Michael Roberts

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 33

Top Topics

Image Segmentation

Machine Learning

Top Venues

Nat. Mac. Intell.

Nat. Mach. Intell.

J. Math. Imaging Vis.

Publications

Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, Martijn Schut, Folkert W. Asselbergs, Sujoy Kar, Suthesh Sivapalaratnam, Sophie Williams, Mickey Koh, Yvonne Henskens, Bart de Wit, Umberto D'alessandro, Bubacarr Bah, Ousman Secka, Parashkev Nachev, Rajeev Gupta, Sara Trompeter, Nancy Boeckx, Christine van Laer, Gordon A. Awandare, Kwabena Sarpong, Lucas Amenga-Etego, Mathie Leers, Mirelle Huijskens, Samuel McDermott, Willem H. Ouwehand, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Recent methodological advances in federated learning for healthcare. Patterns 5 (6) (2024)
Anna Breger, Clemens Karner, Ian Selby, Janek Gröhl, Sören Dittmer, Edward Lilley, Judith Babar, Jake Beckford, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, Carola-Bibiane Schönlieb
A study on the adequacy of common IQA measures for medical images. CoRR (2024)
Anna Breger, Ander Biguri, Malena Sabaté Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, Janek Gröhl, Sepideh Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, Carola-Bibiane Schönlieb
A study of why we need to reassess full reference image quality assessment with medical images. CoRR (2024)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
The curious case of the test set AUROC. Nat. Mac. Intell. 6 (4) (2024)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
Publisher Correction: The curious case of the test set AUROC. Nat. Mac. Intell. 6 (4) (2024)
Fan Zhang, Carlos Esteve-Yagüe, Sören Dittmer, Carola-Bibiane Schönlieb, Michael Roberts
FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization. CoRR (2024)
Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Reinterpreting survival analysis in the universal approximator age. CoRR (2023)
Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
The curious case of the test set AUROC. CoRR (2023)
Sayash Kapoor, Emily Cantrell, Kenny Peng, Thanh Hien Pham, Christopher A. Bail, Odd Erik Gundersen, Jake M. Hofman, Jessica Hullman, Michael A. Lones, Momin M. Malik, Priyanka Nanayakkara, Russell A. Poldrack, Inioluwa Deborah Raji, Michael Roberts, Matthew J. Salganik, Marta Serra-Garcia, Brandon M. Stewart, Gilles Vandewiele, Arvind Narayanan
REFORMS: Reporting Standards for Machine Learning Based Science. CoRR (2023)
Fan Zhang, Daniel Kreuter, Yichen Chen, Sören Dittmer, Samuel Tull, Tolou Shadbahr, BloodCounts Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Recent Methodological Advances in Federated Learning for Healthcare. CoRR (2023)
Daniel Kreuter, Samuel Tull, Julian D. Gilbey, Jacobus Preller, BloodCounts! Consortium, John A. D. Aston, James H. F. Rudd, Suthesh Sivapalaratnam, Carola-Bibiane Schönlieb, Nicholas S. Gleadall, Michael Roberts
Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR (2023)
Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 5 (7) (2023)
Alexander Melin, Michael Roberts, Roger Kisner
Active Reduction of Apparent Cable Capacitance. Sensors 23 (19) (2023)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82 (2022)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4 (4) (2022)
Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, AIX-COVNET Collaboration, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
Navigating the challenges in creating complex data systems: a development philosophy. CoRR (2022)
Tolou Shadbahr, Michael Roberts, Jan Stanczuk, Julian D. Gilbey, Philip Teare, Sören Dittmer, Matthew Thorpe, Ramón Viñas Torné, Evis Sala, Pietro Lió, Mishal Patel, AIX-COVNET Collaboration, James H. F. Rudd, Tuomas Mirtti, Antti Rannikko, John A. D. Aston, Jing Tang, Carola-Bibiane Schönlieb
Classification of datasets with imputed missing values: does imputation quality matter? CoRR (2022)
Michael Roberts, Juan Ignacio Deza, Hisham Ihshaish, Yanhui Zhu
Estimating defection in subscription-type markets: empirical analysis from the scholarly publishing industry. CoRR (2022)
Ian Arawjo, Anthony DeArmas, Michael Roberts, Shrutarshi Basu, Tapan S. Parikh
Notational Programming for Notebook Environments: A Case Study with Quantum Circuits. UIST (2022)
Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR (2022)
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, Effrossyni Gkrania-Klotsas, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 3 (3) (2021)
Michael Roberts, Alexei Kopylov, Aleksey Nogin
Semantics and Axiomatization for Stochastic Differential Dynamic Logic. CoRR (2021)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR (2021)
Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3 (12) (2021)
Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts
Universal Semantics for the Stochastic λ-Calculus. LICS (2021)
Zoe L. Jacobs, Fatma Jebri, Meric Srokosz, Dionysios E. Raitsos, Stuart C. Painter, Francesco Nencioli, Kennedy Osuka, Melita Samoilys, Warwick Sauer, Michael Roberts, Sarah F. W. Taylor, Lucy Scott, Hellen Kizenga, Ekaterina Popova
A Major Ecosystem Shift in Coastal East African Waters During the 1997/98 Super El Niño as Detected Using Remote Sensing Data. Remote. Sens. 12 (19) (2020)
Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts
Universal Semantics for the Stochastic Lambda-Calculus. CoRR (2020)
Michael Roberts, Derek Driggs, Matthew Thorpe, Julian D. Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR (2020)
Michael Roberts, Ke Chen, Jingzhi Li, Klaus L. Irion
On an effective multigrid solver for solving a class of variational problems with application to image segmentation. Int. J. Comput. Math. 97 (10) (2020)
Michael Roberts, Ke Chen, Klaus L. Irion
Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models. Int. J. Comput. Math. 96 (8) (2019)
Michael Roberts, Ke Chen, Klaus L. Irion
A Convex Geodesic Selective Model for Image Segmentation. J. Math. Imaging Vis. 61 (4) (2019)
Michael Roberts, Jack A. Spencer
Chan-Vese Reformulation for Selective Image Segmentation. J. Math. Imaging Vis. 61 (8) (2019)
Michael Roberts, Jack A. Spencer
Chan-Vese Reformulation for Selective Image Segmentation. CoRR (2018)
Preeti Bhargava, Oliver Brdiczka, Michael Roberts
Unsupervised Modeling of Users' Interests from their Facebook Profiles and Activities. IUI (2015)
Maria C. Velez-Rojas, Serge Mankovskii, Michael Roberts, Steven Greenspan, Esin Kiris
Looking beyond the Single Pane of Glass: Visualization and Perspective in Enterprise Network. HCI (12) (2013)
Aleksey V. Zimin, Guillaume Marçais, Daniela Puiu, Michael Roberts, Steven L. Salzberg, James A. Yorke
The MaSuRCA genome assembler. Bioinform. 29 (21) (2013)
Michael Roberts, Nicolas Ducheneaut, Trevor F. Smith
The "3D Wiki": Blending virtual worlds and Web architecture for remote collaboration. ICME (2010)
Nicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Michael Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole
Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities. UMAP (2009)
Thompson Cummings, Margaret Bernard, Michael Roberts
Building Web Content at the Topic Level for a Course in Information Technology for Caribbean High Schools. CSREA EE (2009)
Victoria Bellotti, James Bo Begole, Ed Huai-hsin Chi, Nicolas Ducheneaut, Ji Fang, Ellen Isaacs, Tracy Holloway King, Mark W. Newman, Kurt Partridge, Bob Price, Paul Rasmussen, Michael Roberts, Diane J. Schiano, Alan Walendowski
Activity-based serendipitous recommendations with the Magitti mobile leisure guide. CHI (2008)
James Robert White, Michael Roberts, James A. Yorke, Mihai Pop
Figaro: a novel statistical method for vector sequence removal. Bioinform. 24 (4) (2008)
Michael Roberts, Nicolas Ducheneaut, James Bo Begole, Kurt Partridge, Bob Price, Victoria Bellotti, Alan Walendowski, Paul Rasmussen
Scalable architecture for context-aware activity-detecting mobile recommendation systems. WOWMOM (2008)
Michael Roberts, Wayne Hayes, Brian R. Hunt, Stephen M. Mount, James A. Yorke
Reducing storage requirements for biological sequence comparison. Bioinform. 20 (18) (2004)
Michael Roberts, Brian R. Hunt, James A. Yorke, Randall A. Bolanos, Arthur L. Delcher
A Preprocessor for Shotgun Assembly of Large Genomes. J. Comput. Biol. 11 (4) (2004)