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Daniel R. McGowan
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2020 – today
- 2024
- [c6]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 - [c5]Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas:
Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. UNSURE@MICCAI 2024: 70-80 - [c4]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 - [i4]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) - [i3]Hermione Warr, Yasin Ibrahim, Daniel R. McGowan, Konstantinos Kamnitsas:
Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components. CoRR abs/2407.21638 (2024) - [i2]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) - 2021
- [c3]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 - [i1]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)
2010 – 2019
- 2018
- [c2]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 - 2017
- [c1]G. P. Ralli, Daniel R. McGowan
, Michael A. Chappell, Ricky A. Sharma, Geoff S. Higgins
, J. D. Fenwick:
4D-PET reconstruction of dynamic non-small cell lung cancer [18-F]-FMISO-PET data using adaptive-knot cubic B-splines. ISBI 2017: 1189-1192
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