42 citations · 49 across the 9 of their papers we have counts for
10 papers
SurgMotion: A Video-Native Foundation Model for Universal Understanding of Surgical Videos
Jinlin Wu, Felix Holm, Chuxi Chen +18
While foundation models have advanced surgical video analysis, current approaches rely predominantly on pixel-level reconstruction objectives that waste model capacity on low-level…
ProtoFlow: Interpretable and Robust Surgical Workflow Modeling with Learned Dynamic Scene Graph Prototypes
Felix Holm, Ghazal Ghazaei, Nassir Navab
Purpose: Detailed surgical recognition is critical for advancing AI-assisted surgery, yet progress is hampered by high annotation costs, data scarcity, and a lack of interpretable…
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery
Felix Holm, Gözde Ünver, Ghazal Ghazaei +1
Understanding the intricate workflows of cataract surgery requires modeling complex interactions between surgical tools, anatomical structures, and procedural techniques. Existing…
SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction
Çağhan Köksal, Ghazal Ghazaei, Felix Holm +2
Graph-based holistic scene representations facilitate surgical workflow understanding and have recently demonstrated significant success. However, this task is often hindered by th…
Robust Tumor Segmentation with Hyperspectral Imaging and Graph Neural Networks
Mayar Lotfy Mostafa, Anna Alperovich, Tommaso Giannantonio +8
Segmenting the boundary between tumor and healthy tissue during surgical cancer resection poses a significant challenge. In recent years, Hyperspectral Imaging (HSI) combined with…
Dynamic Scene Graph Representation for Surgical Video
Felix Holm, Ghazal Ghazaei, Tobias Czempiel +3
Surgical videos captured from microscopic or endoscopic imaging devices are rich but complex sources of information, depicting different tools and anatomical structures utilized du…
Whether and When does Endoscopy Domain Pretraining Make Sense?
Dominik Batić, Felix Holm, Ege Özsoy +2
Automated endoscopy video analysis is a challenging task in medical computer vision, with the primary objective of assisting surgeons during procedures. The difficulty arises from…
LABRAD-OR: Lightweight Memory Scene Graphs for Accurate Bimodal Reasoning in Dynamic Operating Rooms
Ege Özsoy, Tobias Czempiel, Felix Holm +2
Modern surgeries are performed in complex and dynamic settings, including ever-changing interactions between medical staff, patients, and equipment. The holistic modeling of the op…
Location-Free Scene Graph Generation
Ege Özsoy, Felix Holm, Mahdi Saleh +4
Scene Graph Generation (SGG) is a visual understanding task, aiming to describe a scene as a graph of entities and their relationships with each other. Existing works rely on locat…
CholecTriplet2022: Show me a tool and tell me the triplet -- an endoscopic vision challenge for surgical action triplet detection
Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma +46
Formalizing surgical activities as triplets of the used instruments, actions performed, and target anatomies is becoming a gold standard approach for surgical activity modeling. Th…