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Bartlomiej Wladyslaw Papiez
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- affiliation: University of Oxford, UK
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2020 – today
- 2025
- 2024
- [j13]Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Ngee Han Lim, Bartlomiej W. Papiez:
Residual Aligner-based Network (RAN): Motion-separable structure for coarse-to-fine discontinuous deformable registration. Medical Image Anal. 91: 103038 (2024) - [j12]Yuanhan Mo, Fangde Liu, Guang Yang, Shuo Wang, Jian-Qing Zheng, Fuping Wu, Bartlomiej W. Papiez, Douglas McIlwraith, Taigang He, Yike Guo:
Labelling with dynamics: A data-efficient learning paradigm for medical image segmentation. Medical Image Anal. 95: 103196 (2024) - [c40]Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdalá Morgado, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu:
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting. EMNLP 2024: 18891-18919 - [c39]Rowan Bradbury, Katherine A. Vallis, Bartlomiej W. Papiez:
Paired Diffusion: Generation of Related, Synthetic PET-CT-Segmentation Scans Using Linked Denoising Diffusion Probabilistic Models. ISBI 2024: 1-5 - [c38]Mona Furukawa, Daniel R. McGowan, Bartlomiej W. Papiez:
Prediction of Recurrence Free Survival of Head and Neck Cancer Using PET/CT Radiomics and Clinical Information. ISBI 2024: 1-5 - [c37]Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez:
Spinal Osteophyte Detection Via Robust Patch Extraction on Minimally Annotated X-Rays. ISBI 2024: 1-5 - [c36]Anissa Alloula, Rima Mustafa, Daniel R. McGowan, Bartlomiej W. Papiez:
On Biases in a UK Biobank-Based Retinal Image Classification Model. FAIMI/EPIMI@MICCAI 2024: 140-150 - [c35]Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub:
TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation. DGM4MICCAI@MICCAI 2024: 169-179 - [c34]Yuhan Zheng, Jessie A Elliott, John V. Reynolds, Sheraz R. Markar, Bartlomiej W. Papiez, ENSURE study group:
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery. CaPTion@MICCAI 2024: 176-189 - [c33]Jiahua Li, James T. Grist, Fergus V. Gleeson, Bartlomiej W. Papiez:
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. MIUA (2) 2024: 216-226 - [c32]Zhiyan Bo, Laura C. Coates, Bartlomiej W. Papiez:
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis. MIUA (2) 2024: 398-413 - [i21]Mona Furukawa, Daniel R. McGowan, Bartlomiej W. Papiez:
Prediction of recurrence free survival of head and neck cancer using PET/CT radiomics and clinical information. CoRR abs/2402.18417 (2024) - [i20]Soumya Snigdha Kundu, Yuanhan Mo, Nicharee Srikijkasemwat, Bartlomiej W. Papiez:
Spinal Osteophyte Detection via Robust Patch Extraction on minimally annotated X-rays. CoRR abs/2402.19263 (2024) - [i19]Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov, Vijay Ram Papineni, Ibrahim Almakky, Bartlomiej W. Papiez, Mohammad Yaqub:
TiBiX: Leveraging Temporal Information for Bidirectional X-ray and Report Generation. CoRR abs/2403.13343 (2024) - [i18]Rowan Bradbury, Katherine A. Vallis, Bartlomiej W. Papiez:
Paired Diffusion: Generation of related, synthetic PET-CT-Segmentation scans using Linked Denoising Diffusion Probabilistic Models. CoRR abs/2403.17734 (2024) - [i17]Zhiyan Bo, Laura C. Coates, Bartlomiej W. Papiez:
Deep Learning Models to Automate the Scoring of Hand Radiographs for Rheumatoid Arthritis. CoRR abs/2406.09980 (2024) - [i16]Jiahua Li, James T. Grist, Fergus V. Gleeson, Bartlomiej W. Papiez:
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss. CoRR abs/2406.15172 (2024) - [i15]Jian-Qing Zheng, Yuanhan Mo, Yang Sun, Jiahua Li, Fuping Wu, Ziyang Wang, Tonia Vincent, Bartlomiej W. Papiez:
Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis. CoRR abs/2407.07295 (2024) - [i14]Anissa Alloula, Rima Mustafa, Daniel R. McGowan, Bartlomiej W. Papiez:
On Biases in a UK Biobank-based Retinal Image Classification Model. CoRR abs/2408.02676 (2024) - [i13]Yuhan Zheng, Jessie A Elliott, John V. Reynolds, Sheraz R. Markar, Bartlomiej W. Papiez, ENSURE study group:
Deep Neural Networks for Predicting Recurrence and Survival in Patients with Esophageal Cancer After Surgery. CoRR abs/2409.00163 (2024) - 2023
- [j11]Jian-Qing Zheng, Ngee Han Lim, Bartlomiej W. Papiez:
Accurate volume alignment of arbitrarily oriented tibiae based on a mutual attention network for osteoarthritis analysis. Comput. Medical Imaging Graph. 106: 102204 (2023) - [j10]Le Zhang, Kevin Bronik, Bartlomiej W. Papiez:
Learning to restore multiple image degradations simultaneously. Pattern Recognit. 136: 109250 (2023) - [c31]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
Multi-task Cooperative Learning via Searching for Flat Minima. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 171-181 - [i12]Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Indrajeet Mandal, Faiz Jabbar, Thibaud Coroller, Bartlomiej W. Papiez:
VertXNet: An Ensemble Method for Vertebrae Segmentation and Identification of Spinal X-Ray. CoRR abs/2302.03476 (2023) - [i11]Yuanhan Mo, Yao Chen, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartlomiej W. Papiez:
Towards Automatic Scoring of Spinal X-ray for Ankylosing Spondylitis. CoRR abs/2308.05123 (2023) - [i10]Fuping Wu, Le Zhang, Yang Sun, Yuanhan Mo, Thomas E. Nichols, Bartlomiej W. Papiez:
Multi-Task Cooperative Learning via Searching for Flat Minima. CoRR abs/2309.12090 (2023) - 2022
- [j9]Felipe Moser, Ruobing Huang, INTERGROWTH-21 Consortium, Bartlomiej W. Papiez, Ana I. L. Namburete:
BEAN: Brain Extraction and Alignment Network for 3D Fetal Neurosonography. NeuroImage 258: 119341 (2022) - [c30]Yuhan Zheng, Fuping Wu, Bartlomiej W. Papiez:
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. MIDOG/DRAC@MICCAI 2022: 46-58 - [c29]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-Ray Pathologies in Natural Language. MICCAI (5) 2022: 701-713 - [c28]Benjamin Duvieusart, Felix Krones, Guy Parsons, Lionel Tarassenko, Bartlomiej W. Papiez, Adam Mahdi:
Multimodal Cardiomegaly Classification with Image-Derived Digital Biomarkers. MIUA 2022: 13-27 - [c27]Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Tonia Vincent, Ngee Han Lim, Bartlomiej W. Papiez:
Recursive Deformable Image Registration Network with Mutual Attention. MIUA 2022: 75-86 - [e5]Luigi Manfredi, Seyed-Ahmad Ahmadi, Michael M. Bronstein, Anees Kazi, Davide Lomanto, Alwyn Mathew, Ludovic Magerand, Kamilia Mullakaeva, Bartlomiej W. Papiez, Russell H. Taylor, Emanuele Trucco:
Imaging Systems for GI Endoscopy, and Graphs in Biomedical Image Analysis - First MICCAI Workshop, ISGIE 2022, and Fourth MICCAI Workshop, GRAIL 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings. Lecture Notes in Computer Science 13754, Springer 2022, ISBN 978-3-031-21082-2 [contents] - [i9]Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Ngee Han Lim, Bartlomiej W. Papiez:
Residual Aligner Network. CoRR abs/2203.04290 (2022) - [i8]Jian-Qing Zheng, Ziyang Wang, Baoru Huang, Ngee Han Lim, Tonia Vincent, Bartlomiej W. Papiez:
Recursive Deformable Image Registration Network with Mutual Attention. CoRR abs/2206.01863 (2022) - [i7]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-ray Pathologies in Natural Language. CoRR abs/2207.04343 (2022) - [i6]Yao Chen, Yuanhan Mo, Aimee Readie, Gregory Ligozio, Thibaud Coroller, Bartlomiej W. Papiez:
VertXNet: Automatic Segmentation and Identification of Lumbar and Cervical Vertebrae from Spinal X-ray Images. CoRR abs/2207.05476 (2022) - [i5]Yuhan Zheng, Fuping Wu, Bartlomiej W. Papiez:
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images. CoRR abs/2212.06265 (2022) - 2021
- [c26]Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartlomiej W. Papiez:
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival Using a Full-Scale UNet with Attention. HECKTOR@MICCAI 2021: 189-201 - [c25]Declan Grant, Bartlomiej W. Papiez, Guy Parsons, Lionel Tarassenko, Adam Mahdi:
Deep Learning Classification of Cardiomegaly Using Combined Imaging and Non-imaging ICU Data. MIUA 2021: 547-558 - [e4]Bartlomiej W. Papiez, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble:
Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings. Lecture Notes in Computer Science 12722, Springer 2021, ISBN 978-3-030-80431-2 [contents] - [i4]Jian-Qing Zheng, Ngee Han Lim, Bartlomiej W. Papiez:
D-Net: Siamese based Network with Mutual Attention for Volume Alignment. CoRR abs/2101.10248 (2021) - [i3]Emmanuelle Bourigault, Daniel R. McGowan, Abolfazl Mehranian, Bartlomiej W. Papiez:
Multimodal PET/CT Tumour Segmentation and Prediction of Progression-Free Survival using a Full-Scale UNet with Attention. CoRR abs/2111.03848 (2021) - 2020
- [j8]Bartlomiej W. Papiez, Bostjan Markelc, Graham Brown, Ruth J. Muschel, Michael Brady, Julia A. Schnabel:
Image-Based Artefact Removal in Laser Scanning Microscopy. IEEE Trans. Biomed. Eng. 67(1): 79-87 (2020) - [c24]Jian-Qing Zheng, Ngee Han Lim, Bartlomiej W. Papiez:
D-net: Siamese Based Network for Arbitrarily Oriented Volume Alignment. ShapeMI@MICCAI 2020: 73-84 - [e3]Carole H. Sudre, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian V. Dalca, Ryutaro Tanno, Koen Van Leemput, William M. Wells III, Aristeidis Sotiras, Bartlomiej W. Papiez, Enzo Ferrante, Sarah Parisot:
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis - Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings. Lecture Notes in Computer Science 12443, Springer 2020, ISBN 978-3-030-60364-9 [contents] - [e2]Bartlomiej W. Papiez, Ana I. L. Namburete, Mohammad Yaqub, J. Alison Noble:
Medical Image Understanding and Analysis - 24th Annual Conference, MIUA 2020, Oxford, UK, July 15-17, 2020, Proceedings. Communications in Computer and Information Science 1248, Springer 2020, ISBN 978-3-030-52790-7 [contents]
2010 – 2019
- 2019
- [j7]Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez:
Patch-based lung ventilation estimation using multi-layer supervoxels. Comput. Medical Imaging Graph. 74: 49-60 (2019) - [c23]Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete:
Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks. MIUA 2019: 151-163 - [i2]Felipe Moser, Ruobing Huang, Aris T. Papageorghiou, Bartlomiej W. Papiez, Ana I. L. Namburete:
Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks. CoRR abs/1911.07566 (2019) - 2018
- [j6]Piotr Swierczynski, Bartlomiej W. Papiez, Julia A. Schnabel, Colin B. Macdonald:
A level-set approach to joint image segmentation and registration with application to CT lung imaging. Comput. Medical Imaging Graph. 65: 58-68 (2018) - [c22]Ana I. L. Namburete, Raquel van Kampen, Aris T. Papageorghiou, Bartlomiej W. Papiez:
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas. DATRA/PIPPI@MICCAI 2018: 76-86 - [c21]Adam Szmul, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau, Bartlomiej W. Papiez:
XeMRI to CT Lung Image Registration Enhanced with Personalized 4DCT-Derived Motion Model. RAMBO+BIA+TIA@MICCAI 2018: 260-271 - [c20]Adam Szmul, Bartlomiej W. Papiez, Tahreema N. Matin, Fergus V. Gleeson, Julia A. Schnabel, Vicente Grau:
Regional lung ventilation estimation based on supervoxel tracking. Medical Imaging: Image-Guided Procedures 2018: 105761E - [c19]Bartlomiej W. Papiez, Daniel R. McGowan, Michael Skwarski, Geoff S. Higgins, Julia A. Schnabel, J. Michael Brady:
Fast Groupwise 4D Deformable Image Registration for Irregular Breathing Motion Estimation. WBIR 2018: 37-46 - [e1]Danail Stoyanov, Zeike Taylor, Enzo Ferrante, Adrian V. Dalca, Anne L. Martel, Lena Maier-Hein, Sarah Parisot, Aristeidis Sotiras, Bartlomiej W. Papiez, Mert R. Sabuncu, Li Shen:
Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities - Second International Workshop, GRAIL 2018 - and - First International Workshop, Beyond MIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11044, Springer 2018, ISBN 978-3-030-00688-4 [contents] - 2017
- [j5]Adam Szmul, Bartlomiej W. Papiez, Andre Hallack, Vicente Grau, Julia A. Schnabel:
Supervoxels for graph cuts-based deformable image registration using guided image filtering. J. Electronic Imaging 26(6): 61607 (2017) - [c18]Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel:
Mass Transportation for Deformable Image Registration with Application to Lung CT. CMMI/RAMBO/SWITCH@MICCAI 2017: 66-74 - 2016
- [j4]Mattias P. Heinrich, Ivor J. A. Simpson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel:
Deformable image registration by combining uncertainty estimates from supervoxel belief propagation. Medical Image Anal. 27: 57-71 (2016) - [j3]Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, Mike Brady, Julia A. Schnabel:
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. Medical Image Anal. 32: 69-83 (2016) - [j2]Julia A. Schnabel, Mattias P. Heinrich, Bartlomiej W. Papiez, J. Michael Brady:
Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Medical Image Anal. 33: 145-148 (2016) - [c17]Thais Roque, Bartlomiej W. Papiez, Veerle Kersemans, Sean Smart, Danny Allen, Michael A. Chappell, Julia A. Schnabel:
Tumor Growth Estimation via Registration of DCE-MRI Derived Tumor Specific Descriptors. CVPR Workshops 2016: 507-515 - [c16]Adam Szmul, Bartlomiej W. Papiez, Russell Bates, Andre Hallack, Julia A. Schnabel, Vicente Grau:
Graph Cuts-Based Registration Revisited: A Novel Approach for Lung Image Registration Using Supervoxels and Image-Guided Filtering. CVPR Workshops 2016: 592-599 - [c15]Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel:
Non-local Graph-Based Regularization for Deformable Image Registration. MCV/BAMBI@MICCAI 2016: 199-207 - [i1]Benjamin Irving, James M. Franklin, Bartlomiej W. Papiez, Ewan M. Anderson, Ricky A. Sharma, Fergus V. Gleeson, J. Michael Brady, Julia A. Schnabel:
Pieces-of-parts for supervoxel segmentation with global context: Application to DCE-MRI tumour delineation. CoRR abs/1604.05210 (2016) - 2015
- [c14]Andre Hallack, Bartlomiej W. Papiez, James M. Wilson, Lai Mun Wang, Tim Maughan, Mark J. Gooding, Julia A. Schnabel:
Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptors. Patch-MI@MICCAI 2015: 137-145 - [c13]Russell Bates, Laurent Risser, Benjamin Irving, Bartlomiej W. Papiez, Pavitra Kannan, Veerle Kersemans, Julia A. Schnabel:
Filling Large Discontinuities in 3D Vascular Networks Using Skeleton- and Intensity-Based Information. MICCAI (3) 2015: 157-164 - [c12]Bartlomiej W. Papiez, Jamie Franklin, Mattias P. Heinrich, Fergus V. Gleeson, Julia A. Schnabel:
Liver Motion Estimation via Locally Adaptive Over-Segmentation Regularization. MICCAI (3) 2015: 427-434 - 2014
- [j1]Bartlomiej W. Papiez, Mattias P. Heinrich, Jérôme Fehrenbach, Laurent Risser, Julia A. Schnabel:
An implicit sliding-motion preserving regularisation via bilateral filtering for deformable image registration. Medical Image Anal. 18(8): 1299-1311 (2014) - [c11]Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels:
Multispectral Image Registration Based on Local Canonical Correlation Analysis. MICCAI (1) 2014: 202-209 - [c10]Benjamin Irving, Amalia Cifor, Bartlomiej W. Papiez, Jamie Franklin, Ewan M. Anderson, Michael Brady, Julia A. Schnabel:
Automated Colorectal Tumour Segmentation in DCE-MRI Using Supervoxel Neighbourhood Contrast Characteristics. MICCAI (1) 2014: 609-616 - [c9]Mattias P. Heinrich, Bartlomiej W. Papiez, Julia A. Schnabel, Heinz Handels:
Non-parametric Discrete Registration with Convex Optimisation. WBIR 2014: 51-61 - [c8]Bartlomiej W. Papiez, Thomas Tapmeier, Mattias P. Heinrich, Ruth J. Muschel, Julia A. Schnabel:
Motion Correction of Intravital Microscopy of Preclinical Lung Tumour Imaging Using Multichannel Structural Image Descriptor. WBIR 2014: 164-173 - 2013
- [c7]Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Fergus V. Gleeson, Michael Brady, Julia A. Schnabel:
Edge- and Detail-Preserving Sparse Image Representations for Deformable Registration of Chest MRI and CT Volumes. IPMI 2013: 463-474 - [c6]Bartlomiej W. Papiez, Mattias Paul Heinrich, Laurent Risser, Julia A. Schnabel:
Complex Lung Motion Estimation via Adaptive Bilateral Filtering of the Deformation Field. MICCAI (3) 2013: 25-32 - [c5]Mattias P. Heinrich, Mark Jenkinson, Bartlomiej W. Papiez, Michael Brady, Julia A. Schnabel:
Towards Realtime Multimodal Fusion for Image-Guided Interventions Using Self-similarities. MICCAI (1) 2013: 187-194 - 2012
- [b1]Bartlomiej W. Papiez:
Diffeomorphic image registration with applications to deformation modelling between multiple data sets. University of Central Lancashire, Preston, UK, 2012 - [c4]Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark, Wei Quan:
Facial Expression Recognition using Log-Euclidean Statistical Shape Models. ICPRAM (1) 2012: 351-359 - [c3]Bartlomiej W. Papiez, Bogdan J. Matuszewski, Lik-Kwan Shark, Christopher J. Moore:
An Implicit Inter-subject Shape Driven Image Deformation Model for Prostate Motion Estimation. Abdominal Imaging 2012: 218-228 - 2011
- [c2]Bartlomiej W. Papiez, Bogdan J. Matuszewski:
Direct inverse deformation field approach to pelvic-area symmetric image registration. MIUA 2011: 193-198 - 2010
- [c1]Bartlomiej W. Papiez, Tomasz P. Zielinski, Bogdan J. Matuszewski:
Deformable Image Registration - Improved Fast Free Form Deformation. VISAPP (1) 2010: 530-535
Coauthor Index
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