Joseph Jacob

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 47

Top Topics

Segmentation Of Medical Images

Expectation Maximization

Top Venues

Medical Image Anal.

IEEE Trans. Medical Imaging

Publications

Ashkan Pakzad, W. K. 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, D. C. Alexander, Peter A. Wijeratne, Dave Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12 (1) (2024)
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
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CHI (2024)
Moucheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Expectation maximisation pseudo labels. Medical Image Anal. 94 (2024)
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
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116 (2024)
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
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. CoRR (2024)
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
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. J. Big Data 11 (1) (2024)
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
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CoRR (2024)
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
CenTime: Event-conditional modelling of censoring in survival analysis. Medical Image Anal. 91 (2024)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. IEEE Trans. Medical Imaging 42 (10) (2023)
Ahmed H. Shahin, An Zhao, Alexander C. Whitehead, Daniel C. Alexander, Joseph Jacob, David Barber
CenTime: Event-Conditional Modelling of Censoring in Survival Analysis. CoRR (2023)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations. CoRR (2023)
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
A 3D deep learning classifier and its explainability when assessing coronary artery disease. CoRR (2023)
Yaozhi Lu, Shahab Aslani, An Zhao, Ahmed H. Shahin, David Barber, Mark Emberton, Daniel C. Alexander, Joseph Jacob
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study. CoRR (2023)
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
A data-centric deep learning approach to airway segmentation. CoRR (2023)
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
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138 (2023)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. MICCAI (5) (2022)
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. CoRR (2022)
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
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis. CoRR (2022)
Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young, Yipeng Hu, Paul Taylor, Daniel C. Alexander, Joseph Jacob
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. CoRR (2022)
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
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. MICCAI (8) (2022)
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. MIDL (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. MIDL (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. CoRR (2022)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation. CoRR (2022)
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
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. CoRR (2022)
Yaozhi Lu, Shahab Aslani, Mark Emberton, Daniel C. Alexander, Joseph Jacob
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access 10 (2022)
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
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. DGM4MICCAI@MICCAI (2022)
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
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access 9 (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR (2021)
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation. CoRR (2021)
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
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. CoRR (2021)
Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) (2021)
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR (2020)
Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander
Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS (2020)
Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. Nat. Mach. Intell. 2 (6) (2020)
Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
Learning To Pay Attention To Mistakes. BMVC (2020)
Joseph Jacob, Jossy Joseph, M. K. Abinshad, Ambili K. N, Jimmy Jose
Prevention of Fault Attacks in ASCON Authenticated Cipher Using Cellular Automata. ACRI (2020)
Jossy Joseph, Joseph Jacob, M. K. Abinshad, Ambili K. N, Jimmy Jose
Strengthening ACORN Authenticated Cipher with Cellular Automata. ACRI (2020)
Yipeng Hu, Joseph Jacob, Geoffrey J. M. Parker, David J. Hawkes, John R. Hurst, Danail Stoyanov
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. CoRR (2020)
Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob
Learning To Pay Attention To Mistakes. CoRR (2020)
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
Tapering Analysis of Airways with Bronchiectasis. CoRR (2019)
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection. MLMI@MICCAI (2019)
Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection. CoRR (2019)
Kin Quan, Ryutaro Tanno, Rebecca J. Shipley, Jeremy S. Brown, Joseph Jacob, John R. Hurst, David J. Hawkes
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis. CoRR (2019)
Kin Quan, Rebecca J. Shipley, Ryutaro Tanno, Graeme McPhillips, Vasileios Vavourakis, David Edwards, Joseph Jacob, John R. Hurst, David J. Hawkes
Tapering analysis of airways with bronchiectasis. Medical Imaging: Image Processing (2018)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior. IEEE Trans. Medical Imaging 36 (8) (2017)
Felix J. S. Bragman, Jamie R. McClelland, Joseph Jacob, John R. Hurst, David J. Hawkes
Manifold Learning of COPD. MICCAI (3) (2017)
Lucian Plesea, Joseph Jacob
Building large scale mosiacs from Landsat data. ACM-GIS (2000)