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Aditya Murali

Showing results (1-10 of 8) with videos related to

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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|April 28, 2024
Optimizing latent graph representations of surgical scenes for unseen domain generalizationSiddhant Satyanaik, Aditya Murali, Deepak Alapatt, 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.
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.
Scientific Reports|October 8, 2021
Digital signatures for early traumatic brain injury outcome prediction in the intensive care unitAnil K Palepu, Aditya Murali, Jenna L Ballard, et al.
Medical Image Analysis|June 4, 2023
Dissecting self-supervised learning methods for surgical computer visionSanat Ramesh, Vinkle Srivastav, Deepak Alapatt, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|April 19, 2025
Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study)Matteo Pavone, Britty Baby, Emma Carles, et al.
Medical Image Analysis|July 14, 2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detectionChinedu Innocent Nwoye, Tong Yu, Saurav Sharma, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
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|April 28, 2024
Optimizing latent graph representations of surgical scenes for unseen domain generalizationSiddhant Satyanaik, Aditya Murali, Deepak Alapatt, 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.
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.
Scientific Reports|October 8, 2021
Digital signatures for early traumatic brain injury outcome prediction in the intensive care unitAnil K Palepu, Aditya Murali, Jenna L Ballard, et al.
Medical Image Analysis|June 4, 2023
Dissecting self-supervised learning methods for surgical computer visionSanat Ramesh, Vinkle Srivastav, Deepak Alapatt, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|April 19, 2025
Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study)Matteo Pavone, Britty Baby, Emma Carles, et al.
Medical Image Analysis|July 14, 2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detectionChinedu Innocent Nwoye, Tong Yu, Saurav Sharma, et al.
Pageof 1