Ender Konukoglu
Associate Professor
Develops machine learning methods for medical image computing, including segmentation, domain adaptation and uncertainty estimation for MRI analysis.
Ender Konukoglu's lab at ETH Zurich works on recognition, detection & segmentation, medical image analysis and probabilistic & causal inference. 53 papers since 2023, 24 at top venues, mostly NeurIPS and ICLR. 12 PhD students.
At a glance
- papers, 2023–2026
- 14/ year
- at T1 venues
- 45%
- PhD students
- 12
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 7 papers2026 · T1 1 · collecting
- 18 papers2025 · T1 12
- 14 papers2024 · T1 4
- 14 papers2023 · T1 7
T1 venuesOtherVenues: NeurIPS, ICLR, MICCAI, Medical Image Analysis, CVPR
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation17 papers
- Medical image analysis11 papers
- Probabilistic & causal inference3 papers
- uncertainty estimation0 papers
- image computing0 papers
Paper list
From the lab homepage and DBLP.
20267 papers
- Operative NeurosurgeryAENEAS Project: Live Image-Based Navigation and Roadmap Generation in Endoscopic Neurosurgery Using Machine Vision (opens in a new tab)
- Mach. Intell. Res.Editorial for Special Issue on Multimodal Learning, Temporal Modeling, and Foundation Models for Video Understanding (opens in a new tab)
- Trans. Mach. Learn. Res.Mixtures of Locally Bounded Langevin dynamics for Bayesian Model Averaging (opens in a new tab)
- Medical Image Anal.Multi-structure segmentation in CBCT volumes: The ToothFairy2 challenge (opens in a new tab)
- Journal of Neurology, Neurosurgery & PsychiatryRecovery of daily life upper limb use during stroke rehabilitation: neuroanatomical correlates and associated variables (opens in a new tab)
- Mayo Clinic Proceedings: Digital HealthThe AENEAS Project: Intraoperative Anatomical Guidance Through Real-Time Landmark Detection Using Machine Vision (opens in a new tab)
- MICCAI (T1)Trustworthy Endoscopic Super-Resolution (opens in a new tab)
202518 papers
- 3DVA Large-scale Dataset of Gaussian Splats and Their Self-Supervised Pretraining (opens in a new tab)
- MICCAI (T1)Anomaly Detection by Clustering DINO Embeddings Using a Dirichlet Process Mixture (opens in a new tab)
- NeurIPS (T1)CamSAM2: Segment Anything Accurately in Camouflaged Videos (opens in a new tab)
- MICCAI (T1)Conformal Forecasting for Surgical Instrument Trajectory (opens in a new tab)
- —Enhancing Low Back Pain Assessment with Diffusion Models for Lumbar Spine MRI Segmentation (opens in a new tab)
- CVPR (T1)Exploiting Temporal State Space Sharing for Video Semantic Segmentation (opens in a new tab)
- WACVGeneralizable Single-Source Cross-modality Medical Image Segmentation via Invariant Causal Mechanisms (opens in a new tab)
- CVPR (T1)Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model (opens in a new tab)
- Medical Image Analysis (T1)Learning to segment anatomy and lesions from disparately labeled sources in brain MRI (opens in a new tab)
- MLMI@MICCAILeveraging Self-supervised Pretraining Using Transformers for Enhanced Lung Nodule Detection in CT Scans (opens in a new tab)
- GRAIL/RIME@MICCAILocalized FNO for Spatiotemporal Hemodynamic Upsampling in Aneurysm MRI (opens in a new tab)
- ICCV (T1)MedVSR: Medical Video Super-Resolution with Cross State-Space Propagation (opens in a new tab)
202414 papers
- European Journal of RadiologyAI-based automated evaluation of image quality and protocol tailoring in patients undergoing MRI for suspected prostate cancer (opens in a new tab)
- EUVIPComparing Stability and Discriminatory Power of Hand-Crafted Versus Deep Radiomics: A 3D-Printed Anthropomorphic Phantom Study (opens in a new tab)
- Radiology: Artificial IntelligenceDeep Learning Prostate MRI Segmentation Accuracy and Robustness: A Systematic Review (opens in a new tab)
- ECCV WorkshopDo Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation? (opens in a new tab)
- Medical Image Anal.Editorial for the Special Issue on the 2022 Medical Imaging with Deep Learning Conference (opens in a new tab)
- DGM4MICCAI@MICCAIEnergy-Based Prior Latent Space Diffusion Model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI (opens in a new tab)
- TPAMI (T1)Federated Feature Augmentation and Alignment (opens in a new tab)
- NeurIPS (T1)Implicit-Zoo: A Large-Scale Dataset of Neural Implicit Functions for 2D Images and 3D Scenes (opens in a new tab)
- Scientific ReportsPredicting mortality after transcatheter aortic valve replacement using preprocedural CT (opens in a new tab)
- Nature Communications (T1)Predicting standardized uptake value of brown adipose tissue from CT scans using convolutional neural networks (opens in a new tab)
- La radiologia medicaPSMA-positive prostatic volume prediction with deep learning based on T2-weighted MRI (opens in a new tab)
- ToothFairy/3DTeethLand/STS@MICCAIVideo Foundation Model for Medical 3D Segmentation (opens in a new tab)
202314 papers
- Medical Physics3D-printed iodine-ink CT phantom for radiomics feature extraction - advantages and challenges (opens in a new tab)
- NeurIPS (T1)Canonical normalizing flows for manifold learning (opens in a new tab)
- NeurIPS (T1)Expert load matters: operating networks at high accuracy and low manual effort (opens in a new tab)
- ICLR (T1)Explicitly Minimizing the Blur Error of Variational Autoencoders (opens in a new tab)
- ICLR (T1)FedFA: Federated Feature Augmentation (opens in a new tab)
- TNNLS (T1)InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation (opens in a new tab)
- IPMILive Image-Based Neurosurgical Guidance and Roadmap Generation Using Unsupervised Embedding (opens in a new tab)
- Medical Image Analysis (T1)Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation (opens in a new tab)
- DART@MICCAIMultiVT: Multiple-Task Framework for Dentistry (opens in a new tab)
- CinCOutlier Detection in ECG (opens in a new tab)
- Physics and Imaging in Radiation OncologyPatient-specific quality assurance strategies for synthetic computed tomography in magnetic resonance-only radiotherapy of the abdomen (opens in a new tab)
- Physics and Imaging in Radiation OncologySynthetic computed tomography for low-field magnetic resonance-only radiotherapy in head-and-neck cancer using residual vision transformers (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
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