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Publication date	- (ex : 2010-2015)

Unrealistic Data Augmentation Improves the Robustness of Deep Learning-Based Classification of Dopamine Transporter SPECT Against Variability Between Sites and Between Cameras

Academic Journal

Buddenkotte, T.; Buchert, R.

In: Journal of nuclear medicine : official publication, Society of Nuclear Medicine. (Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 3 September 2024, 65(9):1463-1466)

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BrainLossNet: a fast, accurate and robust method to estimate brain volume loss from longitudinal MRI

Academic Journal

Opfer, R.; Krüger, J.; Spies, L.; Buddenkotte, T.; Buchert, R.; Behrendt, F.; Schippling, S.

In: International Journal of Computer Assisted Radiology and Surgery. (International Journal of Computer Assisted Radiology and Surgery, September 2024, 19(9):1763-1771)

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Dopamine Transporter SPECT with 12-Minute Scan Duration Using Multiple-Pinhole Collimators

Academic Journal

Buchert, R.; Buddenkotte, T.; Mathies, F.; Karimzadeh, A.; Lehnert, W.; Klutmann, S.; Apostolova, I.; Szabo, B.; Kovacs, A.; Forgacs, A.

In: Journal of Nuclear Medicine. (Journal of Nuclear Medicine, 1 March 2024, 65(3):446-452)

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Deep learning-based segmentation of multisite disease in ovarian cancer

Academic Journal

Buddenkotte, T.; Etmann, C.; Mukherjee, S.; Schönlieb, C.-B.; Rundo, L.; Woitek, R.; Escudero Sanchez, L.; Beer, L.; Bura, V.; McCague, C.; Sahin, H.; Allajbeu, I.; Sala, E.; Crispin-Ortuzar, M.; Brenton, J.D.; Pintican, R.; Zerunian, M.; Singh, N.; Sahdev, A.; Havrilesky, L.; Cohn, D.E.; Bateman, N.W.; Conrads, T.P.; Darcy, K.M.; Maxwell, G.L.; Freymann, J.B.; Öktem, O.

In: European Radiology Experimental. (European Radiology Experimental, December 2023, 7(1))

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Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case

Academic Journal

Escudero Sanchez, L.; Buddenkotte, T.; McCague, C.; Rundo, L.; Graves, M.J.; Woitek, R.; Sala, E.; Crispin-Ortuzar, M.; Al Sa’d, M.; Darcy, J.; Doran, S.J.; Schönlieb, C.-B.; Samoshkin, A.; Hollamby, V.; Browne, P.; Öktem, O.

In: Diagnostics. (Diagnostics, September 2023, 13(17))

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Calibrating ensembles for scalable uncertainty quantification in deep learning-based medical image segmentation

Academic Journal

Buddenkotte, T.; Escudero Sanchez, L.; Woitek, R.; McCague, C.; Sala, E.; Rundo, L.; Crispin-Ortuzar, M.; Brenton, J.D.; Öktem, O.

In: Computers in Biology and Medicine. (Computers in Biology and Medicine, September 2023, 163)

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Clinically Interpretable Radiomics-Based Prediction of Histopathologic Response to Neoadjuvant Chemotherapy in High-Grade Serous Ovarian Carcinoma

Academic Journal

Rundo, L.; Beer, L.; Escudero Sanchez, L.; McCague, C.; Sahin, H.; Bura, V.; Ursprung, S.; Allajbeu, I.; Sala, E.; Woitek, R.; Crispin-Ortuzar, M.; Reinius, M.; Martin-Gonzalez, P.; Funingana, I.-G.; Jimenez-Linan, M.; Markowetz, F.; Brenton, J.D.; Addley, H.; Pintican, R.; Zerunian, M.; Buddenkotte, T.; Singh, N.; Sahdev, A.

In: Frontiers in Oncology. (Frontiers in Oncology, 16 June 2022, 12)

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Automated Small Kidney Cancer Detection in Non-Contrast Computed Tomography

Conference

Mcgough, W.; Gao, Z.; Crispin-Ortuzar, M.; Buddenkotte, T.; Ursprung, S.; Stewart, G.D.

In: Proceedings - International Symposium on Biomedical Imaging, IEEE International Symposium on Biomedical Imaging, ISBI 2024 - Conference Proceedings. (Proceedings - International Symposium on Biomedical Imaging, 2024)

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