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Jaime C. Fonseca 0001
Jaime Francisco Cruz Fonseca
Person information
- affiliation: University of Minho, Algoritmi Center, Guimarães, Portugal
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2020 – today
- 2024
- [j22]Bruno Oliveira
, Pedro Morais
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) - [j21]João Freitas
Automatic multi-view pose estimation in focused cardiac ultrasound. Medical Image Anal. 94: 103146 (2024) - [j20]Helena R. Torres, Bruno Oliveira, Pedro Morais
Infant head and brain segmentation from magnetic resonance images using fusion-based deep learning strategies. Multim. Syst. 30(2): 71 (2024) - 2023
- [j19]Chinedu Innocent Nwoye
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. Medical Image Anal. 86: 102803 (2023) - [j18]Chinedu Innocent Nwoye
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) - [j17]Ali Abbasi
Sensor Fusion Approach for Multiple Human Motion Detection for Indoor Surveillance Use-Case. Sensors 23(8): 3993 (2023) - [j16]Nelson Ricardo Pereira Rodrigues
Fusion Object Detection and Action Recognition to Predict Violent Action. Sensors 23(12): 5610 (2023) - [c35]Bruno Duarte, Bruno Oliveira, Helena R. Torres, Pedro Morais
Robust 3D breast reconstruction based on monocular images and artificial intelligence for robotic guided oncological interventions. EMBC 2023: 1-4 - [c34]Helena R. Torres, Bruno Oliveira, Jaime C. Fonseca
Dual consistency loss for contour-aware segmentation in medical images. EMBC 2023: 1-4 - [i2]Chinedu Innocent Nwoye, Tong Yu, Saurav Sharma, Aditya Murali, Deepak Alapatt, Armine Vardazaryan
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
- [j15]Helena R. Torres, Pedro Morais
A review of image processing methods for fetal head and brain analysis in ultrasound images. Comput. Methods Programs Biomed. 215: 106629 (2022) - [j14]Helena R. Torres
Realistic 3D infant head surfaces augmentation to improve AI-based diagnosis of cranial deformities. J. Biomed. Informatics 132: 104121 (2022) - [j13]César Melo
AI Based Monitoring of Different Risk Levels in COVID-19 Context. Sensors 22(1): 298 (2022) - [j12]Bruno Oliveira
Characterization of the Workspace and Limits of Operation of Laser Treatments for Vascular Lesions of the Lower Limbs. Sensors 22(19): 7481 (2022) - [j11]Bruno Silva
Automatic Assessment of Pectus Excavatum Severity From CT Images Using Deep Learning. IEEE J. Biomed. Health Informatics 26(1): 324-333 (2022) - [c33]Bruno Oliveira
Classification of Chronic Venous Disorders using an Ensemble Optimization of Convolutional Neural Networks. EMBC 2022: 516-519 - [c32]Helena R. Torres, Pedro Morais
3D Facial Landmark Localization for cephalometric analysis. EMBC 2022: 1016-1019 - [c31]Valdemar Leiras
ISO23247 Digital Twin Approach for Industrial Grade Radio Frequency Testing Station. ETFA 2022: 1-8 - [c30]Mauro Queirós, João Lobato Pereira, Valdemar Leiras
Work cell for assembling small components in PCB. ETFA 2022: 1-4 - [c29]Bruno Duarte
Augmented Synthetic Dataset with Structured Light to Develop Ai-Based Methods for Breast Depth Estimation. ICBRA 2022: 82-88 - [c28]João Lobato Pereira, Mauro Queirós, Nuno M. C. da Costa
TMRobot Series Toolbox: Interfacing Collaborative Robots with MATLAB. IN4PL 2022: 46-55 - [c27]Mauro Queirós, João Lobato Pereira, Nuno M. C. da Costa
Human-Robot Collaboration (HRC) with Vision Inspection for PCB Assembly. IN4PL 2022: 56-65 - [c26]Helena R. Torres, Bruno Oliveira
Fetal head circumference delineation using convolutional neural networks with registration-based ellipse fitting. Medical Imaging: Image Processing 2022 - [i1]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
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition. CoRR abs/2204.04746 (2022) - 2021
- [j10]João Borges
A system for the generation of in-car human body pose datasets. Mach. Vis. Appl. 32(1): 4 (2021) - [j9]Helena R. Torres
Anthropometric Landmark Detection in 3D Head Surfaces Using a Deep Learning Approach. IEEE J. Biomed. Health Informatics 25(7): 2643-2654 (2021) - [c25]Sandra Dixe
In-car Damage Dirt and Stain Estimation with RGB Images. ICAART (2) 2021: 672-679 - [c24]Helena R. Torres, Bruno Oliveira
Developing a medical training game for visual assessment of head deformities in infants. SEGAH 2021: 1-6 - 2020
- [c23]Pedro Faria
In-Car State Classification with RGB Images. ISDA 2020: 435-445 - [c22]João Borges
Automated Generation of Synthetic in-Car Dataset for Human Body Pose Detection. VISIGRAPP (5: VISAPP) 2020: 550-557
2010 – 2019
- 2019
- [c21]Helena R. Torres, Bruno Oliveira
Real-Time Human Body Pose Estimation for In-Car Depth Images. DoCEIS 2019: 169-182 - [c20]Bruno Oliveira
Automatic strategy for extraction of anthropometric measurements for the diagnostic and evaluation of deformational plagiocephaly from infant's head models. Medical Imaging: Computer-Aided Diagnosis 2019: 109500A - [c19]Mafalda Couto
Patient-specific outcome simulation after surgical correction of Pectus Excavatum: a preliminary study. Medical Imaging: Computer-Aided Diagnosis 2019: 109504I - [c18]Helena R. Torres, Bruno Oliveira
Deep learning-based detection of anthropometric landmarks in 3D infants head models. Medical Imaging: Computer-Aided Diagnosis 2019: 1095034 - [c17]Sandro F. Queiros
Semi-automatic aortic valve tract segmentation in 3D cardiac magnetic resonance images using shape-based B-spline explicit active surfaces. Medical Imaging: Image Processing 2019: 1094918 - [c16]Nelson Rodrigues
Top-Down Human Pose Estimation with Depth Images and Domain Adaptation. VISIGRAPP (5: VISAPP) 2019: 281-288 - 2018
- [j8]Helena R. Torres, Sandro F. Queiros
Kidney Segmentation in Ultrasound, Magnetic Resonance and Computed Tomography Images: A Systematic Review. Comput. Methods Programs Biomed. 157 (2018) - [j7]Bruno Oliveira
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) - [j6]Sandro F. Queiros
MITT: Medical Image Tracking Toolbox. IEEE Trans. Medical Imaging 37(11): 2547-2557 (2018) - [c15]João Gomes Fonseca
Personalized dynamic phantom of the right and left ventricles based on patient-specific anatomy for echocardiography studies - Preliminary results. SeGAH 2018: 1-7 - [c14]Bruno Oliveira
Segmentation of kidney and renal collecting system on 3D computed tomography images. SeGAH 2018: 1-8 - 2017
- [j5]Sandro F. Queiros
Fully Automatic 3-D-TEE Segmentation for the Planning of Transcatheter Aortic Valve Implantation. IEEE Trans. Biomed. Eng. 64(8): 1711-1720 (2017) - 2016
- [j4]Sandro F. Queiros
Aortic Valve Tract Segmentation From 3D-TEE Using Shape-Based B-Spline Explicit Active Surfaces. IEEE Trans. Medical Imaging 35(9): 2015-2025 (2016) - [c13]Helena R. Torres, Bruno Oliveira
Kidney segmentation in 3D CT images using B-Spline Explicit Active Surfaces. SeGAH 2016: 1-7 - 2015
- [c12]António H. J. Moreira
Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation. Medical Imaging: Computer-Aided Diagnosis 2015: 94143H - [c11]Pedro L. Rodrigues, Nuno F. Rodrigues
Validation of percutaneous puncture trajectory during renal access using 4D ultrasound reconstruction. Medical Imaging: Image-Guided Procedures 2015: 94152D - [c10]Sandro F. Queiros
Fast left ventricle tracking in CMR images using localized anatomical affine optical flow. Medical Imaging: Image Processing 2015: 941306 - 2014
- [c9]António H. J. Moreira
Electromagnetic tracker feasibility in the design of a dental superstructure for edentulous patients. MeMeA 2014: 141-146 - [c8]Pedro L. Rodrigues, António H. J. Moreira
Artificial neural networks for automatic modelling of the pectus excavatum corrective prosthesis. Medical Imaging: Computer-Aided Diagnosis 2014: 90350L - [c7]Pedro L. Rodrigues, António H. J. Moreira, Nuno F. Rodrigues
Preliminary clinical trial in percutaneous nephrolithotomy using a real-time navigation system for percutaneous kidney access. Medical Imaging: Image-Guided Procedures 2014: 903606 - 2013
- [c6]João L. Vilaça, Pedro Miguel Rodrigues, António H. J. Moreira, João Gomes Fonseca, António C. M. Pinho, Jaime C. Fonseca, Nuno F. Rodrigues:
Automatic Modeling of an Orthotic Bracing for Nonoperative Correction of Pectus Carinatum. VISAPP (2) 2013: 71-74 - [c5]António H. J. Moreira, João Gomes Fonseca, Pedro L. Rodrigues, Jaime C. Fonseca, António C. M. Pinho, Jorge Correia-Pinto, Nuno F. Rodrigues, João L. Vilaça:
Assessment of 3D Scanners for Modeling Pectus Carinatum Corrective Bar. VISAPP (2) 2013: 122-125 - 2012
- [c4]António H. J. Moreira, Pedro L. Rodrigues, Jaime C. Fonseca
Pectus excavatum postsurgical outcome based on preoperative soft body dynamics simulation. Medical Imaging: Image-Guided Procedures 2012: 83160K - 2011
- [c3]João L. Vilaça
Virtual simulation of the postsurgical cosmetic outcome in patients with Pectus Excavatum. Medical Imaging: Image-Guided Procedures 2011: 79642L - 2010
- [j3]João L. Vilaça
Non-contact 3D acquisition system based on stereo vision and laser triangulation. Mach. Vis. Appl. 21(3): 341-350 (2010)
2000 – 2009
- 2005
- [c2]Vitor Santos Bottazzi, Jaime Francisco Cruz Fonseca
Off-Line Robot Programming Framework. ICAS/ICNS 2005: 71 - [c1]Gustavo V. Arnold, Pedro Rangel Henriques, Jaime C. Fonseca:
A graphical interface based on grafcet for programming industrial robots off-line. ICINCO 2005: 113-118
1990 – 1999
- 1999
- [j2]Jaime C. Fonseca
Fuzzy logic speed control of an induction motor. Microprocess. Microsystems 22(9): 523-534 (1999) - [j1]Jaime C. Fonseca, João Luiz Afonso
Erratum to "Fuzzy logic speed control of an induction motor": [J. Microprocessors Microsyst. 22 (1999) 523-534]. Microprocess. Microsystems 23(8-9): 553 (1999)
Coauthor Index
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last updated on 2024-11-18 20:46 CET by the dblp team
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