| VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ... Medical image analysis 73, 102166, 2021 | 239 | 2021 |
| Learning shape reconstruction from sparse measurements with neural implicit functions T Amiranashvili, D Lüdke, HB Li, B Menze, S Zachow International Conference on Medical Imaging with Deep Learning, 22-34, 2022 | 25 | 2022 |
| Landmark-Free Statistical Shape Modeling Via Neural Flow Deformations D Lüdke*, T Amiranashvili*, F Ambellan, I Ezhov, BH Menze, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 17 | 2022 |
| Learning continuous shape priors from sparse data with neural implicit functions T Amiranashvili, D Lüdke, HB Li, S Zachow, BH Menze Medical Image Analysis 94, 103099, 2024 | 4 | 2024 |
| Structured knowledge graphs for classifying unseen patterns in radiographs C Prabhakar, A Sekuboyina, HB Li, JC Paetzold, S Shit, T Amiranashvili, ... Geometric Deep Learning in Medical Image Analysis, 45-60, 2022 | 2 | 2022 |
| Improving Generalized Zero-Shot Learning for Multi-LabelChest X-ray Classification Using Knowledge Graphs C Prabhakar, A Sekuboyina, JC Paetzold, H Li, T Amiranashvili, ... | 2 | 2021 |
| QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge H Bran, F Navarro, I Ezhov, A Bayat, D Das, F Kofler, S Shit, ... arXiv preprint arXiv:2405.18435, 2024 | 1 | 2024 |
| A Domain-specific Perceptual Metric via Contrastive Self-supervised Representation: Applications on Natural and Medical Images HB Li, C Prabhakar, S Shit, J Paetzold, T Amiranashvili, J Zhang, ... arXiv preprint arXiv:2212.01577, 2022 | 1 | 2022 |
| 3D Vessel Graph Generation Using Denoising Diffusion C Prabhakar, S Shit, F Musio, K Yang, T Amiranashvili, JC Paetzold, HB Li, ... arXiv preprint arXiv:2407.05842, 2024 | | 2024 |
| Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere HB Li, C Ouyang, T Amiranashvili, MS Rosen, B Menze, JE Iglesias arXiv preprint arXiv:2405.16460, 2024 | | 2024 |
| Simulation-Based Segmentation of Blood Vessels in Cerebral 3D OCTA Images B Wittmann, L Glandorf, JC Paetzold, T Amiranashvili, T Wälchli, ... arXiv preprint arXiv:2403.07116, 2024 | | 2024 |
| A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling I Ezhov, M Rosier, L Zimmer, F Kofler, S Shit, JC Paetzold, K Scibilia, ... Machine Learning for Health, 566-577, 2022 | | 2022 |
| Casting the inverse problem as a database query. The case of personalized tumor growth modeling. I Ezhov, M Rosier, L Zimmer, F Kofler, S Shit, J Paetzold, K Scibilia, ... CoRR, 2022 | | 2022 |
| Fitting Smooth Strips to Rough Surfaces T Amiranashvili | | 2014 |
Bjoern H MenzeUniversität ZürichBestätigte E-Mail-Adresse bei uzh.ch
