Tanveer F. Syeda-Mahmood

ORCID

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 93

Top Venues

ISBI

CoRR

AMIA

Medical Imaging: Computer-Aided Diagnosis

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
Modelling-based joint embedding of histology and genomics using canonical correlation analysis for breast cancer survival prediction. Artif. Intell. Medicine 149 (2024)
Evangelia Katsoulakis, Qi Wang, Huanmei Wu, Leili Shahriyari, Richard Fletcher, Jinwei Liu, Luke Achenie, Hongfang Liu, Pamela R. Jackson, Ying Xiao, Tanveer F. Syeda-Mahmood, Richard Tuli, Jun Deng
Digital twins for health: a scoping review. npj Digit. Medicine 7 (1) (2024)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond. Medical Image Anal. 93 (2024)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard D. Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping enhances discoverability of genes related to left-ventricular morphology. Nat. Mac. Intell. 6 (3) (2024)
Rodrigo Bonazzola, Enzo Ferrante, Nishant Ravikumar, Yan Xia, Bernard Keavney, Sven Plein, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Unsupervised ensemble-based phenotyping helps enhance the discoverability of genes related to heart morphology. CoRR (2023)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. CoRR (2023)
Ken C. L. Wong, Hongzhi Wang, Tanveer F. Syeda-Mahmood
FNOSeg3D: Resolution-Robust 3D Image Segmentation with Fourier Neural Operator. ISBI (2023)
Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer F. Syeda-Mahmood
Medical visual question answering using joint self-supervised learning. CoRR (2023)
Niharika Shimona D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodríguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
MaxCorrMGNN: A Multi-graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction. ML4MHD (2023)
Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. CoRR (2022)
Tanveer F. Syeda-Mahmood, Luyao Shi
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding. MLHC (2022)
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. MICCAI (8) (2022)
Niharika S. D'Souza, Hongzhi Wang, Andrea Giovannini, Antonio Foncubierta-Rodriguez, Kristen L. Beck, Orest B. Boyko, Tanveer F. Syeda-Mahmood
Fusing Modalities by Multiplexed Graph Neural Networks for Outcome Prediction in Tuberculosis. CoRR (2022)
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)
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 (2022)
Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. ISBI (2022)
Luyao Shi, Tanveer F. Syeda-Mahmood, Tyler Baldwin
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation. NAACL-HLT (2022)
Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
Multiview and multiclass image segmentation using deep learning in fetal echocardiography. Medical Imaging: Computer-Aided Diagnosis (2021)
Rodrigo Bonazzola, Nishant Ravikumar, Rahman Attar, Enzo Ferrante, Tanveer F. Syeda-Mahmood, Alejandro F. Frangi
Image-Derived Phenotype Extraction for Genetic Discovery via Unsupervised Deep Learning in CMR Images. MICCAI (5) (2021)
Ken C. L. Wong, Elena S. Sinkovskaya, Alfred Z. Abuhamad, Tanveer F. Syeda-Mahmood
Multiview and Multiclass Image Segmentation using Deep Learning in Fetal Echocardiography. CoRR (2021)
Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
Multi-modality fusion using canonical correlation analysis methods: Application in breast cancer survival prediction from histology and genomics. CoRR (2021)
Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
Multimodal fusion using sparse CCA for breast cancer survival prediction. CoRR (2021)
Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood
Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. ISBI (2021)
Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do
Multimodal Fusion Using Sparse Cca For Breast Cancer Survival Prediction. ISBI (2021)
Ken C. L. Wong, Hongzhi Wang, Etienne E. Vos, Bianca Zadrozny, Campbell D. Watson, Tanveer F. Syeda-Mahmood
Addressing Deep Learning Model Uncertainty in Long-Range Climate Forecasting with Late Fusion. CoRR (2021)
Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization. AMIA (2021)
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)
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 (2020)
Mehdi Moradi, Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
Quality controlled segmentation to aid disease detection. Medical Imaging: Computer-Aided Diagnosis (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
Extracting and Learning Fine-grained Labels from Chest Radiographs. AMIA (2020)
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 (2020)
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)
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)
Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood
Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction. ISBI (2020)
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)
John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. ISBI (2020)
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)
John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. CoRR (2020)
Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Ashutosh Jadhav, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. CoRR (2020)
Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
Receptivity of an AI Cognitive Assistant by the Radiology Community: A Report on Data Collected at RSNA. HEALTHINF (2020)
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
Extracting and Learning Fine-Grained Labels from Chest Radiographs. CoRR (2020)
Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood
Multimodal fusion of imaging and genomics for lung cancer recurrence prediction. CoRR (2020)
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)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) (2019)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR (2019)
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 (2019)
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)
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
Artificial intelligence for point of care radiograph quality assessment. Medical Imaging: Computer-Aided Diagnosis (2019)
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
Identifying disease-free chest x-ray images with deep transfer learning. Medical Imaging: Computer-Aided Diagnosis (2019)
Chinyere Agunwa, Mehdi Moradi, Ken C. L. Wong, Tanveer F. Syeda-Mahmood
Body part and imaging modality classification for a general radiology cognitive assistant. Medical Imaging: Image Processing (2019)
Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI (2019)
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 (2019)
Tanveer F. Syeda-Mahmood, Hui Tang
Automatic identification of coronary arteries and viewpoints in 2D x-ray angiography using deep learning (Conference Presentation). Medical Imaging: Image Processing (2019)
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 (2019)
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 (2019)
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)
Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
Classification of radiology reports by modality and anatomy: A comparative study. BIBM (2018)
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)
Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood
Automated volumetric lung segmentation of thoracic CT images using fully convolutional neural network. Medical Imaging: Computer-Aided Diagnosis (2018)
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 (2018)
Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
Classification of radiology reports by modality and anatomy: A comparative study. CoRR (2018)
Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood
Bimodal network architectures for automatic generation of image annotation from text. CoRR (2018)
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)
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. Medical Imaging: Image Processing (2018)
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)
Ali Madani, Mehdi Moradi, Alexandros Karargyris, Tanveer F. Syeda-Mahmood
Chest x-ray generation and data augmentation for cardiovascular abnormality classification. Medical Imaging: Image Processing (2018)
Ahmed Harouni, Alexandros Karargyris, Mohammadreza Negahdar, David Beymer, Tanveer F. Syeda-Mahmood
Universal multi-modal deep network for classification and segmentation of medical images. ISBI (2018)
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)
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)
Ken C. L. Wong, Alexandros Karargyris, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building Disease Detection Algorithms with Very Small Numbers of Positive Samples. CoRR (2018)
Alex Karargyros, Tanveer F. Syeda-Mahmood
Saliency U-Net: A regional saliency map-driven hybrid deep learning network for anomaly segmentation. Medical Imaging: Computer-Aided Diagnosis (2018)
Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records. AMIA (2018)
Tyler Baldwin, Yufan Guo, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
Generalized Extraction and Classification of Span-Level Clinical Phrases. AMIA (2018)
Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
Rapid annotation of 3D medical imaging datasets using registration-based interpolation and adaptive slice selection. ISBI (2018)
Ken C. L. Wong, Tanveer F. Syeda-Mahmood, Mehdi Moradi
Building medical image classifiers with very limited data using segmentation networks. CoRR (2018)
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)
Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood
Efficient Clinical Concept Extraction in Electronic Medical Records. AAAI (2017)
Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood
Automatic detection of aortic dissection in contrast-enhanced CT. ISBI (2017)
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)
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)
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)
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)
Hongzhi Wang, Prasanth Prasanna, Tanveer F. Syeda-Mahmood
Fast anatomy segmentation by combining low resolution multi-atlas label fusion with high resolution corrective learning: An experimental study. ISBI (2017)
Mohammadreza Negahdar, Mehdi Moradi, Nripesh Parajuli, Tanveer F. Syeda-Mahmood
Automatic extraction of disease-specific features from Doppler images. Medical Imaging: Computer-Aided Diagnosis (2017)
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)
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)
Tyler Baldwin, Yufan Guo, Tanveer F. Syeda-Mahmood
Automatic Generation of Conditional Diagnostic Guidelines. AMIA (2016)
Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab
Metric hashing forests. Medical Image Anal. 34 (2016)
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)
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, Rami Ben-Ari, Guy Amit, Prasanth Prasanna, J. Morey, Orest B. Boyko, Sharbell Y. Hashoul
Medical sieve: a cognitive assistant for radiologists and cardiologists. Medical Imaging: Computer-Aided Diagnosis (2016)
Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor
Tree-Based Transforms for Privileged Learning. MLMI@MICCAI (2016)
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)
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. Medical Imaging: Digital Pathology (2016)
Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood
An experimental study on combining the auto-context model with corrective learning for canine LEG muscle segmentation. ISBI (2015)
Long Xie, Suman Sedai, Xi Liang, Colin B. Compas, Hongzhi Wang, Paul A. Yushkevich, Tanveer F. Syeda-Mahmood
Multi-atlas label fusion with augmented atlases for fast and accurate segmentation of cardiac MR images. ISBI (2015)
Mani Abedini, Noel C. F. Codella, Jonathan H. Connell, Rahil Garnavi, Michele Merler, Sharath Pankanti, John R. Smith, Tanveer F. Syeda-Mahmood
A generalized framework for medical image classification and recognition. IBM J. Res. Dev. 59 (2/3) (2015)
Raziuddin Mahmood, Tanveer F. Syeda-Mahmood
Automatic detection of left ventricular aneurysms in echocardiograms. ISBI (2015)
Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood
Viewpoint Recognition in Cardiac CT Images. FIMH (2015)
Tanveer F. Syeda-Mahmood, Ritwik Kumar, Colin B. Compas
Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning. MICCAI (2) (2015)
Yu Cao, Patrick McNeillie, Tanveer F. Syeda-Mahmood
Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images. ICPR (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tanveer F. Syeda-Mahmood