Sandy FinesilverSmith, John M. Simpson, Daniel Rueckert, Reza Razavi, Thomas G. Day, David Lloyd, Bernhard Kainz
2020	J	`jnl`	Detecting Outliers with Foreign Patch Interpolation. CoRR Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz
2020	J	`jnl`	Divergent Search for Few-Shot Image Classification. CoRR Jeremy Tan, Bernhard Kainz
2020	—	`conf`	Divergent search for image classification behaviors. GECCO Companion Jeremy Tan, Bernhard Kainz
2020	J	`jnl`	Learning normal appearance for fetal anomaly screening: Application to the unsupervised detection of Hypoplastic Left Heart Syndrome. CoRR Elisa Chotzoglou, Thomas G. Day, Jeremy Tan, Jacqueline Matthew, David Lloyd, Reza Razavi, John M. Simpson, Bernhard Kainz
2020	—	`conf`	Ultrasound Video Summarization Using Deep Reinforcement Learning. MICCAI (3) Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
2020	J	`jnl`	Ultrasound Video Summarization using Deep Reinforcement Learning. CoRR Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz
2019	—	`conf`	Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. IPMI Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
2019	J	`jnl`	Controlling Meshes via Curvature: Spin Transformations for Pose-Invariant Shape Processing. CoRR Loïc Le Folgoc, Daniel Coelho de Castro, Jeremy Tan, Bishesh Khanal, Konstantinos Kamnitsas, Ian Walker, Amir Alansary, Ben Glocker
2019	J	`jnl`	Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. J. Mach. Learn. Res. Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker
2019	—	`conf`	Semi-supervised Learning of Fetal Anatomy from Ultrasound. DART/MIL3ID@MICCAI Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
2019	J	`jnl`	Semi-supervised Learning of Fetal Anatomy from Ultrasound. CoRR Jeremy Tan, Anselm Au, Qingjie Meng, Bernhard Kainz
2018	—	`conf`	Automatic Shadow Detection in 2D Ultrasound Images. DATRA/PIPPI@MICCAI 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
2018	—	`conf`	Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging. MICCAI (4) Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen
2018	J	`jnl`	Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging. CoRR Ahmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen
2018	J	`jnl`	Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning. CoRR Daniel Coelho de Castro, Jeremy Tan, Bernhard Kainz, Ender Konukoglu, Ben Glocker