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ORCIDTanveer F. Syeda-Mahmood
Tanveer Fathima Syeda-Mahmood
Person information
- affiliation: IBM Almaden Research Center, San Jose, USA
- affiliation (former): Xerox Webster Research Center, New York, USA
- affiliation (PhD 1993): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2023
[i25]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 abs/2301.02916 (2023)- [i24]Yuan Zhou, Jing Mei, Yiqin Yu, Tanveer F. Syeda-Mahmood:
Medical visual question answering using joint self-supervised learning. CoRR abs/2302.13069 (2023) - 2022
- [c142]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 - [c141]Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood:
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. ISBI 2022: 1-5 - [c140]Niharika S. 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 in Tuberculosis. MICCAI (8) 2022: 287-297 - [c139]Tanveer F. Syeda-Mahmood, Luyao Shi:
Searching for Fine-Grained Queries in Radiology Reports Using Similarity-Preserving Contrastive Embedding. MLHC 2022: 785-799 - [c138]Luyao Shi, Tanveer F. Syeda-Mahmood, Tyler Baldwin:
Improving Neural Models for Radiology Report Retrieval with Lexicon-based Automated Annotation. NAACL-HLT 2022: 3457-3463 - [e11]John S. H. Baxter
, Islem Rekik, Roy Eagleson, Luping Zhou, Tanveer F. Syeda-Mahmood, Hongzhi Wang, Mustafa Hajij:
Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging - 1st International Workshop, EPIMI 2022, 12th International Workshop, ML-CDS 2022, 2nd International Workshop, TDA4BiomedicalImaging, Held in Conjunction with MICCAI 2022, Singapore, September 18-22, 2022, Proceedings. Lecture Notes in Computer Science 13755, Springer 2022, ISBN 978-3-031-23222-0 [contents] - [i23]Neha Srivathsa, Razi Mahmood, Tanveer F. Syeda-Mahmood:
Spatially-Preserving Flattening for Location-Aware Classification of Findings in Chest X-Rays. CoRR abs/2204.09676 (2022) - [i22]Niharika S. 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 in Tuberculosis. CoRR abs/2210.14377 (2022) - [i21]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
- [c137]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 - [c136]Hongzhi Wang, Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood:
Modeling Uncertainty in Multi-Modal Fusion for Lung Cancer Survival Analysis. ISBI 2021: 1169-1172 - [c135]Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do:
Multimodal Fusion Using Sparse Cca For Breast Cancer Survival Prediction. ISBI 2021: 1429-1432 - [c134]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: 699-708 - [e10]Tanveer F. Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 [contents] - [i20]Vaishnavi Subramanian, Tanveer F. Syeda-Mahmood, Minh N. Do:
Multimodal fusion using sparse CCA for breast cancer survival prediction. CoRR abs/2103.05432 (2021) - [i19]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 abs/2103.12245 (2021) - [i18]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 abs/2111.13987 (2021) - [i17]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 abs/2112.05254 (2021) - 2020
- [c133]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 - [c132]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 - [c131]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 - [c130]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: 178-186 - [c129]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 - [c128]Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood:
Multimodal Fusion of Imaging and Genomics for Lung Cancer Recurrence Prediction. ISBI 2020: 804-808 - [c127]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 - [c126]John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens:
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. ISBI 2020: 1183-1187 - [c125]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 - [c124]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 - [e9]Tanveer F. Syeda-Mahmood, Klaus Drechsler, Hayit Greenspan, Anant Madabhushi, Alexandros Karargyris, Marius George Linguraru, Cristina Oyarzun Laura, Raj Shekhar, Stefan Wesarg, Miguel Ángel González Ballester, Marius Erdt:
Multimodal Learning for Clinical Decision Support and Clinical Image-Based Procedures - 10th International Workshop, ML-CDS 2020, and 9th International Workshop, CLIP 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12445, Springer 2020, ISBN 978-3-030-60945-0 [contents] - [i16]Vaishnavi Subramanian, Minh N. Do, Tanveer F. Syeda-Mahmood:
Multimodal fusion of imaging and genomics for lung cancer recurrence prediction. CoRR abs/2002.01982 (2020) - [i15]John Paul Francis, Hongzhi Wang, Kate White, Tanveer F. Syeda-Mahmood, Raymond Stevens:
Neural Network Segmentation of Cell Ultrastructure Using Incomplete Annotation. CoRR abs/2004.09673 (2020) - [i14]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) - [i13]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) - [i12]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 abs/2009.06082 (2020) - [i11]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 abs/2011.09517 (2020)
2010 – 2019
- 2019
- [c123]Ahmed Harouni, Hongzhi Wang, Tanveer F. Syeda-Mahmood, David Beymer:
Deep Network Anatomy Segmentation with Limited Annotations using Auxiliary Labels. ISBI 2019: 6-10 - [c122]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 - [c121]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 - [c120]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: 109500P - [c119]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood:
Age prediction using a large chest x-ray dataset. Medical Imaging: Computer-Aided Diagnosis 2019: 109501U - [c118]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: 109503K - [c117]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: 522-530 - [c116]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: 109491A - [c115]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: 1094910 - [e8]Kenji Suzuki, Mauricio Reyes, Tanveer F. Syeda-Mahmood, Ben Glocker, Roland Wiest, Yaniv Gur, Hayit Greenspan, Anant Madabhushi:
Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Second International Workshop, iMIMIC 2019, and 9th International Workshop, ML-CDS 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings. Lecture Notes in Computer Science 11797, Springer 2019, ISBN 978-3-030-33849-7 [contents] - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]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 abs/1907.01656 (2019) - 2018
- [j15]Hongzhi Wang, Deepika Kakrania, Hui Tang, Prasanth Prasanna, Tanveer Fathima Syeda-Mahmood:
Fast anatomy segmentation by combining coarse scale multi-atlas label fusion with fine scale corrective learning. Comput. Medical Imaging Graph. 68: 16-24 (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) - [c114]Tyler Baldwin, Yufan Guo, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Generalized Extraction and Classification of Span-Level Clinical Phrases. AMIA 2018 - [c113]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 - [c112]Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Classification of radiology reports by modality and anatomy: A comparative study. BIBM 2018: 1457-1464 - [c111]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: 872-876 - [c110]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 - [c109]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 - [c108]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: 1340-1343 - [c107]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 - [c106]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: 105751T - [c105]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: 105751J - [c104]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 - [c103]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 - [c102]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 - [c101]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: 105741M - [c100]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: 1057407 - [e7]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] - [i5]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) - [i4]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) - [i3]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) - [i2]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) - [i1]Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Classification of radiology reports by modality and anatomy: A comparative study. CoRR abs/1812.10818 (2018) - 2017
- [c99]Yufan Guo, Deepika Kakrania, Tyler Baldwin, Tanveer F. Syeda-Mahmood:
Efficient Clinical Concept Extraction in Electronic Medical Records. AAAI 2017: 5089-5090 - [c98]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: 223-226 - [c97]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 - [c96]Ehsan Dehghan, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Automatic detection of aortic dissection in contrast-enhanced CT. ISBI 2017: 557-560 - [c95]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 - [c94]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: 101340N - [c93]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 - [c92]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 - [c91]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 - [e6]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]Sailesh Conjeti, Amin Katouzian, Anees Kazi, Sepideh Mesbah, David Beymer, Tanveer F. Syeda-Mahmood, Nassir Navab:
Metric hashing forests. Medical Image Anal. 34: 13-29 (2016) - [c90]Tyler Baldwin, Yufan Guo, Tanveer F. Syeda-Mahmood:
Automatic Generation of Conditional Diagnostic Guidelines. AMIA 2016 - [c89]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 - [c88]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: 97850A - [c87]Mehdi Moradi, Tanveer F. Syeda-Mahmood, Soheil Hor:
Tree-Based Transforms for Privileged Learning. MLMI@MICCAI 2016: 188-195 - [c86]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 - [c85]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 - [c84]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: 97910H - 2015
- [j12]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) - [c83]Mehdi Moradi, Noel C. F. Codella, Tanveer F. Syeda-Mahmood:
Viewpoint Recognition in Cardiac CT Images. FIMH 2015: 180-188 - [c82]Hongzhi Wang, Yu Cao, Tanveer Fathima Syeda-Mahmood:
Finding a Path for Segmentation Through Sequential Learning. IPMI 2015: 488-500 - [c81]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: 376-379 - [c80]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 - [c79]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: 1106-1109 - [c78]Razi Mahmood, Tanveer F. Syeda-Mahmood:
Automatic detection of left ventricular aneurysms in echocardiograms. ISBI 2015: 1308-1311 - [c77]Tanveer F. Syeda-Mahmood, Ritwik Kumar, Colin B. Compas:
Learning the Correlation Between Images and Disease Labels Using Ambiguous Learning. MICCAI (2) 2015: 185-193 - 2014
- [c76]Razi Mahmood, Tanveer F. Syeda-Mahmood:
Automatic Detection of Dilated Cardiomyopathy in Cardiac Ultrasound Videos. AMIA 2014 - [c75]Yu Cao, Colin B. Compas, Hongzhi Wang, Tanveer F. Syeda-Mahmood:
Anatomical Structure Labeling in Apical Four-Chamber View Echocardiogram Images. CinC 2014: 317-320 - [c74]Yu Cao, Patrick McNeillie, Tanveer F. Syeda-Mahmood:
Segmentation of Anatomical Structures in Four-Chamber View Echocardiogram Images. ICPR 2014: 568-573 - [c73]Tanveer Fathima Syeda-Mahmood, Quan Wang, Patrick McNeillie, David Beymer, Colin B. Compas:
Discriminating normal and abnormal left ventricular shapes in four-chamber view 2D echocardiography. ISBI 2014: 401-404 - [c72]Colin B. Compas, Tanveer F. Syeda-Mahmood, Patrick McNeillie, David Beymer:
Automatic detection of coronary stenosis in X-ray angiography through spatio-temporal tracking. ISBI 2014: 1299-1302 - [c71]Hongzhi Wang, Yu Cao, Tanveer F. Syeda-Mahmood:
Multi-atlas Segmentation with Learning-Based Label Fusion. MLMI 2014: 256-263 - 2013
- [j11]Taoyi Chen, Yong Zhang, Changhong Wang, Zhenshen Qu, Fei Wang, Tanveer Fathima Syeda-Mahmood:
Complex local phase based subjective surfaces (CLAPSS) and its application to DIC red blood cell image segmentation. Neurocomputing 99: 98-110 (2013) - [c70]Ritwik Kumar, Tanveer Fathima Syeda-Mahmood, David Beymer, Colin B. Compas, Karen Brannon:
Mining Echocardiography Workflows for Disease Discriminative Patterns. AMIA 2013 - [c69]Tanveer Fathima Syeda-Mahmood, Colin B. Compas, David Beymer, Ritwik Kumar:
Similarity Retrieval of Angiogram Images BASED on a Flexible Shape Model. FIMH 2013: 97-105 - [c68]