Tanveer F. Syeda-Mahmood
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
7
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | MICCAI | Phrase-Grounded Fact-Checking for Automatically Generated Chest X-Ray Reports. | Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood |
| 2023 | IGARSS | Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity. | Ken C. L. Wong, Levente J. Klein, Ademir Ferreira da Silva, Hongzhi Wang, Jitendra Singh, Tanveer F. Syeda-Mahmood |
| 2023 | MICCAI | Feature Selection for Malapposition Detection in Intravascular Ultrasound - A Comparative Study. | Satyananda Kashyap, Neerav Karani, Alexander Shang, Niharika Shimona D'Souza, Neel Dey, Lay Jain, Ray Wang, Hatice Akakin, Qian Li, Wenguang Li, Corydon Carlson, Polina Golland, Tanveer F. Syeda-Mahmood |
| 2023 | MICCAI | HartleyMHA: Self-attention in Frequency Domain for Resolution-Robust and Parameter-Efficient 3D Image Segmentation. | Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood |
| 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 | Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. | Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodrguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood |
| 2022 | NAACL | Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation. | Luyao Shi, Tanveer F. Syeda-Mahmood, Tyler Baldwin |
| 2021 | AMIA | Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization. | Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood |
| 2021 | MICCAI | Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. | Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi |
| 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 | Extracting and Learning Fine-grained Labels from Chest Radiographs. | Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko |
| 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 | 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 | Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. | Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood |
| 2018 | AMIA | Generalized Extraction and Classification of Span-Level Clinical Phrases. | Tyler Baldwin, Yufan Guo, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood |
| 2018 | AMIA | Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records. | Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood |
| 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 | AAAI | Efficient Clinical Concept Extraction in Electronic Medical Records. | Yufan Guo, Deepika Kakrania, Tyler Baldwin, 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 | AMIA | Automatic Generation of Conditional Diagnostic Guidelines. | Tyler Baldwin, Yufan Guo, Tanveer F. Syeda-Mahmood |
| 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 | Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning. | Tanveer F. Syeda-Mahmood, Ritwik Kumar, Colin B. Compas |
| 2014 | AMIA | Automatic Detection of Dilated Cardiomyopathy in Cardiac Ultrasound Videos. | Razi Mahmood, Tanveer F. Syeda-Mahmood |
| 2014 | ICPR | Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images. | Yu Cao, Patrick McNeillie, Tanveer F. Syeda-Mahmood |
| 2014 | MICCAI | Multi-atlas Segmentation with Learning-Based Label Fusion. | Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood |
| 2010 | CVPR | Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features. | Ritwik Kumar, Fei Wang, David Beymer, Tanveer F. Syeda-Mahmood |
| 2009 | CVPR | Automatic estimation of left ventricular dysfunction from echocardiogram videos. | David Beymer, Tanveer F. Syeda-Mahmood, Arnon Amir, Fei Wang, Scott Adelman |
| 2008 | CVPR | Exploiting spatio-temporal information for view recognition in cardiac echo videos. | David Beymer, Tanveer F. Syeda-Mahmood, Fei Wang |