Lukas R. Buschle

According to our database, Lukas R. Buschle authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Exploring Optical Flow Inclusion into nnU-Net Framework for Surgical Instrument Segmentation.

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

CoRR, 2024

2023

SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery.

João Cartucho, Alistair Weld, Samyakh Tukra, Haozheng Xu, Hiroki Matsuzaki, Taiyo Ishikawa, Minjun Kwon, Yongeun Jang, Kwang-Ju Kim, Gwang Lee, Bizhe Bai, Lueder A. Kahrs, Lars Boecking, Simeon Allmendinger, Leopold Müller, Yitong Zhang, Yueming Jin, Sophia Bano, Francisco Vasconcelos, Wolfgang Reiter, Jonas Hajek, Bruno Silva, Lukas R. Buschle, Estevão Lima, João L. Vilaça, Sandro F. Queiros, Stamatia Giannarou

CoRR, 2023

A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images.

Simão Valente, Pedro Morais, Helena R. Torres, Bruno Oliveira, L. R. Buschle, Andreas Fritz, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms.

Nuno S. Rodrigues, Helena R. Torres, Pedro Morais, L. R. Buschle, S. Haag, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

A deep learning method for kidney segmentation in 2D ultrasound images.

Simão Valente, Pedro Morais, Helena R. Torres, Bruno Oliveira, João Gomes Fonseca, L. R. Buschle, Andreas Fritz, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery.

Bruno Silva, Bruno Oliveira, Pedro Morais, L. R. Buschle, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Feasibility Study on Automatic Surgical Phase Identification based on Speech Recognition for Laparoscopic Prostatectomy.

Marcos Fernández-Rodríguez, Nuno F. Rodrigues, Pedro Morais, Bruno Oliveira, L. R. Buschle, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022