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João L. Vilaça
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2020 – today
- 2024
- [j25]Bruno Oliveira, Pedro Morais, Helena R. Torres, Jaime C. Fonseca, João L. Vilaça:
Design optimization of medical robotic systems based on task performance metrics: A feasibility study for robotic guided vascular laser treatments. J. Field Robotics 41(1): 144-161 (2024) - [j24]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, Estevão Lima, João L. Vilaça, Sandro F. Queiros, Stamatia Giannarou:
SurgT challenge: Benchmark of soft-tissue trackers for robotic surgery. Medical Image Anal. 91: 102985 (2024) - [j23]Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Gabriele Hahn, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies. Multim. Syst. 30(2): 71 (2024) - [i5]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
- [j22]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j21]Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal brain tissue annotation and segmentation challenge results. Medical Image Anal. 88: 102833 (2023) - [j20]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detection. Medical Image Anal. 89: 102888 (2023) - [j19]José Nuno Costa, Luís Ferreira, Augusto R. V. F. de Araújo, Bruno Oliveira, Helena R. Torres, Pedro Morais, Victor Alves, João L. Vilaça:
Augmented Reality-Assisted Ultrasound Breast Biopsy. Sensors 23(4): 1838 (2023) - [j18]António Real, Pedro Morais, Bruno Oliveira, Helena R. Torres, João L. Vilaça:
Remote Monitoring System of Dynamic Compression Bracing to Correct Pectus Carinatum. Sensors 23(9): 4427 (2023) - [c74]Andreia Caldas, Simão Valente, Nuno S. Rodrigues, Augusto R. V. F. de Araújo, Rolands Storzs, António Real, Raul R. Ribeiro, Margarida R. Ferreira, Pedro Morais, Demétrio Matos, João L. Vilaça:
Development of a Breast Ultrasound Phantom for Medical Training. CBMS 2023: 398-403 - [c73]Sérgio G. Pereira, Fernando Veloso, Tiago H. Barros, Pedro Lobo, Pedro Morais, João L. Vilaça:
Development of a Thermoplastic Polyurethane gradient deformation monitoring system. CBMS 2023: 782-786 - [c72]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, Sen Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c71]Luís C. N. Barbosa, Diogo Lopes, Inês Escrivães, António H. J. Moreira, Vítor H. Carvalho, João L. Vilaça, Pedro Morais:
Classification of Continuous ECG Segments - Performance Analysis of a Deep Learning Model. EMBC 2023: 1-4 - [c70]Bruno Duarte, Bruno Oliveira, Helena R. Torres, Pedro Morais, Jaime C. Fonseca, João L. Vilaça:
Robust 3D breast reconstruction based on monocular images and artificial intelligence for robotic guided oncological interventions. EMBC 2023: 1-4 - [c69]Rafael Fernandes, Helena R. Torres, Bruno Oliveira, João Azevedo, Karen Fan, Alex P. Lee, João L. Vilaça, Pedro Morais:
Deep learning networks in the segmentation of the left atrial appendage in 2D ultrasound: A comparative analysis. EMBC 2023: 1-4 - [c68]Margarida R. Ferreira, Helena R. Torres, Bruno Oliveira, Augusto R. V. F. de Araújo, Pedro Morais, Paulo Novais, João L. Vilaça:
Deep Learning Networks for Breast Lesion Classification in Ultrasound Images: A Comparative Study. EMBC 2023: 1-4 - [c67]Raul Ferrete Ribeiro, Helena R. Torres, Bruno Oliveira, Pedro Morais, João L. Vilaça:
Comparative analysis of deep learning methods for lesion detection on full screening mammography. EMBC 2023: 1-4 - [c66]Nuno S. Rodrigues, Helena R. Torres, Pedro Morais, L. R. Buschle, S. Haag, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça:
CycleGAN-Based Image to Image Translation for Realistic Surgical Training Phantoms. EMBC 2023: 1-4 - [c65]Helena R. Torres, Bruno Oliveira, Jaime C. Fonseca, Pedro Morais, João L. Vilaça:
Dual consistency loss for contour-aware segmentation in medical images. EMBC 2023: 1-4 - [c64]Simão Valente, Pedro Morais, Helena R. Torres, Bruno Oliveira, L. R. Buschle, Andreas Fritz, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça:
A Comparative Study of Deep Learning Methods for Multi-Class Semantic Segmentation of 2D Kidney Ultrasound Images. EMBC 2023: 1-4 - [c63]Moisés Moreira, Anabela Marques, João L. Vilaça, Vítor H. Carvalho, Duarte Duque:
A Review on Full Immersive Head-Mounted Virtual Reality Assisted Physiotherapy in Upper Limbs Rehabilitation. SeGAH 2023: 1-7 - [i4]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:
SurgT challenge: Benchmark of Soft-Tissue Trackers for Robotic Surgery. CoRR abs/2302.03022 (2023) - [i3]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan, Kun Yuan, Jonas Hajek, Wolfgang Reiter, Amine Yamlahi, Finn-Henri Smidt, Xiaoyang Zou, Guoyan Zheng, Bruno Oliveira, Helena R. Torres, Satoshi Kondo, Satoshi Kasai, Felix Holm, Ege Özsoy, Shuangchun Gui, Han Li, Sista Raviteja, Rachana Sathish, Pranav Poudel, Binod Bhattarai, Ziheng Wang, Guo Rui, Melanie Schellenberg, João L. Vilaça, Tobias Czempiel, Zhenkun Wang, Debdoot Sheet, Shrawan Kumar Thapa, Max Berniker, Patrick Godau, Pedro Morais, Sudarshan Regmi, Thuy Nuong Tran, Jaime C. Fonseca, Jan-Hinrich Nölke, Estevão Lima, Eduard Vazquez, Lena Maier-Hein, Nassir Navab, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Didier Mutter, Nicolas Padoy:
CholecTriplet2022: Show me a tool and tell me the triplet - an endoscopic vision challenge for surgical action triplet detection. CoRR abs/2302.06294 (2023) - 2022
- [j17]Ramtin Gharleghi, Dona Adikari, Katy Ellenberger, Sze-Yuan Ooi, Chris Ellis, Chung-Ming Chen, Ruochen Gao, Yuting He, Raabid Hussain, Chia-Yen Lee, Jun Li, Jun Ma, Ziwei Nie, Bruno Oliveira, Yaolei Qi, Youssef Skandarani, João L. Vilaça, Xiyue Wang, Sen Yang, Arcot Sowmya, Susann Beier:
Automated segmentation of normal and diseased coronary arteries - The ASOCA challenge. Comput. Medical Imaging Graph. 97: 102049 (2022) - [j16]Helena R. Torres, Pedro Morais, Bruno Oliveira, Cahit Birdir, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
A review of image processing methods for fetal head and brain analysis in ultrasound images. Comput. Methods Programs Biomed. 215: 106629 (2022) - [j15]Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. J. Biomed. Informatics 132: 104121 (2022) - [j14]Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru:
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82: 102605 (2022) - [j13]Bruno Oliveira, Pedro Morais, Helena R. Torres, António Baptista, Jaime C. Fonseca, João L. Vilaça:
Characterization of the Workspace and Limits of Operation of Laser Treatments for Vascular Lesions of the Lower Limbs. Sensors 22(19): 7481 (2022) - [c62]Beatriz Pinto, Cláudia Cardoso, João L. Vilaça, Patrícia Gomes:
Care Cycle to Prevent and Treat a Breast Tumour: Where is The Opportunity for Technology to Cut Health Costs? CENTERIS/ProjMAN/HCist 2022: 1396-1403 - [c61]Bruno Oliveira, Helena R. Torres, Pedro Morais, António Baptista, Jaime C. Fonseca, João L. Vilaça:
Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks. EMBC 2022: 516-519 - [c60]António Real, Pedro Morais, Luís C. N. Barbosa, João Gomes Fonseca, Bruno Oliveira, António H. J. Moreira, João L. Vilaça:
A sensorized needle guide for ultrasound assisted breast biopsy. EMBC 2022: 865-868 - [c59]Helena R. Torres, Pedro Morais, Anne Fritze, Bruno Oliveira, Fernando Veloso, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
3D Facial Landmark Localization for cephalometric analysis. EMBC 2022: 1016-1019 - [c58]Bruno Silva, Bruno Oliveira, Pedro Morais, L. R. Buschle, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça:
Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery. EMBC 2022: 3502-3505 - [c57]Raul Ferrete Ribeiro, João Gomes Fonseca, Helena R. Torres, Bruno Oliveira, Estela Vilhena, Pedro Morais, João L. Vilaça:
Deep learning methods for lesion detection on mammography images: a comparative analysis. EMBC 2022: 3526-3529 - [c56]Margarida R. Ferreira, Helena R. Torres, Bruno Oliveira, João Gomes Fonseca, Pedro Morais, Paulo Novais, João L. Vilaça:
Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images. EMBC 2022: 3878-3881 - [c55]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:
A deep learning method for kidney segmentation in 2D ultrasound images. EMBC 2022: 3911-3914 - [c54]Marcos Fernández-Rodríguez, Nuno F. Rodrigues, Pedro Morais, Bruno Oliveira, L. R. Buschle, Jorge Correia-Pinto, Estevão Lima, João L. Vilaça:
Feasibility Study on Automatic Surgical Phase Identification based on Speech Recognition for Laparoscopic Prostatectomy. EMBC 2022: 4411-4414 - [c53]José Nuno Costa, João Gomes Fonseca, Simão Valente, Luís Ferreira, Bruno Oliveira, Helena R. Torres, Pedro Morais, Victor Alves, João L. Vilaça:
Ultrasound training simulator using augmented reality glasses: an accuracy and precision assessment study. EMBC 2022: 4461-4464 - [c52]Luís C. N. Barbosa, António H. J. Moreira, Vítor H. Carvalho, João L. Vilaça, Pedro Morais:
Biosignal Databases for Training of Artificial Intelligent Systems. ICBRA 2022: 74-81 - [c51]Bruno Duarte, Bruno Oliveira, Helena R. Torres, Pedro Morais, Jaime C. Fonseca, João L. Vilaça:
Augmented Synthetic Dataset with Structured Light to Develop Ai-Based Methods for Breast Depth Estimation. ICBRA 2022: 82-88 - [c50]Sérgio G. Pereira, Tiago H. Barros, Demétrio Matos, Miguel Terroso, João Machado, João Martins, Pedro Morais, João L. Vilaça:
RFID reader multidirectional system. IECON 2022: 1-5 - [c49]Sérgio G. Pereira, Pedro Morais, Fernando Veloso, António H. J. Moreira, Daniel Miranda, João Machado, João Martins, João L. Vilaça:
Insertion of RFID tags into plastic parts using ultrasonic welding. IECON 2022: 1-6 - [c48]Pedro Morais, Dominik Nelles, Jan Wilko Schrickel, Georg Nickenig, Jan D'hooge, Alexander Sedaghat, João L. Vilaça:
3D segmentation of the left atrial appendage in computed tomography for planning of transcatheter occlusion. Image-Guided Procedures 2022 - [c47]Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Cahit Birdir, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting. Image Processing 2022 - [c46]Inês Escrivães, Luís C. N. Barbosa, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Pedro Morais:
ECG classification using Artificial Intelligence: Model Optimization and Robustness Assessment. SeGAH 2022: 1-8 - [c45]Vítor M. Oliveira, Diogo Pereira, Bruno Oliveira, Pedro Morais, Duarte Duque, João L. Vilaça, António H. J. Moreira:
A Robotic and Game-Based Framework for Assisted Upper Limb Rehabilitation. SeGAH 2022: 1-7 - [c44]João F. Pinto, João L. Vilaça, Nuno S. Dias:
AI-Based Pill Detection and Deblistering Spot Finder System for Smart Medication Dispenser. SeGAH 2022: 1-5 - [i2]Chinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, Armine Vardazaryan, Fangfang Xia, Zixuan Zhao, Tong Xia, Fucang Jia, Yuxuan Yang, Hao Wang, Derong Yu, Guoyan Zheng, Xiaotian Duan, Neil Getty, Ricardo Sanchez-Matilla, Maria Robu, Li Zhang, Huabin Chen, Jiacheng Wang, Liansheng Wang, Bokai Zhang, Beerend G. A. Gerats, Sista Raviteja, Rachana Sathish, Rong Tao, Satoshi Kondo, Winnie Pang, Hongliang Ren, Julian Ronald Abbing, Mohammad Hasan Sarhan, Sebastian Bodenstedt, Nithya Bhasker, Bruno Oliveira, Helena R. Torres, Li Ling, Finn Gaida, Tobias Czempiel, João L. Vilaça, Pedro Morais, Jaime C. Fonseca, Ruby Mae Egging, Inge Nicole Wijma, Chen Qian, Guibin Bian, Zhen Li, Velmurugan Balasubramanian, Debdoot Sheet, Imanol Luengo, Yuanbo Zhu, Shuai Ding, Jakob-Anton Aschenbrenner, Nicolas Elini van der Kar, Mengya Xu, Mobarakol Islam, Lalithkumar Seenivasan, Alexander Jenke, Danail Stoyanov, Didier Mutter, Pietro Mascagni, Barbara Seeliger, Cristians Gonzalez, Nicolas Padoy:
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - [i1]Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab:
Fetal Brain Tissue Annotation and Segmentation Challenge Results. CoRR abs/2204.09573 (2022) - 2021
- [j12]Helena R. Torres, Pedro Morais, Anne Fritze, Bruno Oliveira, Fernando Veloso, Mario Rüdiger, Jaime C. Fonseca, João L. Vilaça:
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach. IEEE J. Biomed. Health Informatics 25(7): 2643-2654 (2021) - [c43]Pedro M. Martins, João L. Vilaça, Nuno S. Dias:
A study about current digital assistants for healthcare and medical treatment monitoring. SEGAH 2021: 1-7 - [c42]Vítor M. Oliveira, Pedro Morais, Bruno Oliveira, João L. Vilaça, António H. J. Moreira:
Exploring current communication frameworks for medical teleoperation. SEGAH 2021: 1-6 - [c41]João F. Pinto, João L. Vilaça, Nuno S. Dias:
A Review of Current Pill Organizers and Dispensers. SEGAH 2021: 1-8 - [c40]Helena R. Torres, Bruno Oliveira, Pedro Morais, Anne Fritze, Fernando Veloso, Mario Rüdiqer, Jaime C. Fonseca, João L. Vilaça:
Developing a medical training game for visual assessment of head deformities in infants. SEGAH 2021: 1-6 - [c39]Simão Valente, António Real, João Gomes Fonseca, Helena R. Torres, Estevão Lima, Pedro Morais, João L. Vilaça:
A new handheld ultrasound probe simulator for medical training. SEGAH 2021: 1-7 - [c38]Fernando Veloso, Luís C. N. Barbosa, António Real, Helena R. Torres, Bruno Oliveira, António C. M. Pinho, Jorge Correia-Pinto, Pedro Morais, João L. Vilaça:
Development of a sensor device for measurement of forces in cranial remodeling orthoses. SEGAH 2021: 1-5 - 2020
- [j11]Duarte Duque, João L. Vilaça, Marjorie A. Zielke, Nuno Dias, Nuno F. Rodrigues, Ruck Thawonmas:
Guest Editorial: Special Issue on Serious Games for Health. IEEE Trans. Games 12(4): 337-340 (2020)
2010 – 2019
- 2019
- [c37]Carlos Faria, João L. Vilaça, Sérgio Monteiro, Wolfram Erlhagen, Estela Bicho:
Automatic Denavit-Hartenberg Parameter Identification for Serial Manipulators. IECON 2019: 610-617 - [c36]Bruno Oliveira, Helena R. Torres, Fernando Veloso, Estela Vilhena, Nuno F. Rodrigues, Jaime C. Fonseca, Pedro Morais, João L. Vilaça:
Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant's head models. Computer-Aided Diagnosis 2019: 109500A - [c35]Mafalda Couto, João Gomes Fonseca, António H. J. Moreira, Tiago Henriques-Coelho, Jaime C. Fonseca, António C. M. Pinho, Jorge Correia-Pinto, João L. Vilaça:
Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary study. Computer-Aided Diagnosis 2019: 109504I - [c34]Helena R. Torres, Bruno Oliveira, Fernando Veloso, Mario Ruediger, Wolfram Burkhardt, António H. J. Moreira, Nuno Dias, Pedro Morais, Jaime C. Fonseca, João L. Vilaça:
Deep learning-based detection of anthropometric landmarks in 3D infants head models. Computer-Aided Diagnosis 2019: 1095034 - [c33]Pedro Morais, Sandro F. Queiros, Carla Pereira, António H. J. Moreira, Maria J. Baptista, Nuno F. Rodrigues, Jan D'hooge, Daniel Barbosa, João L. Vilaça:
Automatic left ventricular segmentation in 4D interventional ultrasound data using a patient-specific temporal synchronized shape prior. Image Processing 2019: 109491F - [c32]Sandro F. Queiros, Pedro Morais, Jaime C. Fonseca, Jan D'hooge, João L. Vilaça:
Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces. Image Processing 2019: 1094918 - [c31]Fernando Veloso, Helena R. Torres, João Gomes Fonseca, Bruno Oliveira, Mario Ruediger, Gabriele Hahn, António C. M. Pinho, Jorge Correia-Pinto, Pedro Morais, João L. Vilaça:
Synthetic infant head shapes with deformational plagiocephaly: concept and 3D model parameterization. SeGAH 2019: 1-7 - 2018
- [j10]Helena R. Torres, Sandro F. Queiros, Pedro Morais, Bruno Oliveira, Jaime C. Fonseca, João L. Vilaça:
Kidney Segmentation in Ultrasound, Magnetic Resonance and Computed Tomography Images: A Systematic Review. Comput. Methods Programs Biomed. 157 (2018) - [j9]Pedro Morais, João L. Vilaça, Sandro F. Queiros, Alberto Marchi, Felix Bourier, Isabel Deisenhofer, Jan D'hooge, João Manuel R. S. Tavares:
Automated segmentation of the atrial region and fossa ovalis towards computer-aided planning of inter-atrial wall interventions. Comput. Methods Programs Biomed. 161: 73-84 (2018) - [j8]Bruno Oliveira, Sandro F. Queiros, Pedro Morais, Helena R. Torres, João Gomes Fonseca, Jaime C. Fonseca, João L. Vilaça:
A novel multi-atlas strategy with dense deformation field reconstruction for abdominal and thoracic multi-organ segmentation from computed tomography. Medical Image Anal. 45: 108-120 (2018) - [j7]Sandro F. Queiros, Pedro Morais, Daniel Barbosa, Jaime C. Fonseca, João L. Vilaça, Jan D'hooge:
MITT: Medical Image Tracking Toolbox. IEEE Trans. Medical Imaging 37(11): 2547-2557 (2018) - [c30]Pedro Oliveira, Ângelo Pinto, António Vieira de Castro, Fátima Rodrigues, João L. Vilaça, Pedro Morais, Fernando Veloso:
Automatic Clinic Measures and Comparison of Heads Using Point Clouds. HIS 2018: 560-569 - [c29]Pedro Morais, João L. Vilaça, Sandro F. Queiros, Pedro L. Rodrigues, João Manuel R. S. Tavares, Jan D'hooge:
A Novel Interventional Guidance Framework for Transseptal Puncture in Left Atrial Interventions. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 93-101 - [c28]João Gomes Fonseca, Pedro Morais, Sandro F. Queiros, Fernando Veloso, António C. M. Pinho, Jaime C. Fonseca, Jorge Correia-Pinto, João L. Vilaça:
Personalized dynamic phantom of the right and left ventricles based on patient-specific anatomy for echocardiography studies - Preliminary results. SeGAH 2018: 1-7 - [c27]Bruno Oliveira, Helena R. Torres, Sandro F. Queiros, Pedro Morais, Jaime C. Fonseca, Jan D'hooge, Nuno F. Rodrigues, João L. Vilaça:
Segmentation of kidney and renal collecting system on 3D computed tomography images. SeGAH 2018: 1-8 - [e2]João L. Vilaça, Thomas Grechenig, Duarte Duque, Nuno F. Rodrigues, Nuno Dias:
6th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2018, Vienna, Austria, May 16-18, 2018. IEEE 2018, ISBN 978-1-5386-6298-4 [contents] - 2017
- [j6]Pedro Morais, João L. Vilaça, Sandro F. Queiros, Felix Bourier, Isabel Deisenhofer, João Manuel R. S. Tavares, Jan D'hooge:
A competitive strategy for atrial and aortic tract segmentation based on deformable models. Medical Image Anal. 42: 102-116 (2017) - [j5]Sandro F. Queiros, Alex Papachristidis, Pedro Morais, Konstantinos C. Theodoropoulos, Jaime C. Fonseca, Mark Monaghan, João L. Vilaça, Jan D'hooge:
Fully Automatic 3-D-TEE Segmentation for the Planning of Transcatheter Aortic Valve Implantation. IEEE Trans. Biomed. Eng. 64(8): 1711-1720 (2017) - [c26]Pedro Carvalho, Sandro F. Queiros, António H. J. Moreira, José Henrique Brito, Fernando Veloso, Miguel Terroso, Nuno F. Rodrigues, João L. Vilaça:
Instrumented vest for postural reeducation. SeGAH 2017: 1-8 - [c25]Silvia Silva, Sandro F. Queiros, António H. J. Moreira, Eva Oliveira, Nuno F. Rodrigues, João L. Vilaça:
Classification algorithms for body posture. SeGAH 2017: 1-6 - [e1]Nuno Dias, Sara de Freitas, Duarte Duque, Nuno F. Rodrigues, Kevin Wong, João L. Vilaça:
5th IEEE International Conference on Serious Games and Applications for Health, SeGAH 2017, Perth, Australia, April 2-4, 2017. IEEE Computer Society 2017, ISBN 978-1-5090-5482-4 [contents] - 2016
- [j4]Sandro F. Queiros, Alex Papachristidis, Daniel Barbosa, Konstantinos C. Theodoropoulos, Jaime C. Fonseca, Mark Monaghan, João L. Vilaça, Jan D'hooge:
Aortic Valve Tract Segmentation From 3D-TEE Using Shape-Based B-Spline Explicit Active Surfaces. IEEE Trans. Medical Imaging 35(9): 2015-2025 (2016) - [c24]Helena R. Torres, Bruno Oliveira, Sandro F. Queiros, Pedro Morais, Jaime C. Fonseca, Jan D'hooge, Nuno F. Rodrigues, João L. Vilaça:
Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces. SeGAH 2016: 1-7 - 2015
- [c23]Pedro Morais, Sandro F. Queiros, António H. J. Moreira, Adriano Ferreira, Ernesto Ferreira, Duarte Duque, Nuno F. Rodrigues, João L. Vilaça:
Computer-aided recognition of dental implants in X-ray images. Computer-Aided Diagnosis 2015: 94142E - [c22]António H. J. Moreira, Sandro F. Queiros, Pedro Morais, Nuno F. Rodrigues, André Ricardo Correia, Valter Fernandes, António C. M. Pinho, Jaime C. Fonseca, João L. Vilaça:
Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation. Computer-Aided Diagnosis 2015: 94143H - [c21]Pedro L. Rodrigues, Nuno F. Rodrigues, Jaime C. Fonseca, João L. Vilaça:
Validation of percutaneous puncture trajectory during renal access using 4D ultrasound reconstruction. Image-Guided Procedures 2015: 94152D - [c20]Andrea Perissinotto, Sandro F. Queiros, Pedro Morais, Maria J. Baptista, Mark Monaghan, Nuno F. Rodrigues, Jan D'hooge, João L. Vilaça, Daniel Barbosa:
Robust temporal alignment of multimodal cardiac sequences. Image Processing 2015: 94131K - [c19]Daniel Barbosa, Sandro F. Queiros, Pedro Morais, Maria J. Baptista, Mark Monaghan, Nuno F. Rodrigues, Jan D'hooge, João L. Vilaça:
Improving the robustness of interventional 4D ultrasound segmentation through the use of personalized prior shape models. Image Processing 2015: 94133H - [c18]Daniel Barbosa, Sandro F. Queiros, Nuno F. Rodrigues, Jorge Correia-Pinto, João L. Vilaça:
Semi-automatic 3D segmentation of costal cartilage in CT data from Pectus Excavatum patients. Image Processing 2015: 94133M - [c17]Sandro F. Queiros,