Joseph Jacob

57 papers A* 2A 1B 1Journal 38Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Association of Progressive PPFE and Mortality in Lung Cancer Screening Cohorts.
CoRR
Shahab Aslani, Mehran Azimbagirad, Daryl Cheng, Daisuke Yamada, Ryoko Egashira, Adam Szmul, Justine Chan-Fook, Robert Chapman, Alfred Chung Pui So, Shanshan Wang, John McCabe, Tianqi Yang, Jose M. Brenes, Eyjolfur Gudmundsson, SUMMIT Consortium, Susan M. Astley, Daniel C. Alexander, Sam M. Janes, Joseph Jacob
2025 J jnl
4D VQ-GAN: Synthesising Medical Scans at Any Time Point for Personalised Disease Progression Modelling of Idiopathic Pulmonary Fibrosis.
CoRR
An Zhao, Moucheng Xu, Ahmed H. Shahin, Wim A. Wuyts, Mark G. Jones, Joseph Jacob, Daniel C. Alexander
2025 J jnl
A computationally frugal open-source foundation model for thoracic disease detection in lung cancer screening programs.
CoRR
Niccolò McConnell, Pardeep Vasudev, Daisuke Yamada, Daryl Cheng, Mehran Azimbagirad, John McCabe, Shahab Aslani, Ahmed H. Shahin, Yukun Zhou, SUMMIT Consortium, André Altmann, Yipeng Hu, Paul Taylor, Sam M. Janes, Daniel C. Alexander, Joseph Jacob
2025 J jnl
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.
ACM Trans. Comput. Hum. Interact.
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark A. Pinnock, Maria T. A. Wetscherek, Cecily Morrison, Hannah Richardson, Fernando Pérez-García, Stephanie L. Hyland, Shruthi Bannur, Daniel Coelho de Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Prasanna Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Steve K. Harris, Joseph Jacob
2025 — conf
Characterizations of Isoberlina Fiber Reinforced Recycled Low-Density Polyethylene Composites.
ENC
Uwaisu Yusuf, Nasiru A. Sani, Joseph Jacob, Nasir Sharif, Tushar Janardan Pawar, José Luis Olivares-Romero, Javier Vallejo-Montesinos, J. Oscar. Jimenez-Halla, Enrique Delgado-Alvarado
2024 J jnl
CenTime: Event-conditional modelling of censoring in survival analysis.
Medical Image Anal.
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
2024 J jnl
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology.
CoRR
Anja Thieme, Abhijith Rajamohan, Benjamin Cooper, Heather Groombridge, Robert Simister, Barney Wong, Nicholas Woznitza, Mark Ames Pinnock, Maria Teodora Wetscherek, Cecily Morrison, Hannah Richardson, Fernando Pérez-García, Stephanie L. Hyland, Shruthi Bannur, Daniel C. Castro, Kenza Bouzid, Anton Schwaighofer, Mercy Ranjit, Harshita Sharma, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle, Aditya V. Nori, Stephen Harris, Joseph Jacob
2024 J jnl
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning.
Comput. Medical Imaging Graph.
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander, Arjun Nair, Joseph Jacob
2024 J jnl
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
Comput. methods Biomech. Biomed. Eng. Imaging Vis.
Ashkan Pakzad, Wing Keung Cheung, Coline H. M. Van Moorsel, Kin Quan, Nesrin Mogulkoc, Brian J. Bartholmai, H. W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, T. Peikert, R. D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, Dave Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob
2024 J jnl
Expectation maximisation pseudo labels.
Medical Image Anal.
Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2024 — conf
Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.
FAIMI/EPIMI@MICCAI
John McCabe, Daryl Cheng, Amyn Bhamani, Monica Mullin, Tanya Patrick, Arjun Nair, Sam M. Janes, Carole H. Sudre, Joseph Jacob
2024 J jnl
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance.
J. Big Data
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob
2024 J jnl
MRI Parameter Mapping via Gaussian Mixture VAE: Breaking the Assumption of Independent Pixels.
CoRR
Moucheng Xu, Yukun Zhou, Tobias Goodwin-Allcock, Kimia Firoozabadi, Joseph Jacob, Daniel C. Alexander, Paddy J. Slator
2024 A* conf
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CHI
Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
2024 J jnl
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology.
CoRR
Nur Yildirim, Hannah Richardson, Maria T. A. Wetscherek, Junaid Bajwa, Joseph Jacob, Mark A. Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Pérez-García, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme
2024 — conf
Spectral Transition Evaluation and Heatmap Extraction for Deep Learning Classifiers.
MICAD
Mehran Azimbagirad, Pardeep Vasudev, Adam Szmul, John McCabe, Shahab Aslani, Niccolò McConnell, Brintha Selvarajah, Amyn Bhamani, Daniel C. Alexander, Joseph Jacob
2023 J jnl
A 3D deep learning classifier and its explainability when assessing coronary artery disease.
CoRR
Wing Keung Cheung, Jeremy Kalindjian, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
2023 J jnl
A data-centric deep learning approach to airway segmentation.
CoRR
Wing Keung Cheung, Ashkan Pakzad, Nesrin Mogulkoc, Sarah Needleman, Bojidar Rangelov, Eyjolfur Gudmundsson, An Zhao, Mariam Abbas, Davina McLaverty, Dimitrios Asimakopoulos, Robert Chapman, Recep Savas, Sam M. Janes, Yipeng Hu, Daniel C. Alexander, John R. Hurst, Joseph Jacob
2023 J jnl
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study.
CoRR
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob
2023 J jnl
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis.
CoRR
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
2023 J jnl
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2023 J jnl
Learning from multiple annotators for medical image segmentation.
Pattern Recognit.
Le Zhang, Ryutaro Tanno, Moucheng Xu, Yawen Huang, Kevin Bronik, Chen Jin, Joseph Jacob, Yefeng Zheng, Ling Shao, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
2023 J jnl
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 — conf
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis.
DGM4MICCAI@MICCAI
Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob
2022 J jnl
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis.
CoRR
Ashkan Pakzad, Mou-Cheng Xu, Wing Keung Cheung, Marie Vermant, Tinne Goos, Laurens J. De Sadeleer, Stijn E. Verleden, Wim A. Wuyts, John R. Hurst, Joseph Jacob
2022 J jnl
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2022 — conf
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
MICCAI (5)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
2022 J jnl
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial.
IEEE Access
Yaozhi Lu, Shahab Aslani, Mark Emberton, Daniel C. Alexander, Joseph Jacob
2022 J jnl
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning.
CoRR
Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Arjun Nair, Daniel C. Alexander, SUMMIT Consortium, Joseph Jacob
2022 — conf
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
MIDL
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 J jnl
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
2022 — conf
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
MICAD
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
2022 J jnl
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors.
CoRR
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
2022 — conf
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis.
MICCAI (8)
An Zhao, Ahmed H. Shahin, Yukun Zhou, Eyjolfur Gudmundsson, Adam Szmul, Nesrin Mogulkoc, Frouke Van Beek, Christopher Brereton, Hendrik W. Van Es, Katarina Pontoppidan, Recep Savas, Timothy Wallis, Omer Unat, Marcel Veltkamp, Mark G. Jones, Coline H. M. Van Moorsel, David Barber, Joseph Jacob, Daniel C. Alexander
2022 — conf
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.
MIDL
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
2022 J jnl
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data.
CoRR
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
2021 J jnl
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning.
IEEE Access
Wing Keung Cheung, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob
2021 J jnl
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease.
CoRR
Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H. M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, Tobias Peikert, Ryan D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, David J. Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob
2021 — conf
Learning to Address Intra-segment Misclassification in Retinal Imaging.
MICCAI (1)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
2021 J jnl
Learning to Address Intra-segment Misclassification in Retinal Imaging.
CoRR
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
2021 J jnl
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
2020 A* conf
Disentangling Human Error from Ground Truth in Segmentation of Medical Images.
NeurIPS
Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander
2020 J jnl
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images.
CoRR
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
2020 A conf
Learning To Pay Attention To Mistakes.
BMVC
Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
2020 J jnl
Learning To Pay Attention To Mistakes.
CoRR
Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
2020 — conf
Prevention of Fault Attacks in ASCON Authenticated Cipher Using Cellular Automata.
ACRI
Joseph Jacob, Jossy Joseph, M. K. Abinshad, Ambili K. N, Jimmy Jose
2020 — conf
Strengthening ACORN Authenticated Cipher with Cellular Automata.
ACRI
Jossy Joseph, Joseph Jacob, M. K. Abinshad, Ambili K. N, Jimmy Jose
2020 J jnl
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic.
CoRR
Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov
2020 J jnl
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic.
Nat. Mach. Intell.
Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov
2019 — conf
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection.
MLMI@MICCAI
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
2019 J jnl
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection.
CoRR
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
2019 J jnl
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis.
CoRR
Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes
2019 J jnl
Tapering Analysis of Airways with Bronchiectasis.
CoRR
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
2018 B conf
Tapering analysis of airways with bronchiectasis.
Image Processing
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
2017 — conf
Manifold Learning of COPD.
MICCAI (3)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
2017 J jnl
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior.
IEEE Trans. Medical Imaging
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
2000 — conf
Building large scale mosiacs from Landsat data.
ACM-GIS
Lucian Plesea, Joseph Jacob