- Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR abs/2303.17908 (2023) - Sarah Cechnicka, James Ball, Callum Arthurs, Candice Roufosse, Bernhard Kainz:
Realistic Data Enrichment for Robust Image Segmentation in Histopathology. CoRR abs/2304.09534 (2023) - Mischa Dombrowski, Bernhard Kainz:
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting. CoRR abs/2306.01363 (2023) - Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz:
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR abs/2306.09269 (2023) - Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz:
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR abs/2307.00899 (2023) - Berke Doga Basaran, Weitong Zhang, Mengyun Qiao, Bernhard Kainz, Paul M. Matthews, Wenjia Bai:
LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation. CoRR abs/2308.09026 (2023) - Sudarshan Sreeram, Bernhard Kainz:
Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference. CoRR abs/2309.05090 (2023) - Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR abs/2310.04187 (2023) - Hadrien Reynaud, Bernhard Kainz:
Exploring the Hyperparameter Space of Image Diffusion Models for Echocardiogram Generation. CoRR abs/2311.01567 (2023) - Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR abs/2311.15453 (2023) - Franciskus Xaverius Erick, Mina Rezaei, Johanna Paula Müller, Bernhard Kainz:
Stochastic Vision Transformers with Wasserstein Distance-Aware Attention. CoRR abs/2311.18645 (2023) - Sarah Cechnicka, Hadrien Reynaud, James Ball, Naomi Simmonds, Catherine Horsfield, Andrew Smith, Candice Roufosse, Bernhard Kainz:
Ultra-Resolution Cascaded Diffusion Model for Gigapixel Image Synthesis in Histopathology. CoRR abs/2312.01152 (2023) - 2022
- Qi Dou, Tiffany Y. So, Meirui Jiang, Quande Liu, Varut Vardhanabhuti, Georgios Kaissis, Zeju Li, Weixin Si, Heather H. C. Lee, Kevin Yu, Zuxin Feng, Li Dong, Egon Burian, Friederike Jungmann, Rickmer Braren, Marcus R. Makowski, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Simon C. H. Yu, Pheng-Ann Heng:
Author Correction: Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. npj Digit. Medicine 5 (2022) - Alberto Gómez, Veronika A. Zimmer, Gavin Wheeler, Nicolas Toussaint, Shujie Deng, Robert Wright, Emily Skelton, Jackie Matthews, Bernhard Kainz, Joseph V. Hajnal, Julia A. Schnabel:
PRETUS: A plug-in based platform for real-time ultrasound imaging research. SoftwareX 17: 100959 (2022) - Tian-Rui Liu, Qingjie Meng, Junjie Huang, Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
Video Summarization Through Reinforcement Learning With a 3D Spatio-Temporal U-Net. IEEE Trans. Image Process. 31: 1573-1586 (2022) - David Zimmerer, Peter M. Full, Fabian Isensee, Paul Jäger, Tim Adler, Jens Petersen, Gregor Köhler, Tobias Roß, Annika Reinke, Antanas Kascenas, Bjørn Sand Jensen, Alison Q. O'Neil, Jeremy Tan, Benjamin Hou, James Batten, Huaqi Qiu, Bernhard Kainz, Nina Shvetsova, Irina Fedulova, Dmitry V. Dylov, Baolun Yu, Jianyang Zhai, Jingtao Hu, Runxuan Si, Sihang Zhou, Siqi Wang, Xinyang Li, Xuerun Chen, Yang Zhao, Sergio Naval Marimont, Giacomo Tarroni, Victor Saase, Lena Maier-Hein, Klaus H. Maier-Hein:
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images. IEEE Trans. Medical Imaging 41(10): 2728-2738 (2022) - Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc:
A variational Bayesian method for similarity learning in non-rigid image registration. CVPR 2022: 119-128 - Hannah M. Schlüter, Jeremy Tan, Benjamin Hou, Bernhard Kainz:
Natural Synthetic Anomalies for Self-supervised Anomaly Detection and Localization. ECCV (31) 2022: 474-489 - Luca Schmidtke, Benjamin Hou, Athanasios Vlontzos, Bernhard Kainz:
Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering. ECCV Workshops (3) 2022: 704-713 - Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI 2022: 103-112 - Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI 2022: 106-116 - Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary:
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. EPIMI/ML-CDS@MICCAI 2022: 123-133 - Cheng Ouyang, Shuo Wang, Chen Chen, Zeju Li, Wenjia Bai, Bernhard Kainz, Daniel Rueckert:
Improved Post-hoc Probability Calibration for Out-of-Domain MRI Segmentation. UNSURE@MICCAI 2022: 59-69 - Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. MICCAI (8) 2022: 599-609 - Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. CoRR abs/2202.08329 (2022) - Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary:
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. CoRR abs/2205.08239 (2022) - Hadrien Reynaud, Athanasios Vlontzos, Mischa Dombrowski, Ciarán M. Gilligan-Lee, Arian Beqiri, Paul Leeson, Bernhard Kainz:
D'ARTAGNAN: Counterfactual Video Generation. CoRR abs/2206.01651 (2022) - Athanasios Vlontzos, Hadrien Reynaud, Bernhard Kainz:
Is More Data All You Need? A Causal Exploration. CoRR abs/2206.02409 (2022) - Athanasios Vlontzos, Daniel Rueckert, Bernhard Kainz:
A Review of Causality for Learning Algorithms in Medical Image Analysis. CoRR abs/2206.05498 (2022) - Veronika A. Zimmer, Alberto Gómez, Emily Skelton, Robert Wright, Gavin Wheeler, Shujie Deng, Nooshin Ghavami, Karen Lloyd, Jacqueline Matthew, Bernhard Kainz, Daniel Rueckert, Joseph V. Hajnal, Julia A. Schnabel:
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View. CoRR abs/2206.14746 (2022)