Michael Roberts

54 papers A* 3A 3C 1Journal 42Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Building Privacy-and-Security-Focused Federated Learning Infrastructure for Global Multi-Centre Healthcare Research. CoRR Fan Zhang, Daniel Kreuter, Javier Fernández-Marqués, BloodCounts Consortium, Gregory Verghese, Bernard Butler, Nicholas D. Lane, Suthesh Sivapalaratnam, Joseph Taylor, Norbert C. J. de Wit, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Michael Roberts
2025	J	`jnl`	Laplace Learning in Wasserstein Space. CoRR Mary Chriselda Antony Oliver, Michael Roberts, Carola-Bibiane Schönlieb, Matthew Thorpe
2025	J	`jnl`	On the caveats of AI autophagy. Nat. Mac. Intell. Xiaodan Xing, Fadong Shi, Jiahao Huang, Yinzhe Wu, Yang Nan, Sheng Zhang, Yingying Fang, Michael Roberts, Carola-Bibiane Schönlieb, Javier Del Ser, Guang Yang
2025	—	`conf`	Parameter Choices in Haarpsi for IQA with Medical Images. ISBI Clemens Karner, Janek Gröhl, Ian Selby, Judith Babar, Jake Beckford, Thomas R. Else, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, James H. F. Rudd, Carola-Bibiane Schönlieb, Jonathan R. Weir-McCall, Anna Breger
2025	J	`jnl`	Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis. CoRR Xu Chen, Yuan Huang, Benn Jessney, Jason Sangha, Sophie Gu, Carola-Bibiane Schönlieb, Martin Bennett, Michael Roberts
2025	J	`jnl`	SurvSurf: a partially monotonic neural network for first-hitting time prediction of intermittently observed discrete and continuous sequential events. CoRR Yichen Kelly Chen, Sören Dittmer, Kinga Bernatowicz, Josep Arús-Pous, Kamen Bliznashki, John A. D. Aston, James H. F. Rudd, Carola-Bibiane Schönlieb, James Jones, Michael Roberts
2024	—	`conf`	A Study on the Adequacy of Common IQA Measures for Medical Images. MICAD Anna Breger, Clemens Karner, Ian Selby, Janek Gröhl, Sören Dittmer, Edward Lilley, Judith Babar, Jake Beckford, Thomas R. Else, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, Carola-Bibiane Schönlieb
2024	J	`jnl`	A study of why we need to reassess full reference image quality assessment with medical images. CoRR 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
2024	J	`jnl`	A study on the adequacy of common IQA measures for medical images. CoRR 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
2024	J	`jnl`	Deep Generative Classification of Blood Cell Morphology. CoRR Simon Deltadahl, Julian D. Gilbey, Christine van Laer, Nancy Boeckx, Mathie P. G. Leers, Tanya Freeman, Laura Aiken, Timothy Farren, Matthew Smith, Mohamad Zeina, BloodCounts Consortium, Concetta Piazzese, Joseph Taylor, Nicholas S. Gleadall, Carola-Bibiane Schönlieb, Suthesh Sivapalaratnam, Michael Roberts, Parashkev Nachev
2024	J	`jnl`	FedMAP: Unlocking Potential in Personalized Federated Learning through Bi-Level MAP Optimization. CoRR Fan Zhang, Carlos Esteve Yagüe, Sören Dittmer, Carola-Bibiane Schönlieb, Michael Roberts
2024	J	`jnl`	Parameter choices in HaarPSI for IQA with medical images. CoRR Clemens Karner, Janek Gröhl, Ian Selby, Judith Babar, Jake Beckford, Thomas R. Else, Timothy J. Sadler, Shahab Shahipasand, Arthikkaa Thavakumar, Michael Roberts, James H. F. Rudd, Carola-Bibiane Schönlieb, Jonathan R. Weir-McCall, Anna Breger
2024	J	`jnl`	Publisher Correction: The curious case of the test set AUROC. Nat. Mac. Intell. Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
2024	J	`jnl`	Recent methodological advances in federated learning for healthcare. Patterns 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 P. G. 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
2024	J	`jnl`	The curious case of the test set AUROC. Nat. Mac. Intell. Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
2023	J	`jnl`	Active Reduction of Apparent Cable Capacitance. Sensors Alexander Melin, Michael Roberts, Roger Kisner
2023	J	`jnl`	Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data. CoRR 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
2023	J	`jnl`	Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. 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 R. 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
2023	J	`jnl`	REFORMS: Reporting Standards for Machine Learning Based Science. CoRR 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
2023	J	`jnl`	Recent Methodological Advances in Federated Learning for Healthcare. CoRR 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
2023	J	`jnl`	Reinterpreting survival analysis in the universal approximator age. CoRR Sören Dittmer, Michael Roberts, Jacobus Preller, AIX-COVNET Collaboration, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
2023	J	`jnl`	The curious case of the test set AUROC. CoRR Michael Roberts, Alon Hazan, Sören Dittmer, James H. F. Rudd, Carola-Bibiane Schönlieb
2022	J	`jnl`	Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 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
2022	J	`jnl`	Classification of datasets with imputed missing values: does imputation quality matter? CoRR 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
2022	J	`jnl`	Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR 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
2022	J	`jnl`	Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 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
2022	J	`jnl`	Estimating defection in subscription-type markets: empirical analysis from the scholarly publishing industry. CoRR Michael Roberts, Juan Ignacio Deza, Hisham Ihshaish, Yanhui Zhu
2022	—	`ed.`	Medical Image Understanding and Analysis - 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29, 2022, Proceedings MIUA Guang Yang, Angelica I. Avilés-Rivero, Michael Roberts, Carola-Bibiane Schönlieb
2022	J	`jnl`	Navigating the challenges in creating complex data systems: a development philosophy. CoRR 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
2022	A*	`conf`	Notational Programming for Notebook Environments: A Case Study with Quantum Circuits. UIST Ian Arawjo, Anthony DeArmas, Michael Roberts, Shrutarshi Basu, Tapan S. Parikh
2021	J	`jnl`	Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR 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
2021	J	`jnl`	Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 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
2021	J	`jnl`	Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans. Nat. Mach. Intell. 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
2021	J	`jnl`	Semantics and Axiomatization for Stochastic Differential Dynamic Logic. CoRR Michael Roberts, Alexei Kopylov, Aleksey Nogin
2021	A*	`conf`	Universal Semantics for the Stochastic λ-Calculus. LICS Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts
2020	J	`jnl`	A Major Ecosystem Shift in Coastal East African Waters During the 1997/98 Super El Niño as Detected Using Remote Sensing Data. Remote. Sens. 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
2020	J	`jnl`	Machine learning for COVID-19 detection and prognostication using chest radiographs and CT scans: a systematic methodological review. CoRR 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
2020	J	`jnl`	On an effective multigrid solver for solving a class of variational problems with application to image segmentation. Int. J. Comput. Math. Michael Roberts, Ke Chen, Jingzhi Li, Klaus L. Irion
2020	J	`jnl`	Universal Semantics for the Stochastic Lambda-Calculus. CoRR Pedro H. Azevedo de Amorim, Dexter Kozen, Radu Mardare, Prakash Panangaden, Michael Roberts
2019	J	`jnl`	A Convex Geodesic Selective Model for Image Segmentation. J. Math. Imaging Vis. Michael Roberts, Ke Chen, Klaus L. Irion
2019	J	`jnl`	Chan-Vese Reformulation for Selective Image Segmentation. J. Math. Imaging Vis. Michael Roberts, Jack A. Spencer
2019	J	`jnl`	Multigrid algorithm based on hybrid smoothers for variational and selective segmentation models. Int. J. Comput. Math. Michael Roberts, Ke Chen, Klaus L. Irion
2018	J	`jnl`	Chan-Vese Reformulation for Selective Image Segmentation. CoRR Michael Roberts, Jack A. Spencer
2015	A	`conf`	Unsupervised Modeling of Users' Interests from their Facebook Profiles and Activities. IUI Preeti Bhargava, Oliver Brdiczka, Michael Roberts
2013	—	`conf`	Looking beyond the Single Pane of Glass: Visualization and Perspective in Enterprise Network. HCI (12) Maria C. Velez-Rojas, Serge Mankovskii, Michael Roberts, Steven Greenspan, Esin Kiris
2013	J	`jnl`	The MaSuRCA genome assembler. Bioinform. Aleksey V. Zimin, Guillaume Marçais, Daniela Puiu, Michael Roberts, Steven L. Salzberg, James A. Yorke
2010	A	`conf`	The "3D Wiki": Blending virtual worlds and Web architecture for remote collaboration. ICME Michael Roberts, Nicolas Ducheneaut, Trevor F. Smith
2009	—	`conf`	Building Web Content at the Topic Level for a Course in Information Technology for Caribbean High Schools. CSREA EE Thompson Cummings, Margaret Bernard, Michael Roberts
2009	A	`conf`	Collaborative Filtering Is Not Enough? Experiments with a Mixed-Model Recommender for Leisure Activities. UMAP Nicolas Ducheneaut, Kurt Partridge, Qingfeng Huang, Bob Price, Michael Roberts, Ed H. Chi, Victoria Bellotti, Bo Begole
2008	A*	`conf`	Activity-based serendipitous recommendations with the Magitti mobile leisure guide. CHI 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
2008	J	`jnl`	Figaro: a novel statistical method for vector sequence removal. Bioinform. James Robert White, Michael Roberts, James A. Yorke, Mihai Pop
2008	C	`conf`	Scalable architecture for context-aware activity-detecting mobile recommendation systems. WOWMOM Michael Roberts, Nicolas Ducheneaut, James Bo Begole, Kurt Partridge, Bob Price, Victoria Bellotti, Alan Walendowski, Paul Rasmussen
2004	J	`jnl`	A Preprocessor for Shotgun Assembly of Large Genomes. J. Comput. Biol. Michael Roberts, Brian R. Hunt, James A. Yorke, Randall A. Bolanos, Arthur L. Delcher
2004	J	`jnl`	Reducing storage requirements for biological sequence comparison. Bioinform. Michael Roberts, Wayne B. Hayes, Brian R. Hunt, Stephen M. Mount, James A. Yorke