Mehdi Moradi
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
3
Active years
2003–2025
Best venue rank
A
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Mind the Evaluation Gap: Large Language Models for Structured Data Extraction from Radiology Reports. | Amirhossein Sabour, Kailin Chu, Mehrdad Eshraghi Dehaghani, Mehdi Moradi |
| 2024 | MICCAI | Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection. | Mehrdad Eshraghi Dehaghani, Amirhossein Sabour, Amarachi B. Madu, Ismini Lourentzou, Mehdi Moradi |
| 2023 | MICCAI | Hierarchical Vision Transformers for Disease Progression Detection in Chest X-Ray Images. | Amarachi Mbakawe, Lyuyang Wang, Mehdi Moradi, Ismini Lourentzou |
| 2022 | AMIA | Towards Automatic Prediction of Outcome in Treatment of Cerebral Aneurysms. | Ashutosh Jadhav, Satyananda Kashyap, Hakan Bulu, Ronak Dholakia, Tanveer F. Syeda-Mahmood, Hussain Rangwala, Mehdi Moradi |
| 2022 | MICCAI | CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. | Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou |
| 2022 | MICCAI | 3D Segmentation with Fully Trainable Gabor Kernels and Pearson's Correlation Coefficient. | Ken C. L. Wong, Mehdi Moradi |
| 2021 | MICCAI | AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. | Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler |
| 2020 | AMIA | Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. | Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood |
| 2020 | AMIA | AI Accelerated Human-in-the-loop Structuring of Radiology Reports. | 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 |
| 2020 | MICCAI | Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. | Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi |
| 2020 | MICCAI | Chest X-Ray Report Generation Through Fine-Grained Label Learning. | 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 |
| 2019 | MICCAI | SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation. | Ken C. L. Wong, Mehdi Moradi |
| 2018 | MICCAI | Bimodal Network Architectures for Automatic Generation of Image Annotation from Text. | Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood |
| 2018 | MICCAI | Integrating Deformable Modeling with 3D Deep Neural Network Segmentation. | Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood |
| 2018 | MICCAI | 3D Segmentation with Exponential Logarithmic Loss for Highly Unbalanced Object Sizes. | Ken C. L. Wong, Mehdi Moradi, Hui Tang, Tanveer F. Syeda-Mahmood |
| 2017 | MICCAI | Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies. | Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin B. Compas, Tanveer F. Syeda-Mahmood |
| 2017 | MICCAI | A Multi-atlas Approach to Region of Interest Detection for Medical Image Classification. | Hongzhi Wang, Mehdi Moradi, Yaniv Gur, Prasanth Prasanna, Tanveer F. Syeda-Mahmood |
| 2017 | MICCAI | Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. | Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi |
| 2016 | MICCAI | A Cross-Modality Neural Network Transform for Semi-automatic Medical Image Annotation. | Mehdi Moradi, Yufan Guo, Yaniv Gur, Mohammadreza Negahdar, Tanveer F. Syeda-Mahmood |
| 2016 | MICCAI | Tree-Based Transforms for Privileged Learning. | Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor |
| 2016 | MICCAI | Identifying Patients at Risk for Aortic Stenosis Through Learning from Multimodal Data. | Tanveer F. Syeda-Mahmood, Yanrong Guo, Mehdi Moradi, David Beymer, Deepta Rajan, Yu Cao, Yaniv Gur, Mohammadreza Negahdar |
| 2015 | MICCAI | Ultrasound-Based Detection of Prostate Cancer Using Automatic Feature Selection with Deep Belief Networks. | Shekoofeh Azizi, Farhad Imani, Bo Zhuang, Amir M. Tahmasebi, Jin Tae Kwak, Sheng Xu, Nishant Uniyal, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Bradford J. Wood, Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi |
| 2015 | MICCAI | Scandent Tree: A Random Forest Learning Method for Incomplete Multimodal Datasets. | Soheil Hor, Mehdi Moradi |
| 2014 | MICCAI | Solutions for Missing Parameters in Computer-Aided Diagnosis with Multiparametric Imaging Data. | Hussam Al-Deen Ashab, Piotr Kozlowski, Larry Goldenberg, Mehdi Moradi |
| 2014 | MICCAI | Multi-parametric 3D Quantitative Ultrasound Vibro-Elastography Imaging for Detecting Palpable Prostate Tumors. | 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 |
| 2014 | MICCAI | Ultrasound-Based Predication of Prostate Cancer in MRI-guided Biopsy. | Nishant Uniyal, Farhad Imani, Amir M. Tahmasebi, Harsh K. Agarwal, Shyam Bharat, Pingkun Yan, Jochen Kruecker, Jin Tae Kwak, Sheng Xu, Bradford J. Wood, Peter A. Pinto, Baris Turkbey, Peter L. Choyke, Purang Abolmaesumi, Parvin Mousavi, Mehdi Moradi |
| 2012 | MICCAI | MRI Confirmed Prostate Tissue Classification with Laplacian Eigenmaps of Ultrasound RF Spectra. | Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells III, Tina Kapur, Luciant D. Wolfsberger, Paul Nguyen, Clare M. Tempany |
| 2011 | MICCAI | Quantifying Stranded Implant Displacement Following Prostate Brachytherapy. | Julio Lobo, Mehdi Moradi, Nick Chng, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean |
| 2011 | MICCAI | Towards Intra-operative Prostate Brachytherapy Dosimetry Based on Partial Seed Localization in Ultrasound and Registration to C-arm Fluoroscopy. | Mehdi Moradi, Seyedeh Sara Mahdavi, Sanchit Deshmukh, Julio Lobo, Ehsan Dehghan, Gabor Fichtinger, William J. Morris, Septimiu E. Salcudean |
| 2010 | MICCAI | Prostate Brachytherapy Seed Reconstruction Using C-Arm Rotation Measurement and Motion Compensation. | Ehsan Dehghan, Junghoon Lee, Mehdi Moradi, Xu Wen, Gabor Fichtinger, Septimiu E. Salcudean |
| 2010 | MICCAI | Automatic Prostate Segmentation Using Fused Ultrasound B-Mode and Elastography Images. | Seyedeh Sara Mahdavi, Mehdi Moradi, William J. Morris, Septimiu E. Salcudean |
| 2009 | MICCAI | Vibro-Elastography for Visualization of the Prostate Region: Method Evaluation. | Seyedeh Sara Mahdavi, Mehdi Moradi, Xu Wen, William J. Morris, Septimiu E. Salcudean |
| 2008 | MICCAI | Prostate Cancer Probability Maps Based on Ultrasound RF Time Series and SVM Classifiers. | Mehdi Moradi, Parvin Mousavi, Robert Siemens, Eric Sauerbrei, Alexander Boag, Purang Abolmaesumi |
| 2007 | MICCAI | Tissue Characterization Using Fractal Dimension of High Frequency Ultrasound RF Time Series. | Mehdi Moradi, Parvin Mousavi, Purang Abolmaesumi |
| 2003 | CBMS | Automatic Locating the Centromere on Human Chromosome Pictures. | Mehdi Moradi, Seyed Kamaledin Setarehdan, S. R. Ghaffari |