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2020 – today
- 2024
- [j18]Ken C. L. Wong
, Satyananda Kashyap
Basis scaling and double pruning for efficient inference in network-based transfer learning. Pattern Recognit. Lett. 177: 1-6 (2024) - [c75]Lyuyang Wang, Sommer Chou, Gerry Wright, Lesley MacNeil, Mehdi Moradi:
TriCC: Self-Supervised Contrastive Learning for Image-Based Antiparasitic Drug Discovery. ISBI 2024: 1-5 - [c74]Mehrdad Eshraghi Dehaghani, Amirhossein Sabour, Amarachi B. Madu, Ismini Lourentzou, Mehdi Moradi:
Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection. MICCAI (1) 2024: 578-587 - 2023
- [c73]Amarachi Mbakawe, Lyuyang Wang, Mehdi Moradi, Ismini Lourentzou:
Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images. MICCAI (5) 2023: 685-695 - 2022
- [c72]Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi:
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. AMIA 2022 - [c71]Ken C. L. Wong, Mehdi Moradi:
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. MLMI@MICCAI 2022: 53-61 - [c70]Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. MICCAI (1) 2022: 581-591 - [c69]Satyananda Kashyap, Hakan Bulu, Ashutosh Jadhav, Ronak Dholakia, Amon Y. Liu, Hussain Rangwala, William R. Patterson, Mehdi Moradi:
A new deep neural segmentation network for cerebral aneurysms in 2D digital subtraction angiography. Image-Guided Procedures 2022 - [i20]Ken C. L. Wong, Mehdi Moradi:
3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. CoRR abs/2201.03644 (2022) - [i19]Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. CoRR abs/2208.03873 (2022) - [i18]Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Amon Y. Liu, Tanveer F. Syeda-Mahmood, William R. Patterson, Hussain Rangwala, Mehdi Moradi:
Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. CoRR abs/2211.11749 (2022) - 2021
- [j17]Nandinee Fariah Haq, Mehdi Moradi, Zhen Jane Wang:
A deep community based approach for large scale content based X-ray image retrieval. Medical Image Anal. 68: 101847 (2021) - [c68]Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi:
Channel Scaling: A Scale-And-Select Approach For Transfer Learning. ISBI 2021: 807-811 - [c67]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. MICCAI (5) 2021: 804-813 - [c66]Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks 2021 - [i17]Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi:
Channel Scaling: A Scale-and-Select Approach for Transfer Learning. CoRR abs/2103.12228 (2021) - [i16]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. CoRR abs/2105.09937 (2021) - [i15]Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. CoRR abs/2108.00316 (2021) - [i14]Ken C. L. Wong, Satyananda Kashyap, Mehdi Moradi:
Basis Scaling and Double Pruning for Efficient Transfer Learning. CoRR abs/2108.02893 (2021) - 2020
- [c65]Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA 2020 - [c64]Joy T. Wu, Ali Bin Syed, Hassan M. Ahmad, Anup Pillai, Yaniv Gur, Ashutosh Jadhav, Daniel F. Gruhl, Linda Kato, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
AI Accelerated Human-in-the-loop Structuring of Radiology Reports. AMIA 2020 - [c63]Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI 2020: 799-803 - [c62]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI 2020: 1125-1129 - [c61]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood:
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI 2020: 1851-1855 - [c60]Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Quality controlled segmentation to aid disease detection. Computer-Aided Diagnosis 2020 - [c59]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 2020: 561-571 - [c58]Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI 2020: 644-653 - [i13]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR abs/2007.13831 (2020) - [i12]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR abs/2008.00363 (2020) - [i11]Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR abs/2008.04152 (2020) - [i10]Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi:
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR abs/2009.07386 (2020)
2010 – 2019
- 2019
- [j16]Nandinee Fariah Haq
Community structure detection from networks with weighted modularity. Pattern Recognit. Lett. 122: 14-22 (2019) - [c57]Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI 2019: 863-867 - [c56]Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI 2019: 877-881 - [c55]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Identifying disease-free chest x-ray images with deep transfer learning. Computer-Aided Diagnosis 2019: 109500P - [c54]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood:
Age prediction using a large chest x-ray dataset. Computer-Aided Diagnosis 2019: 109501U - [c53]Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris
Artificial intelligence for point of care radiograph quality assessment. Computer-Aided Diagnosis 2019: 109503K - [c52]Ken C. L. Wong, Mehdi Moradi:
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. MICCAI (3) 2019: 393-401 - [c51]Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood:
Body part and imaging modality classification for a general radiology cognitive assistant. Image Processing 2019: 1094910 - [i9]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Age prediction using a large chest X-ray dataset. CoRR abs/1903.06542 (2019) - [i8]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Identifying disease-free chest X-ray images with deep transfer learning. CoRR abs/1904.01654 (2019) - [i7]Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR abs/1906.09336 (2019) - [i6]Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR abs/1906.09354 (2019) - [i5]Ken C. L. Wong, Mehdi Moradi:
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. CoRR abs/1909.05962 (2019) - 2018
- [j15]Alireza Heidari, Mehdi Moradi, Alireza Aslani, Ahmad Hajinezhad:
Optimization of Micro-Grid Electricity Market Based on Multi Agent Modeling Approach. Int. J. Energy Optim. Eng. 7(3): 1-23 (2018) - [j14]Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building medical image classifiers with very limited data using segmentation networks. Medical Image Anal. 49: 105-116 (2018) - [c50]Gopalkrishna Veni, Mehdi Moradi, Hakan Bulu, Girish Narayan, Tanveer F. Syeda-Mahmood:
Echocardiography segmentation based on a shape-guided deformable model driven by a fully convolutional network prior. ISBI 2018: 898-902 - [c49]Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Semi-supervised learning with generative adversarial networks for chest X-ray classification with ability of data domain adaptation. ISBI 2018: 1038-1042 - [c48]Allen Lu, Ehsan Dehghan, Gopalkrishna Veni, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Detecting anomalies from echocardiography using multi-view regression of clinical measurements. ISBI 2018: 1504-1508 - [c47]Mehdi Moradi, Saeed Parsa
A Genetic Algorithm Hybridized with an Efficient Mutation Operator for Identifying Hidden Communities of Complex Networks. IST 2018: 618-623 - [c46]Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood:
Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. DLMIA/ML-CDS@MICCAI 2018: 377-384 - [c45]Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. MICCAI (1) 2018: 449-456 - [c44]Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood:
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. MICCAI (3) 2018: 612-619 - [c43]Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood:
Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Image Processing 2018: 105741M - [c42]Hui Tang, Mehdi Moradi, Ahmed El Harouni, Hongzhi Wang, Gopalkrishna Veni, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
Segmentation of anatomical structures in cardiac CTA using multi-label V-Net. Image Processing 2018: 1057407 - [e2]Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi:
Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11045, Springer 2018, ISBN 978-3-030-00888-8 [contents] - [i4]Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR abs/1805.02730 (2018) - [i3]Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building medical image classifiers with very limited data using segmentation networks. CoRR abs/1808.05205 (2018) - [i2]Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer Fathima Syeda-Mahmood:
3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. CoRR abs/1809.00076 (2018) - [i1]Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood:
Bimodal network architectures for automatic generation of image annotation from text. CoRR abs/1809.01610 (2018) - 2017
- [c41]Hui Tang, Mehdi Moradi, Prasanth Prasanna, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
An algorithm for fully automatic detection of calcium in chest CT imaging. ISBI 2017: 265-269 - [c40]Mehdi Moradi, Yufan Guo, Yaniv Gur, Tanveer F. Syeda-Mahmood:
Automatic labeling of continuous wave Doppler images based on combined image and sentence networks. ISBI 2017: 667-670 - [c39]Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli
Automatic extraction of disease-specific features from Doppler images. Computer-Aided Diagnosis 2017: 101340N - [c38]Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin B. Compas, Tanveer F. Syeda-Mahmood:
Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. CVII-STENT/LABELS@MICCAI 2017: 87-95 - [c37]Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. MICCAI (3) 2017: 168-176 - [c36]Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi:
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. MICCAI (3) 2017: 471-479 - [e1]M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu:
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10553, Springer 2017, ISBN 978-3-319-67557-2 [contents] - 2016
- [j13]Soheil Hor, Mehdi Moradi
Learning in data-limited multimodal scenarios: Scandent decision forests and tree-based features. Medical Image Anal. 34: 30-41 (2016) - [c35]Adrian Wong, Martin J. McKeown
False discovery rate controller for functional brain parcellation. CCECE 2016: 1-4 - [c34]Mehdi Moradi, Yaniv Gur, Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood:
A hybrid learning approach for semantic labeling of cardiac CT slices and recognition of body position. ISBI 2016: 1418-1421 - [c33]Tanveer F. Syeda-Mahmood, Eugene Walach, David Beymer, Flora Gilboa-Solomon, Mehdi Moradi, Pavel Kisilev, Deepika Kakrania, Colin B. Compas, Hongzhi Wang, Mohammadreza Negahdar, Yu Cao, Tyler Baldwin, Yufan Guo, Yaniv Gur, Deepta Rajan, Aviad Zlotnick, Simona Rabinovici-Cohen
Medical sieve: a cognitive assistant for radiologists and cardiologists. Computer-Aided Diagnosis 2016: 97850A - [c32]Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor:
Tree-Based Transforms for Privileged Learning. MLMI@MICCAI 2016: 188-195 - [c31]Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar:
Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. MICCAI (3) 2016: 238-245 - [c30]Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood:
A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. MICCAI (2) 2016: 300-307 - [c29]Noel C. F. Codella, Mehdi Moradi, Matt Matasar, Tanveer F. Syeda-Mahmood, John R. Smith:
Lymphoma diagnosis in histopathology using a multi-stage visual learning approach. Digital Pathology 2016: 97910H - 2015
- [j12]Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak
Augmenting MRI-transrectal ultrasound-guided prostate biopsy with temporal ultrasound data: a clinical feasibility study. Int. J. Comput. Assist. Radiol. Surg. 10(6): 727-735 (2015) - [j11]Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, Larry Goldenberg, Mehdi Moradi:
A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI. Comput. Medical Imaging Graph. 41: 37-45 (2015) - [j10]Nishant Uniyal, Hani Eskandari, Purang Abolmaesumi, Samira Sojoudi, Paula Gordon, Linda Warren, Robert N. Rohling, Septimiu E. Salcudean
Ultrasound RF Time Series for Classification of Breast Lesions. IEEE Trans. Medical Imaging 34(2): 652-661 (2015) - [c28]Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood:
Viewpoint Recognition in Cardiac CT Images. FIMH 2015: 180-188 - [c27]Yu Cao, Hongzhi Wang, Mehdi Moradi, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood:
Fracture detection in x-ray images through stacked random forests feature fusion. ISBI 2015: 801-805 - [c26]Hussam Al-Deen Ashab, Nandinee Fariah Haq, Guy Nir, Piotr Kozlowski, Peter C. Black, Edward C. Jones, S. Larry Goldenberg, Septimiu E. Salcudean
Multimodal classification of prostate tissue: a feasibility study on combining multiparametric MRI and ultrasound. Computer-Aided Diagnosis 2015: 94141B - [c25]Amir Khojaste, Farhad Imani, Mehdi Moradi, David M. Berman
Characterization of aggressive prostate cancer using ultrasound RF time series. Computer-Aided Diagnosis 2015: 94141A - [c24]Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, S. Larry Goldenberg, Mehdi Moradi:
Prostate cancer detection from model-free T1-weighted time series and diffusion imaging. Computer-Aided Diagnosis 2015: 94142X - [c23]Shekoofeh Azizi
Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. MICCAI (2) 2015: 70-77 - [c22]Soheil Hor, Mehdi Moradi:
Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets. MICCAI (1) 2015: 694-701 - 2014
- [c21]Nandinee Fariah Haq, Piotr Kozlowski, Edward C. Jones, Silvia D. Chang, S. Larry Goldenberg, Mehdi Moradi:
Improved parameter extraction and classification for dynamic contrast enhanced MRI of prostate. Computer-Aided Diagnosis 2014: 903511 - [c20]Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak
Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. CLIP@MICCAI 2014: 142-150 - [c19]Hussam Al-Deen Ashab, Piotr Kozlowski, Larry Goldenberg, Mehdi Moradi:
Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data. MLMI 2014: 289-296 - [c18]Omid Mohareri, Angelica Ruszkowski, Julio Lobo, Joseph Ischia, Ali Baghani, Guy Nir, Hani Eskandari, Edward C. Jones, Ladan Fazli, Larry Goldenberg, Mehdi Moradi, Septimiu E. Salcudean
Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors. MICCAI (1) 2014: 561-568 - [c17]Adrian Wong, Samira Sojoudi, Marc Gaudet, Wan Wan Yap, Silvia D. Chang, Purang Abolmaesumi
Towards enabling ultrasound guidance in cervical cancer high-dose-rate brachytherapy. Image-Guided Procedures 2014: 90361Q - 2013
- [j9]Mehdi Moradi, Seyedeh Sara Mahdavi, Julian Guerrero
Statistical unit root test for edge detection in ultrasound images of vessels and cysts. J. Electronic Imaging 22(3): 033013 (2013) - [c16]Mehdi Moradi, Seyedeh Sara Mahdavi, Guy Nir, Edward C. Jones, S. Larry Goldenberg, Septimiu E. Salcudean
Ultrasound RF time series for tissue typing: first in vivo clinical results. Computer-Aided Diagnosis 2013: 86701I - 2012
- [j8]Mehdi Moradi, Seyedeh Sara Mahdavi, Ehsan Dehghan, Julio Lobo, Sanchit Deshmukh
Seed localization in Ultrasound and Registration to C-Arm Fluoroscopy Using Matched Needle Tracks for Prostate Brachytherapy. IEEE Trans. Biomed. Eng. 59(9): 2558-2567 (2012) - [j7]Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, William J. Morris, Gabor Fichtinger, Septimiu E. Salcudean
Use of Needle Track Detection to Quantify the Displacement of Stranded Seeds Following Prostate Brachytherapy. IEEE Trans. Medical Imaging 31(3): 738-748 (2012) - [j6]Seyedeh Sara Mahdavi, Mehdi Moradi, William J. Morris, Larry Goldenberg, Septimiu E. Salcudean
Fusion of Ultrasound B-Mode and Vibro-Elastography Images for Automatic 3-D Segmentation of the Prostate. IEEE Trans. Medical Imaging 31(11): 2073-2082 (2012) - [c15]Mehdi Moradi, Firdaus Janoos, Andriy Fedorov, Petter Risholm, Tina Kapur, Luciant D. Wolfsberger, Paul L. Nguyen, Clare M. Tempany, William M. Wells III:
Two solutions for registration of ultrasound to MRI for image-guided prostate interventions. EMBC 2012: 1129-1132 - [c14]Mehdi Moradi, Christian Wachinger
MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. MLMI 2012: 19-26 - 2011
- [j5]Seyedeh Sara Mahdavi, Mehdi Moradi, Xu Wen, William J. Morris, Septimiu E. Salcudean
Evaluation of visualization of the prostate gland in vibro-elastography images. Medical Image Anal. 15(4): 589-600 (2011) - [j4]Ehsan Dehghan, Ameet K. Jain, Mehdi Moradi, Xu Wen, William James Morris, Septimiu E. Salcudean
Brachytherapy seed reconstruction with joint-encoded C-arm single-axis rotation and motion compensation. Medical Image Anal. 15(5): 760-771 (2011) - [c13]Troy K. Adebar, Septimiu E. Salcudean
A Robotic System for Intra-operative Trans-Rectal Ultrasound and Ultrasound Elastography in Radical Prostatectomy. IPCAI 2011: 79-89 - [c12]Mehdi Moradi, Seyedeh Sara Mahdavi, Sanchit Deshmukh
Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy. MICCAI (1) 2011: 291-298 - [c11]Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean
Quantifying Stranded Implant Displacement Following Prostate Brachytherapy. MICCAI (1) 2011: 307-314 - 2010
- [j3]James Monaco, John Tomaszewski, Michael D. Feldman, Ian S. Hagemann
High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models. Medical Image Anal. 14(4): 617-629 (2010) - [c10]Seyedeh Sara Mahdavi, Mehdi Moradi, William J. Morris, Septimiu E. Salcudean
Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images. MICCAI (2) 2010: 76-83 - [c9]Ehsan Dehghan, Junghoon Lee, Mehdi Moradi, Xu Wen, Gabor Fichtinger, Septimiu E. Salcudean
Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation. MICCAI (1) 2010: 283-290
2000 – 2009
- 2009
- [j2]Mehdi Moradi, Purang Mousavi, Alexander Boag, Eric Sauerbrei, Robert Siemens, Purang Abolmaesumi:
Augmenting Detection of Prostate Cancer in Transrectal Ultrasound Images Using SVM and RF Time Series. IEEE Trans. Biomed. Eng. 56(9): 2214-2224 (2009) - [c8]Mohammad Aboofazeli, Purang Abolmaesumi
Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series. Computer-Aided Diagnosis 2009: 72603J - [c7]Seyedeh Sara Mahdavi, Mehdi Moradi, Xu Wen, William J. Morris, Septimiu E. Salcudean
Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation. MICCAI (1) 2009: 339-347 - [c6]James Monaco, John Tomaszewski, Michael D. Feldman, Mehdi Moradi, Parvin Mousavi
Probabilistic pairwise Markov models: application to prostate cancer detection. Image Processing 2009: 725903 - 2008
- [b1]Mehdi Moradi:
A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer. Queen's University at Kingston, Ontario, Canada, 2008 - [c5]Mehdi Moradi, Parvin Mousavi
Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers. MICCAI (1) 2008: 76-84 - 2007
- [c4]Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi:
Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series. MICCAI (2) 2007: 900-908 - 2006
- [j1]Mehdi Moradi, Seyed Kamaledin Setarehdan:
New features for automatic classification of human chromosomes: A feasibility study. Pattern Recognit. Lett. 27(1): 19-28 (2006) - [c3]Mehdi Moradi, Purang Abolmaesumi
Detection of Prostate Cancer from RF Ultrasound Echo Signals Using Fractal Analysis. EMBC 2006: 2400-2403 - [c2]Mehdi Moradi, Purang Abolmaesumi, Parvin Mousavi
Deformable registration using scale space keypoints. Image Processing 2006: 61442G - 2003
- [c1]Mehdi Moradi, Seyed Kamaledin Setarehdan, S. R. Ghaffari:
Automatic Locating the Centromere on Human Chromosome Pictures. CBMS 2003: 56-61
Coauthor Index
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