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Lukas R. Buschle
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2020 – today
- 2024
- [i2]Marcos Fernández-Rodríguez, Bruno Silva, Sandro F. Queirós, Helena R. Torres, Bruno Oliveira, Pedro Morais
, Lukas R. Buschle, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça:
Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation. CoRR abs/2403.10216 (2024) - 2023
- [c5]Nuno S. Rodrigues
CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms. EMBC 2023: 1-4 - [c4]Simão Valente, Pedro Morais
A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images. EMBC 2023: 1-4 - [i1]João Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. CoRR abs/2302.03022 (2023) - 2022
- [c3]Bruno Silva
Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery. EMBC 2022: 3502-3505 - [c2]Simão Valente, Pedro Morais
A deep learning method for kidney segmentation in 2D ultrasound images. EMBC 2022: 3911-3914 - [c1]Marcos Fernández-Rodríguez, Nuno F. Rodrigues
Feasibility Study on Automatic Surgical Phase Identification based on Speech Recognition for Laparoscopic Prostatectomy. EMBC 2022: 4411-4414
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last updated on 2024-10-07 21:22 CEST by the dblp team
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