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International Journal of Computer Assisted Radiology and Surgery|September 11, 2025
Ultrasam: a foundation model for ultrasound using large open-access segmentation datasetsAdrien Meyer, Aditya Murali, Farahdiba Zarin, et al.
International Journal of Computer Assisted Radiology and Surgery|May 17, 2026
S4M: 4-points to segment anythingAdrien Meyer, Lorenzo Arboit, Giuseppe Massimiani, et al.
IEEE Transactions on Medical Imaging|November 16, 2023
Latent Graph Representations for Critical View of Safety AssessmentAditya Murali, Deepak Alapatt, Pietro Mascagni, et al.
International Journal of Computer Assisted Radiology and Surgery|April 25, 2023
Rendezvous in time: an attention-based temporal fusion approach for surgical triplet recognitionSaurav Sharma, Chinedu Innocent Nwoye, Didier Mutter, et al.
International Journal of Computer Assisted Radiology and Surgery|April 11, 2019
Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videosChinedu Innocent Nwoye, Didier Mutter, Jacques Marescaux, et al.
Updates in Surgery|October 9, 2025
Three-dimensional image guidance for diagnosis and treatment of adrenal disease: a systematic reviewSofia Di Lorenzo, Farahdiba Zarin, Matteo Pavone, et al.
Scientific Data|February 25, 2025
Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomyPietro Mascagni, Deepak Alapatt, Aditya Murali, et al.
IEEE Transactions on Medical Imaging|July 29, 2019
Future-State Predicting LSTM for Early Surgery Type RecognitionSiddharth Kannan, Gaurav Yengera, Didier Mutter, et al.
IEEE Transactions on Medical Imaging|October 30, 2018
RSDNet: Learning to Predict Remaining Surgery Duration from Laparoscopic Videos Without Manual AnnotationsAndru Putra Twinanda, Gaurav Yengera, Didier Mutter, et al.
International Journal of Computer Assisted Radiology and Surgery|April 4, 2024
On-the-fly point annotation for fast medical video labelingAdrien Meyer, Jean-Paul Mazellier, Jérémy Dana, et al.
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