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Hassan Rivaz
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2020 – today
- 2024
- [j35]Mumu Aktar, Yiming Xiao, Ali Kafaei Zad Tehrani, Donatella Tampieri, Hassan Rivaz, Marta Kersten-Oertel:
SCANED: Siamese collateral assessment network for evaluation of collaterals from ischemic damage. Comput. Medical Imaging Graph. 113: 102346 (2024) - [j34]Nicolaos Karatzas, Patrik Abdelnour, Jason Philip Aaron Hiro Corban, Kevin Y. Zhao, Louis-Nicolas Veilleux, Stephane G. Bergeron, Thomas Fevens, Hassan Rivaz, Athanasios Babouras, Paul A. Martineau:
Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening. Sensors 24(6): 1970 (2024) - [j33]Marcelo Lerendegui, Kai Riemer, Georgios Papageorgiou, Bingxue Wang, Lachlan Arthur, Arthur Chavignon, Tao Zhang, Olivier Couture, Pingtong Huang, Md Ashikuzzaman, Stefanie Dencks, Christopher Dunsby, Brandon Helfield, Jørgen Arendt Jensen, Thomas Lisson, Matthew R. Lowerison, Hassan Rivaz, Anthony E. Samir, Georg Schmitz, Scott J. Schoen, Ruud van Sloun, Pengfei Song, Tristan S. W. Stevens, Jipeng Yan, Vassilis Sboros, Meng-Xing Tang:
ULTRA-SR Challenge: Assessment of Ultrasound Localization and TRacking Algorithms for Super-Resolution Imaging. IEEE Trans. Medical Imaging 43(8): 2970-2987 (2024) - [c70]Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini:
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images. CVPR Workshops 2024: 6894-6903 - [c69]Ali Kafaei Zad Tehrani, E. G. Sunethra Dayavansha, Yuyang Gu, Ion Candel, Michael Wang, Rimon Tadross, Yiming Xiao, Hassan Rivaz, Kai Thomenius, Anthony E. Samir:
Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography. ASMUS@MICCAI 2024: 3-13 - [c68]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation. MICCAI (12) 2024: 643-653 - [i36]Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Joint chest X-ray diagnosis and clinical visual attention prediction with multi-stage cooperative learning: enhancing interpretability. CoRR abs/2403.16970 (2024) - [i35]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation. CoRR abs/2403.20253 (2024) - [i34]Ali Nasiri-Sarvi, Vincent Quoc-Huy Trinh, Hassan Rivaz, Mahdi S. Hosseini:
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images. CoRR abs/2404.13222 (2024) - [i33]Ali Nasiri-Sarvi, Mahdi S. Hosseini, Hassan Rivaz:
Vision Mamba for Classification of Breast Ultrasound Images. CoRR abs/2407.03552 (2024) - [i32]Hojat Asgariandehkordi, Sobhan Goudarzi, Mostafa Sharifzadeh, Adrian Basarab, Hassan Rivaz:
Denoising Plane Wave Ultrasound Images Using Diffusion Probabilistic Models. CoRR abs/2408.10987 (2024) - [i31]Dorsa Ameri, Ali K. Z. Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Uncertainty Decomposition and Error Margin Detection of Homodyned-K Distribution in Quantitative Ultrasound. CoRR abs/2409.11583 (2024) - [i30]Taha Koleilat, Hojat Asgariandehkordi, Hassan Rivaz, Yiming Xiao:
MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation. CoRR abs/2409.19483 (2024) - 2023
- [j32]Nima Masoumi, Hassan Rivaz, M. Omair Ahmad, Yiming Xiao:
DiffeoRaptor: diffeomorphic inter-modal image registration using RaPTOR. Int. J. Comput. Assist. Radiol. Surg. 18(2): 367-377 (2023) - [j31]Amir Pirhadi, Soorena Salari, M. Omair Ahmad, Hassan Rivaz, Yiming Xiao:
Robust landmark-based brain shift correction with a Siamese neural network in ultrasound-guided brain tumor resection. Int. J. Comput. Assist. Radiol. Surg. 18(3): 501-508 (2023) - [j30]Mumu Aktar, Jonatan Reyes, Donatella Tampieri, Hassan Rivaz, Yiming Xiao, Marta Kersten-Oertel:
Deep learning for collateral evaluation in ischemic stroke with imbalanced data. Int. J. Comput. Assist. Radiol. Surg. 18(4): 733-740 (2023) - [j29]Sobhan Goudarzi, Jesse Whyte, Mathieu Boily, Anna Towers, Robert D. Kilgour, Hassan Rivaz:
Segmentation of Arm Ultrasound Images in Breast Cancer-Related Lymphedema: A Database and Deep Learning Algorithm. IEEE Trans. Biomed. Eng. 70(9): 2552-2563 (2023) - [j28]Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz:
A Unifying Approach to Inverse Problems of Ultrasound Beamforming and Deconvolution. IEEE Trans. Computational Imaging 9: 197-209 (2023) - [j27]Ali Kafaei Zad Tehrani, Md Ashikuzzaman, Hassan Rivaz:
Lateral Strain Imaging Using Self-Supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography. IEEE Trans. Medical Imaging 42(5): 1462-1471 (2023) - [j26]Md Ashikuzzaman, Ali Kafaei Zad Tehrani, Hassan Rivaz:
Exploiting Mechanics-Based Priors for Lateral Displacement Estimation in Ultrasound Elastography. IEEE Trans. Medical Imaging 42(11): 3307-3322 (2023) - [c67]Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Homodyned K-Distribution: Parameter Estimation and Uncertainty Quantification Using Bayesian Neural Networks. ISBI 2023: 1-4 - [c66]Mumu Aktar, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
VesselShot: Few-shot Learning for Cerebral Blood Vessel Segmentation. MLCN@MICCAI 2023: 46-55 - [c65]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
How Inter-rater Variability Relates to Aleatoric and Epistemic Uncertainty: A Case Study with Deep Learning-Based Paraspinal Muscle Segmentation. UNSURE@MICCAI 2023: 74-83 - [c64]Ali Kafaei Zad Tehrani, Hassan Rivaz:
Infusing Physically Inspired Known Operators in Deep Models of Ultrasound Elastography. MICCAI (1) 2023: 467-476 - [c63]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Towards Multi-modal Anatomical Landmark Detection for Ultrasound-Guided Brain Tumor Resection with Contrastive Learning. MICCAI (9) 2023: 668-678 - [c62]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
FocalErrorNet: Uncertainty-Aware Focal Modulation Network for Inter-modal Registration Error Estimation in Ultrasound-Guided Neurosurgery. MICCAI (9) 2023: 689-698 - [c61]Soorena Salari, Amirhossein Rasoulian, Michele C. Battié, Maryse Fortin, Hassan Rivaz, Yiming Xiao:
Uncertainty-aware transformer model for anatomical landmark detection in paraspinal muscle MRIs. Medical Imaging: Image Processing 2023 - [c60]Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Is Visual Explanation with Grad-CAM More Reliable for Deeper Neural Networks? A Case Study with Automatic Pneumothorax Diagnosis. MLMI@MICCAI (2) 2023: 224-233 - [i29]Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz:
Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach. CoRR abs/2303.05747 (2023) - [i28]Hojat Asgariandehkordi, Sobhan Goudarzi, Adrian Basarab, Hassan Rivaz:
Deep Ultrasound Denoising Using Diffusion Probabilistic Models. CoRR abs/2306.07440 (2023) - [i27]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
FocalErrorNet: Uncertainty-aware focal modulation network for inter-modal registration error estimation in ultrasound-guided neurosurgery. CoRR abs/2307.14520 (2023) - [i26]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Towards multi-modal anatomical landmark detection for ultrasound-guided brain tumor resection with contrastive learning. CoRR abs/2307.14523 (2023) - [i25]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation. CoRR abs/2308.06964 (2023) - [i24]Soorena Salari, Amirhossein Rasoulian, Hassan Rivaz, Yiming Xiao:
Dense Error Map Estimation for MRI-Ultrasound Registration in Brain Tumor Surgery Using Swin UNETR. CoRR abs/2308.10784 (2023) - [i23]Mumu Aktar, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
VesselShot: Few-shot learning for cerebral blood vessel segmentation. CoRR abs/2308.14626 (2023) - [i22]Zirui Qiu, Hassan Rivaz, Yiming Xiao:
Is visual explanation with Grad-CAM more reliable for deeper neural networks? a case study with automatic pneumothorax diagnosis. CoRR abs/2308.15172 (2023) - 2022
- [c59]Behnaz Gheflati, Hassan Rivaz:
Vision Transformers for Classification of Breast Ultrasound Images. EMBC 2022: 480-483 - [c58]Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Deep Estimation of Speckle Statistics Parametric Images. EMBC 2022: 3907-3910 - [c57]Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz:
Segmentation of Intraoperative 3D Ultrasound Images Using a Pyramidal Blur-Pooled 2D U-Net. CuRIOUS/KiPA/MELA@MICCAI 2022: 69-75 - [c56]Parinaz Roshanzamir, Hassan Rivaz, Joshua Ahn, Hamza Mirza, Neda Naghdi, Meagan Anstruther, Michele C. Battié, Maryse Fortin, Yiming Xiao:
Joint Paraspinal Muscle Segmentation and Inter-rater Labeling Variability Prediction with Multi-task TransUNet. UNSURE@MICCAI 2022: 125-134 - [c55]Ali Kafaei Zad Tehrani, Hassan Rivaz:
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography. MICCAI (4) 2022: 218-227 - [i21]Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Robust Scatterer Number Density Segmentation of Ultrasound Images. CoRR abs/2201.06143 (2022) - [i20]Ali Kafaei Zad Tehrani, Hassan Rivaz:
Physically Inspired Constraint for Unsupervised Regularized Ultrasound Elastography. CoRR abs/2206.02225 (2022) - [i19]Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Deep Estimation of Speckle Statistics Parametric Images. CoRR abs/2206.04145 (2022) - [i18]Bahareh Behboodi, François-Xavier Carton, Matthieu Chabanas, Sandrine de Ribaupierre, Ole Solheim, Bodil K. R. Munkvold, Hassan Rivaz, Yiming Xiao, Ingerid Reinertsen:
RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images. CoRR abs/2207.07494 (2022) - [i17]Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz:
Transformer-Based Microbubble Localization. CoRR abs/2209.11859 (2022) - [i16]Ali Kafaei Zad Tehrani, Hassan Rivaz:
Infusing known operators in convolutional neural networks for lateral strain imaging in ultrasound elastography. CoRR abs/2211.00172 (2022) - [i15]Ali Kafaei Zad Tehrani, Iván M. Rosado-Méndez, Hassan Rivaz:
Homodyned K-distribution: parameter estimation and uncertainty quantification using Bayesian neural networks. CoRR abs/2211.00175 (2022) - [i14]Ali Kafaei Zad Tehrani, Md Ashikuzzaman, Hassan Rivaz:
Lateral Strain Imaging using Self-supervised and Physically Inspired Constraints in Unsupervised Regularized Elastography. CoRR abs/2212.08740 (2022) - 2021
- [j25]Nima Masoumi, Clyde J. Belasso, M. Omair Ahmad, Habib Benali, Yiming Xiao, Hassan Rivaz:
Multimodal 3D ultrasound and CT in image-guided spinal surgery: public database and new registration algorithms. Int. J. Comput. Assist. Radiol. Surg. 16(4): 555-565 (2021) - [j24]Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo, Pierre Brisson, Hassan Rivaz:
Fast and robust localization of surgical array using Kalman filter. Int. J. Comput. Assist. Radiol. Surg. 16(5): 829-837 (2021) - [j23]Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
Plane-Wave Ultrasound Beamforming Through Independent Component Analysis. Comput. Methods Programs Biomed. 203: 106036 (2021) - [c54]Noushin Jafarpisheh, Iván M. Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Analytical Globally-Regularized Estimation Of Effective Scatterer Diameter And Acoustic Concentration in Quantitative Ultrasound. ISBI 2021: 1021-1024 - [c53]Amir Pirhadi, Hassan Rivaz, M. Omair Ahmad, Yiming Xiao:
Robust Ultrasound-to-Ultrasound Registration for Intra-operative Brain Shift Correction with a Siamese Neural Network. ASMUS@MICCAI 2021: 85-95 - [c52]Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming. ASMUS@MICCAI 2021: 211-219 - [i13]Hamza Rasaee, Hassan Rivaz:
Explainable AI and susceptibility to adversarial attacks: a case study in classification of breast ultrasound images. CoRR abs/2108.04345 (2021) - [i12]Bahareh Behboodi, Hassan Rivaz, Susan Lalondrelle, Emma Harris:
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning. CoRR abs/2109.09283 (2021) - [i11]Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz:
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images. CoRR abs/2109.10353 (2021) - [i10]Abdelrahman Zayed, Hassan Rivaz:
Fast Strain Estimation and Frame Selection in Ultrasound Elastography using Machine Learning. CoRR abs/2110.08668 (2021) - [i9]Behnaz Gheflati, Hassan Rivaz:
Vision Transformer for Classification of Breast Ultrasound Images. CoRR abs/2110.14731 (2021) - 2020
- [j22]Mostafa Sharifzadeh, Habib Benali, Hassan Rivaz:
Phase Aberration Correction: A Convolutional Neural Network Approach. IEEE Access 8: 162252-162260 (2020) - [j21]Mina Amiri, Rupert Brooks, Bahareh Behboodi, Hassan Rivaz:
Two-stage ultrasound image segmentation using U-Net and test time augmentation. Int. J. Comput. Assist. Radiol. Surg. 15(6): 981-988 (2020) - [j20]Mumu Aktar, Donatella Tampieri, Hassan Rivaz, Marta Kersten-Oertel, Yiming Xiao:
Automatic collateral circulation scoring in ischemic stroke using 4D CT angiography with low-rank and sparse matrix decomposition. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1501-1511 (2020) - [j19]Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
Fast Multi-Focus Ultrasound Image Recovery Using Generative Adversarial Networks. IEEE Trans. Computational Imaging 6: 1272-1284 (2020) - [j18]Yiming Xiao, Andreas Maier, Wolfgang Wein, Roozbeh Shams, Samuel Kadoury, David Drobny, Marc Modat, Ingerid Reinertsen, Hassan Rivaz, Matthieu Chabanas, Maryse Fortin, Inês Machado, Yangming Ou, Mattias P. Heinrich, Julia A. Schnabel, Xia Zhong:
Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge. IEEE Trans. Medical Imaging 39(3): 777-786 (2020) - [j17]Md Ashikuzzaman, Clyde J. Belasso, Md. Golam Kibria, Andreas Bergdahl, Claudine Joëlle Gauthier, Hassan Rivaz:
Low Rank and Sparse Decomposition of Ultrasound Color Flow Images for Suppressing Clutter in Real-Time. IEEE Trans. Medical Imaging 39(4): 1073-1084 (2020) - [c51]Noushin Jafarpisheh, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Regularized Estimation of Effective Scatterer Size and Acoustic Concentration Quantitative Ultrasound Parameters Using Dynamic Programming*. EMBC 2020: 13-16 - [c50]Md Ashikuzzaman, Hassan Rivaz:
Incorporating Multiple Observations in global Ultrasound Elastography. EMBC 2020: 2007-2010 - [c49]Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz:
Automatic Frame Selection using CNN in Ultrasound Elastography. EMBC 2020: 2027-2030 - [c48]Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
High Frequency Ultrasound Image Recovery Using Tight Frame Generative Adversarial Networks. EMBC 2020: 2035-2038 - [c47]Niusha Kheirkhah, Sergio C. H. Dempsey, Hassan Rivaz, Abbas Samani, Ali Sadeghi-Naini:
A Tissue Mechanics Based Method to Improve Tissue Displacement Estimation in Ultrasound Elastography*. EMBC 2020: 2051-2054 - [c46]Ali Kafaei Zad Tehrani, Mina Amiri, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
A Pilot Study on Scatterer Density Classification of Ultrasound Images Using Deep Neural Networks. EMBC 2020: 2059-2062 - [c45]Mina Amiri, Ali Kafaei Zad Tehrani, Hassan Rivaz:
Segmentation of Ultrasound Images based on Scatterer Density using U-Net. EMBC 2020: 2063-2066 - [c44]Md Ashikuzzaman, Hassan Rivaz:
Denoising RF Data via Robust Principal Component Analysis: Results in Ultrasound Elastography. EMBC 2020: 2067-2070 - [c43]Morteza Mirzaei, Amir Asif, Hassan Rivaz:
Synthetic aperture with high lateral sampling frequency for ultrasound elastography. EMBC 2020: 2071-2074 - [c42]Ali Kafaei Zad Tehrani, Mina Amiri, Hassan Rivaz:
Real-time and High Quality Ultrasound Elastography Using Convolutional Neural Network by Incorporating Analytic Signal. EMBC 2020: 2075-2078 - [c41]Bahareh Behboodi, Maryse Fortin, Clyde J. Belasso, Rupert Brooks, Hassan Rivaz:
Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-Net. EMBC 2020: 2117-2120 - [c40]Pouria Chalangari, Thomas Fevens, Hassan Rivaz:
3D Human Knee Flexion Angle Estimation Using Deep Convolutional Neural Networks. EMBC 2020: 5424-5427 - [c39]Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast Lesion Segmentation in Ultrasound Images with Limited Annotated Data. ISBI 2020: 1834-1837 - [c38]Mumu Aktar, Yiming Xiao, Donatella Tampieri, Hassan Rivaz, Marta Kersten-Oertel:
A Radiomics-Based Machine Learning Approach to Assess Collateral Circulation in Ischemic Stroke on Non-contrast Computed Tomography. ML-CDS/CLIP@MICCAI 2020: 24-33 - [c37]Ali Kafaei Zad Tehrani, Morteza Mirzaei, Hassan Rivaz:
Semi-supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography. MICCAI (3) 2020: 504-513 - [i8]Bahareh Behboodi, Mina Amiri, Rupert Brooks, Hassan Rivaz:
Breast lesion segmentation in ultrasound images with limited annotated data. CoRR abs/2001.07322 (2020) - [i7]Abdelrahman Zayed, Guy Cloutier, Hassan Rivaz:
Automatic Frame Selection using CNN in Ultrasound Elastography. CoRR abs/2002.06734 (2020) - [i6]Mina Amiri, Rupert Brooks, Hassan Rivaz:
Fine tuning U-Net for ultrasound image segmentation: which layers? CoRR abs/2002.08438 (2020) - [i5]Ali Kafaei Zad Tehrani, Mina Amiri, Iván M. Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics. CoRR abs/2012.02738 (2020) - [i4]Md Ashikuzzaman, Noushin Jafarpisheh, Sunil Rottoo, Pierre Brisson, Hassan Rivaz:
Fast and Robust Localization of Surgical Array using Kalman Filter. CoRR abs/2012.11819 (2020)
2010 – 2019
- 2019
- [j16]Nima Masoumi, Yiming Xiao, Hassan Rivaz:
ARENA: Inter-modality affine registration using evolutionary strategy. Int. J. Comput. Assist. Radiol. Surg. 14(3): 441-450 (2019) - [j15]Morteza Mirzaei, Amir Asif, Hassan Rivaz:
Combining Total Variation Regularization with Window-Based Time Delay Estimation in Ultrasound Elastography. IEEE Trans. Medical Imaging 38(12): 2744-2754 (2019) - [c36]Abdelrahman Zayed, Hassan Rivaz:
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis. EMBC 2019: 6204-6207 - [c35]Bahareh Behboodi, Hassan Rivaz:
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data. EMBC 2019: 6628-6631 - [c34]Abdelrahman Zayed, Hassan Rivaz:
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography. ICIAR (2) 2019: 462-472 - [c33]Md Ashikuzzaman, Clyde J. Belasso, Claudine Joëlle Gauthier, Hassan Rivaz:
Suppressing Clutter Components In Ultrasound Color Flow Imaging Using Robust Matrix Completion Algorithm: Simulation And Phantom Study. ISBI 2019: 745-749 - [c32]Sobhan Goudarzi, Amir Asif, Hassan Rivaz:
Multi-Focus Ultrasound Imaging Using Generative Adversarial Networks. ISBI 2019: 1118-1121 - [c31]Morteza Mirzaei, Amir Asif, Hassan Rivaz:
Ultrasound Elastography Utilizing Pre-Beam-Formed Data. ISBI 2019: 1725-1728 - [c30]Zara Vajihi, Iván Rosado-Méndez, Timothy J. Hall, Hassan Rivaz:
L1 And L2 Norm Depth-Regularized Estimation Of The Acoustic Attenuation And Backscatter Coefficients Using Dynamic Programming. ISBI 2019: 1749-1752 - [c29]Mina Amiri, Rupert Brooks, Hassan Rivaz:
Fine Tuning U-Net for Ultrasound Image Segmentation: Which Layers? DART/MIL3ID@MICCAI 2019: 235-242 - [c28]Wenyao Xia, Maryse Fortin, Joshua Ahn, Hassan Rivaz, Michele C. Battié, Terry M. Peters, Yiming Xiao:
Automatic Paraspinal Muscle Segmentation in Patients with Lumbar Pathology Using Deep Convolutional Neural Network. MICCAI (2) 2019: 318-325 - [e2]Luping Zhou, Nicholas Heller, Yiyu Shi, Yiming Xiao, Raphael Sznitman, Veronika Cheplygina, Diana Mateus, Emanuele Trucco, Xiaobo Sharon Hu, Danny Ziyi Chen, Matthieu Chabanas, Hassan Rivaz, Ingerid Reinertsen:
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention - International Workshops, LABELS 2019, HAL-MICCAI 2019, and CuRIOUS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11851, Springer 2019, ISBN 978-3-030-33641-7 [contents] - [i3]Bahareh Behboodi, Hassan Rivaz:
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data. CoRR abs/1904.11031 (2019) - [i2]Abdelrahman Zayed, Hassan Rivaz:
Fast Approximate Time-Delay Estimation in Ultrasound Elastography Using Principal Component Analysis. CoRR abs/1911.05242 (2019) - [i1]Abdelrahman Zayed, Hassan Rivaz:
Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography. CoRR abs/1911.05245 (2019) - 2018
- [j14]Yiming Xiao, Live Eikenes, Ingerid Reinertsen, Hassan Rivaz:
Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Int. J. Comput. Assist. Radiol. Surg. 13(3): 457-467 (2018) - [j13]Yiming Xiao, Live Eikenes, Ingerid Reinertsen, Hassan Rivaz:
Correction to: Nonlinear deformation of tractography in ultrasound-guided low-grade gliomas resection. Int. J. Comput. Assist. Radiol. Surg. 13(3): 469 (2018) - [j12]Roozbeh Shams, Yiming Xiao, François Hébert, Matthew Abramowitz, Rupert Brooks, Hassan Rivaz:
Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy. IEEE Trans. Medical Imaging 37(2): 428-437 (2018) - [c27]Hossein Khodadadi, Amir G. Aghdam, Hassan Rivaz:
Direct strain estimation in ultrasound elastography using a novel dynamic programming approach. ISBI 2018: 1182-1186 - [c26]Hoda S. Hashemi, Stefanie Fallone, Mathieu Boily, Anna Towers, Robert D. Kilgour, Hassan Rivaz:
Ultrasound elastography of breast cancer-related lymphedema. ISBI 2018: 1491-1495 - [c25]Md. Golam Kibria, Hassan Rivaz:
GLUENet: Ultrasound Elastography Using Convolutional Neural Network. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI 2018: 21-28 - [c24]Parviz Khavari, Amir Asif, Hassan Rivaz:
Non-Local Super Resolution in Ultrasound Imaging. MMSP 2018: 1-6 - [e1]Danail Stoyanov, Zeike Taylor, Stephen R. Aylward, João Manuel R. S. Tavares, Yiming Xiao, Amber L. Simpson, Anne L. Martel, Lena Maier-Hein, Shuo Li, Hassan Rivaz, Ingerid Reinertsen, Matthieu Chabanas, Keyvan Farahani:
Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation - International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11042, Springer 2018, ISBN 978-3-030-01044-7 [contents] - 2017
- [j11]Seyed Reza Mousavi, Hassan Rivaz, Ali Sadeghi-Naini, Gregory J. Czarnota, Abbas Samani:
Breast Ultrasound Elastography Using Full Inversion-Based Elastic Modulus Reconstruction. IEEE Trans. Computational Imaging 3(4): 774-782 (2017) - [j10]Mona Omidyeganeh, Yiming Xiao, M. Omair Ahmad, Hassan Rivaz:
Estimation of Strain Elastography from Ultrasound Radio-Frequency Data by Utilizing Analytic Gradient of the Similarity Metric. IEEE Trans. Medical Imaging 36(6): 1347-1358 (2017) - [c23]M. Ghasemi Amidabadi, M. Omair Ahmad, Hassan Rivaz:
Automatic accuracy assessment of ultrasound elastography using correlation profile and prior information of displacement continuity. GlobalSIP 2017: 755-759 - [c22]Mahmoud Derakhshan Horeh, Amir Asif, Hassan Rivaz:
Regularized tracking of shear-wave in ultrasound elastography. ICASSP 2017: 6264-6268 - [c21]Nima Masoumi, Yiming Xiao, Hassan Rivaz:
MARCEL (Inter-Modality Affine Registration with CorrELation Ratio): An Application for Brain Shift Correction in Ultrasound-Guided Brain Tumor Resection. BrainLes@MICCAI 2017: 55-63 - [c20]Yiming Xiao, Ali Alamer, Vladimir S. Fonov, Benjamin W. Y. Lo, Donatella Tampieri, D. Louis Collins, Hassan Rivaz, Marta Kersten-Oertel:
Towards Automatic Collateral Circulation Score Evaluation in Ischemic Stroke Using Image Decompositions and Support Vector Machines. CMMI/RAMBO/SWITCH@MICCAI 2017: 158-167 - 2016
- [j9]Hang Zhou, Hassan Rivaz:
Registration of Pre- and Postresection Ultrasound Volumes With Noncorresponding Regions in Neurosurgery. IEEE J. Biomed. Health Informatics 20(5): 1240-1249 (2016) - [c19]Mohammad Khosravi, Hossein Khodadadi, Hassan Rivaz, Amir G. Aghdam:
Cooperative receding horizon control of double integrator vehicles for multi-target interception. ACC 2016: 5525-5530 - [c18]Mohammad Khosravi, Hossein Khodadadi, Amir G. Aghdam, Hassan Rivaz:
A cooperative receding horizon controller for multi-target interception with Obstacle Avoidance. CDC 2016: 93-98 - 2015
- [j8]Hassan Rivaz, D. Louis Collins:
Deformable registration of preoperative MR, pre-resection ultrasound, and post-resection ultrasound images of neurosurgery. Int. J. Comput. Assist. Radiol. Surg. 10(7): 1017-1028 (2015) - [j7]Hassan Rivaz, Sean Jy-Shyang Chen, D. Louis Collins:
Automatic Deformable MR-Ultrasound Registration for Image-Guided Neurosurgery. IEEE Trans. Medical Imaging 34(2): 366-380 (2015) - [j6]Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple Sclerosis Lesions in Brain MRI. IEEE Trans. Medical Imaging 34(6): 1227-1241 (2015) - [c17]Mohammad Khosravi, Hossein Khodadadi, Hassan Rivaz, Amir G. Aghdam:
Cooperative control for multi-target interception with sensing and communication limitations: A game-theoretic approach. CDC 2015: 1048-1053 - [c16]Hang Zhou, Hassan Rivaz:
Robust deformable registration of pre- and post-resection ultrasound volumes for visualization of residual tumor in neurosurgery. EMBC 2015: 141-144 - [c15]Hossein Khodadadi, Amir G. Aghdam, Hassan Rivaz:
Edge-preserving ultrasonic strain imaging with uniform precision. EMBC 2015: 3835-3838 - [c14]Mohammad Khosravi, Hossein Khodadadi, Amir G. Aghdam, Hassan Rivaz:
Maximum reward collection problem: a cooperative receding horizon approach for dynamic clustering. RACS 2015: 38-43 - 2014
- [j5]Hassan Rivaz, Emad Boctor, Michael A. Choti, Gregory D. Hager:
Ultrasound elastography using multiple images. Medical Image Anal. 18(2): 314-329 (2014) - [j4]Hassan Rivaz, Zahra Karimaghaloo, D. Louis Collins:
Self-similarity weighted mutual information: A new nonrigid image registration metric. Medical Image Anal. 18(2): 343-358 (2014) - [j3]Hassan Rivaz, Zahra Karimaghaloo, Vladimir S. Fonov, D. Louis Collins:
Nonrigid Registration of Ultrasound and MRI Using Contextual Conditioned Mutual Information. IEEE Trans. Medical Imaging 33(3): 708-725 (2014) - [c13]Hassan Rivaz, D. Louis Collins:
Simulation of Ultrasound Images for Validation of MR to Ultrasound Registration in Neurosurgery. AE-CAI 2014: 23-32 - 2013
- [c12]Zahra Karimaghaloo, Hassan Rivaz, Douglas L. Arnold, D. Louis Collins, Tal Arbel:
Adaptive Voxel, Texture and Temporal Conditional Random Fields for Detection of Gad-Enhancing Multiple Sclerosis Lesions in Brain MRI. MICCAI (3) 2013: 543-550 - 2012
- [c11]Zahra Karimaghaloo, Hassan Rivaz, Tal Arbel:
Hierarchical Conditional Random Fields for Myocardium Infarction Detection. STACOM 2012: 80-86 - [c10]Hassan Rivaz, D. Louis Collins:
Self-similarity Weighted Mutual Information: A New Nonrigid Image Registration Metric. MICCAI (3) 2012: 91-98 - 2011
- [j2]Hassan Rivaz, Emad Boctor, Michael A. Choti, Gregory D. Hager:
Real-Time Regularized Ultrasound Elastography. IEEE Trans. Medical Imaging 30(4): 928-945 (2011) - [c9]Arezou Akbarian Azar, Hassan Rivaz, Emad Boctor:
Speckle detection in ultrasonic images using unsupervised clustering techniques. EMBC 2011: 8098-8101 - [c8]Hassan Rivaz, Emad Boctor, Michael A. Choti, Gregory D. Hager:
Ultrasound Elastography Using Three Images. MICCAI (1) 2011: 371-378 - 2010
- [c7]Pezhman Foroughi, Hassan Rivaz, Ioana Fleming, Gregory D. Hager, Emad Boctor:
Tracked Ultrasound Elastography (TrUE). MICCAI (2) 2010: 9-16
2000 – 2009
- 2009
- [c6]Hassan Rivaz, Yoshihisa Shinagawa, Jianming Liang:
Physical priors in virtual colonoscopy. Medical Imaging: Computer-Aided Diagnosis 2009: 726019 - [c5]Hassan Rivaz, Pezhman Foroughi, Ioana Fleming, Richard Zellars, Emad Boctor, Gregory D. Hager:
Tracked Regularized Ultrasound Elastography for Targeting Breast Radiotherapy. MICCAI (1) 2009: 507-515 - [c4]Emad M. Boctor, Mohammad Matinfar, Omar M. Ahmad, Hassan Rivaz, Michael A. Choti, Russell H. Taylor:
Elasticity-based three dimensional ultrasound real-time volume rendering. Medical Imaging: Image-Guided Procedures 2009: 72612V - [c3]Ioana Fleming, Hassan Rivaz, Katarzyna J. Macura, Li-Ming Su, Ulrike M. Hamper, Gwen A. Lagoda, Arthur L. Burnett, Tamara Lotan, Russell H. Taylor, Gregory D. Hager, Emad M. Boctor:
Ultrasound elastography: enabling technology for image guided laparoscopic prostatectomy. Medical Imaging: Image-Guided Procedures 2009: 72612I - 2008
- [j1]Hassan Rivaz, Emad Boctor, Pezhman Foroughi, Richard Zellars, Gabor Fichtinger, Gregory D. Hager:
Ultrasound Elastography: A Dynamic Programming Approach. IEEE Trans. Medical Imaging 27(10): 1373-1377 (2008) - [c2]Hassan Rivaz, Ioana Fleming, Lia Assumpcao, Gabor Fichtinger, Ulrike M. Hamper, Michael A. Choti, Gregory D. Hager, Emad Boctor:
Ablation Monitoring with Elastography: 2D In-vivoand 3D Ex-vivoStudies. MICCAI (2) 2008: 458-466 - 2005
- [c1]Hassan Rivaz, Robert Rohling:
A Hand-Held Probe for Vibro-Elastography. MICCAI 2005: 613-620
Coauthor Index
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