Deepak Alapatt | DeepAI

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∙ 02/13/2023

CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection

Formalizing surgical activities as triplets of the used instruments, act...

1 Chinedu Innocent Nwoye, et al. ∙

∙ 12/13/2022

Real-Time Artificial Intelligence Assistance for Safe Laparoscopic Cholecystectomy: Early-Stage Clinical Evaluation

Artificial intelligence is set to be deployed in operating rooms to impr...

0 Pietro Mascagni, et al. ∙

∙ 12/08/2022

Latent Graph Representations for Critical View of Safety Assessment

Assessing the critical view of safety in laparoscopic cholecystectomy re...

0 Aditya Murali, et al. ∙

∙ 04/10/2022

CholecTriplet2021: A benchmark challenge for surgical action triplet recognition

Context-aware decision support in the operating room can foster surgical...

32 Chinedu Innocent Nwoye, et al. ∙

∙ 12/27/2021

Temporally Constrained Neural Networks (TCNN): A framework for semi-supervised video semantic segmentation

A major obstacle to building models for effective semantic segmentation,...

39 Deepak Alapatt, et al. ∙

∙ 06/21/2021

Surgical data science for safe cholecystectomy: a protocol for segmentation of hepatocystic anatomy and assessment of the critical view of safety

Minimally invasive image-guided surgery heavily relies on vision. Deep l...

0 Pietro Mascagni, et al. ∙

∙ 09/28/2020

Artificial Intelligence in Surgery: Neural Networks and Deep Learning

Deep neural networks power most recent successes of artificial intellige...

0 Deepak Alapatt, et al. ∙

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