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Joseph Jacob
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2020 – today
- 2024
- [j11]Ashkan Pakzad
, Wing Keung Cheung
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 12(1) (2024) - [j10]Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst, Sam M. Janes, Rahul Chakkara, Daniel C. Alexander
Enhancing cancer prediction in challenging screen-detected incident lung nodules using time-series deep learning. Comput. Medical Imaging Graph. 116: 102399 (2024) - [j9]Wing Keung Cheung
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. J. Big Data 11(1): 104 (2024) - [j8]Ahmed H. Shahin
CenTime: Event-conditional modelling of censoring in survival analysis. Medical Image Anal. 91: 103016 (2024) - [j7]Moucheng Xu
Expectation maximisation pseudo labels. Medical Image Anal. 94: 103125 (2024) - [c17]Nur Yildirim
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CHI 2024: 444:1-444:22 - [c16]John McCabe, Daryl Cheng, Amyn Bhamani, Monica Mullin, Tanya Patrick, Arjun Nair, Sam M. Janes, Carole H. Sudre, Joseph Jacob:
Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms. FAIMI/EPIMI@MICCAI 2024: 78-87 - [i22]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
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. CoRR abs/2402.14252 (2024) - [i21]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
Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology. CoRR abs/2405.05299 (2024) - 2023
- [j6]Le Zhang
Learning from multiple annotators for medical image segmentation. Pattern Recognit. 138: 109400 (2023) - [j5]Mou-Cheng Xu
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels. IEEE Trans. Medical Imaging 42(10): 2988-2999 (2023) - [i20]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 abs/2303.10789 (2023) - [i19]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander
Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations. CoRR abs/2305.01747 (2023) - [i18]Wing Keung Cheung
A data-centric deep learning approach to airway segmentation. CoRR abs/2308.00008 (2023) - [i17]Wing Keung Cheung
A 3D deep learning classifier and its explainability when assessing coronary artery disease. CoRR abs/2308.00009 (2023) - [i16]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 abs/2309.03851 (2023) - 2022
- [j4]Yaozhi Lu
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial. IEEE Access 10: 34369-34378 (2022) - [c15]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. MICAD 2022: 245-254 - [c14]Ashkan Pakzad
Airway Measurement by Refinement of Synthetic Images Improves Mortality Prediction in Idiopathic Pulmonary Fibrosis. DGM4MICCAI@MICCAI 2022: 106-116 - [c13]An Zhao, Ahmed H. Shahin, Yukun Zhou
Prognostic Imaging Biomarker Discovery in Survival Analysis for Idiopathic Pulmonary Fibrosis. MICCAI (8) 2022: 223-233 - [c12]Mou-Cheng Xu, Yukun Zhou
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation. MICCAI (5) 2022: 580-590 - [c11]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: 1057-1074 - [c10]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: 1413-1429 - [i15]Mou-Cheng Xu, Yukun Zhou
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation. CoRR abs/2203.10196 (2022) - [i14]Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber:
Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data. CoRR abs/2203.11391 (2022) - [i13]Shahab Aslani, Pavan Alluri, Eyjolfur Gudmundsson, Edward Chandy, John McCabe, Anand Devaraj, Carolyn Horst
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning. CoRR abs/2203.16606 (2022) - [i12]Mou-Cheng Xu, Yukun Zhou
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation. CoRR abs/2208.04435 (2022) - [i11]Shahab Aslani, Watjana Lilaonitkul, Vaishnavi Gnanananthan, Divya Raj, Bojidar Rangelov, Alexandra L. Young
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors. CoRR abs/2208.10320 (2022) - [i10]Ashkan Pakzad
Airway measurement by refinement of synthetic images improves mortality prediction in idiopathic pulmonary fibrosis. CoRR abs/2208.14141 (2022) - 2021
- [j3]Wing Keung Cheung
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access 9: 108873-108888 (2021) - [c9]Yukun Zhou
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) 2021: 482-492 - [i9]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 abs/2104.12138 (2021) - [i8]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 abs/2110.12179 (2021) - [i7]Ashkan Pakzad
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. CoRR abs/2111.10443 (2021) - 2020
- [j2]Yipeng Hu
The challenges of deploying artificial intelligence models in a rapidly evolving pandemic. Nat. Mach. Intell. 2(6): 298-300 (2020) - [c8]Jossy Joseph, Joseph Jacob, M. K. Abinshad, Ambili K. N
Strengthening ACORN Authenticated Cipher with Cellular Automata. ACRI 2020: 8-17 - [c7]Joseph Jacob, Jossy Joseph, M. K. Abinshad, Ambili K. N
Prevention of Fault Attacks in ASCON Authenticated Cipher Using Cellular Automata. ACRI 2020: 18-25 - [c6]Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. BMVC 2020 - [c5]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 - [i6]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 abs/2005.12137 (2020) - [i5]Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. CoRR abs/2007.15131 (2020) - [i4]Le Zhang
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR abs/2007.15963 (2020)
2010 – 2019
- 2019
- [c4]Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley
Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection. MLMI@MICCAI 2019: 345-354 - [i3]Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark G. Jones, Christopher Brereton, John R. Hurst, David J. Hawkes, Joseph Jacob:
Modelling Airway Geometry as Stock Market Data using Bayesian Changepoint Detection. CoRR abs/1906.12225 (2019) - [i2]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 abs/1909.06604 (2019) - [i1]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 abs/1909.07454 (2019) - 2018
- [c3]Kin Quan, Rebecca J. Shipley
Tapering analysis of airways with bronchiectasis. Image Processing 2018: 105742G - 2017
- [j1]Felix J. S. Bragman
Pulmonary Lobe Segmentation With Probabilistic Segmentation of the Fissures and a Groupwise Fissure Prior. IEEE Trans. Medical Imaging 36(8): 1650-1663 (2017) - [c2]Felix J. S. Bragman, Jamie R. McClelland
Manifold Learning of COPD. MICCAI (3) 2017: 586-593
2000 – 2009
- 2000
- [c1]Lucian Plesea, Joseph Jacob:
Building large scale mosiacs from Landsat data. ACM-GIS 2000: 180-182
Coauthor Index
Moucheng Xu
aka: Mou-Cheng Xu
aka: Mou-Cheng Xu
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last updated on 2024-12-10 21:47 CET by the dblp team
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