Tobias Czempiel

Orcid: 0000-0001-6863-9490

According to our database1, Tobias Czempiel authored at least 31 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2025
Mitigating Biases in Surgical Operating Rooms with Geometry.
CoRR, August, 2025

SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation.
CoRR, August, 2025

SAMSA: Segment Anything Model Enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation.
CoRR, July, 2025

Multimodal imaging platform for enhanced tumor resection in neurosurgery: integrating hyperspectral and pCLE technologies.
Int. J. Comput. Assist. Radiol. Surg., June, 2025

Robotic Arm Platform for Multi-View Image Acquisition and 3D Reconstruction in Minimally Invasive Surgery.
IEEE Robotics Autom. Lett., April, 2025

Beyond role-based surgical domain modeling: Generalizable re-identification in the operating room.
Medical Image Anal., 2025

MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Location-Free Scene Graph Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024
EndoViT: pretraining vision transformers on a large collection of endoscopic images.
Int. J. Comput. Assist. Radiol. Surg., June, 2024

Holistic OR domain modeling: a semantic scene graph approach.
Int. J. Comput. Assist. Radiol. Surg., May, 2024

RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging.
CoRR, 2024

2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection.
Medical Image Anal., October, 2023

Know your sensors - a modality study for surgical action classification.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., July, 2023

DisguisOR: holistic face anonymization for the operating room.
Int. J. Comput. Assist. Radiol. Surg., July, 2023

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition.
Medical Image Anal., May, 2023

Symphony of Time: Temporal Deep Learning for Surgical Activity Recognition (Symphonie der Zeit: Temporale Deep Learning Methoden für die Erkennung chirurgischer Aktivitäten)
PhD thesis, 2023

Whether and When does Endoscopy Domain Pretraining Make Sense?
CoRR, 2023

Location-Free Scene Graph Generation.
CoRR, 2023

FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays.
Proceedings of the Medical Imaging with Deep Learning, 2023

LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Dynamic Scene Graph Representation for Surgical Video.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Few-shot Structured Radiology Report Generation Using Natural Language Prompts.
CoRR, 2022

Longitudinal Self-Supervision for COVID-19 Pathology Quantification.
CoRR, 2022

Surgical Workflow Recognition: from Analysis of Challenges to Architectural Study.
CoRR, 2022

Surgical reporting for laparoscopic cholecystectomy based on phase annotation by a convolutional neural network (CNN) and the phenomenon of phase flickering: a proof of concept.
Int. J. Comput. Assist. Radiol. Surg., 2022

4D-OR: Semantic Scene Graphs for OR Domain Modeling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Surgical Workflow Recognition: From Analysis of Challenges to Architectural Study.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
U-GAT: Multimodal Graph Attention Network for COVID-19 Outcome Prediction.
CoRR, 2021

Longitudinal Quantitative Assessment of COVID-19 Infection Progression from Chest CTs.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

OperA: Attention-Regularized Transformers for Surgical Phase Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020


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