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ORCIDTanveer F. Syeda-Mahmood
Tanveer Fathima Syeda-Mahmood
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- affiliation: IBM Almaden Research Center, San Jose, USA
- affiliation (former): Xerox Webster Research Center, New York, USA
- affiliation (former): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2020
[c130]Karina Kanjaria, Anup Pillai, Chaitanya Shivade, Marina Bendersky, Vandana 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 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 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 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, F. 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]Raziuddin 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]Raziuddin 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]Ritwik Kumar, Ting Chen, Moritz Hardt, David Beymer, Karen Brannon, Tanveer Fathima Syeda-Mahmood:
Multiple Kernel Completion and its application to cardiac disease discrimination. ISBI 2013: 764-767 - [c67]Ting Chen, Ritwik Kumar, Guillaume Axel Troianowski, Tanveer Fathima Syeda-Mahmood, David Beymer, Karen Brannon:
PSAR: Predictive space aggregated regression and its application in valvular heart disease classification. ISBI 2013: 1122-1125 - [e5]Hayit Greenspan, Henning Müller, Tanveer Fathima Syeda-Mahmood:
Medical Content-Based Retrieval for Clinical Decision Support - Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7723, Springer 2013, ISBN 978-3-642-36677-2 [contents] - 2012
- [c66]David Beymer, Tanveer Fathima Syeda-Mahmood, Fei Wang, Ritwik Kumar, Yong Zhang, Robert J. Lundstrom, Taylor Holve, Navid Shafaee, Edward McNulty:
AngioViewer: A Tool for Assessing the State of Coronary Artery Disease. AMIA 2012 - [c65]Tanveer Fathima Syeda-Mahmood, David Beymer, Fei Wang, Ritwik Kumar, Yong Zhang:
Multimodal Informatics Platform for Clinical Decision Support¬. AMIA 2012 - [c64]Tanveer Fathima Syeda-Mahmood, Fei Wang, Ritwik Kumar, David Beymer, Yong Zhang, Robert J. Lundstrom, Edward McNulty:
Finding Similar 2D X-Ray Coronary Angiograms. MICCAI (3) 2012: 501-508 - [e4]Henning Müller, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood:
Medical Content-Based Retrieval for Clinical Decision Support - Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7075, Springer 2012, ISBN 978-3-642-28459-5 [contents] - 2011
- [j10]Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu:
Information technology for healthcare transformation. IBM J. Res. Dev. 55(5): 6 (2011) - [c63]Fei Wang, Yong Zhang, David Beymer, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood:
Pyramid Histograms of Motion Context with Application to Angiogram Video Classification. FIMH 2011: 384-391 - [c62]Taoyi Chen, Yong Zhang, Changhong Wang, Zhenshen Qu, Maomao Cai, Fei Wang, Tanveer Fathima Syeda-Mahmood:
Local complex phase based level set and its application to DIC red blood cell segmentation. ISBI 2011: 187-190 - [c61]Fei Wang, Yong Zhang, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, David Beymer:
Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels. ISBI 2011: 1091-1096 - [c60]Adrien Depeursinge, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, Henning Müller:
Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. MCBR-CDS 2011: 1-11 - 2010
- [c59]Ritwik Kumar, Fei Wang, David Beymer, Tanveer F. Syeda-Mahmood:
Cardiac disease detection from echocardiogram using edge filtered scale-invariant motion features. CVPR Workshops 2010: 162-169 - [c58]Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl:
Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR 2010: 855-862 - [c57]Tanveer Fathima Syeda-Mahmood, David Beymer, Fei Wang, A. Mahmood, Robert J. Lundstrom, N. Shafee, T. Holve:
Automatic Selection of Keyframes from Angiogram Videos. ICPR 2010: 4008-4011 - [c56]Fei Wang, Vuk Ercegovac, Tanveer Fathima Syeda-Mahmood, Akintayo Holder, Eugene J. Shekita, David Beymer, Lin Hao Xu:
Large-scale multimodal mining for healthcare with mapreduce. IHI 2010: 479-483 - [c55]Arnon Amir, David Beymer, Julia Grace, Hayit Greenspan, Daniel Gruhl, Allen Hobbs, Kilian M. Pohl, Tanveer F. Syeda-Mahmood, Joseph Terdiman, Fei Wang:
AALIM: A Cardiac Clinical Decision Support System Powered By Advanced Multi-modal Analytics. MedInfo 2010: 846-850 - [c54]Tanveer Fathima Syeda-Mahmood, Fei Wang, David Beymer:
Recognition of object categories using affine kernels. Multimedia Information Retrieval 2010: 15-24 - [e3]Barbara Caputo, Henning Müller, Tanveer Fathima Syeda-Mahmood, James S. Duncan, Fei Wang, Jayashree Kalpathy-Cramer:
Medical Content-Based Retrieval for Clinical Decision Support, First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009, Revised Selected Papers. Lecture Notes in Computer Science 5853, Springer 2010, ISBN 978-3-642-11768-8 [contents]
2000 – 2009
- 2009
- [j9]Kim Boyer, Mubarak Shah, Tanveer Fathima Syeda-Mahmood:
Guest Editors' Introduction to the Special Section on Award Winning Papers from the IEEE CS Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Trans. Pattern Anal. Mach. Intell. 31(12): 2113-2114 (2009) - [c53]David Beymer, Tanveer F. Syeda-Mahmood, Arnon Amir, Fei Wang, S. Adelman:
Automatic estimation of left ventricular dysfunction from echocardiogram videos. CVPR Workshops 2009: 164-171 - [c52]Ritwik Kumar, Fei Wang, David Beymer, Tanveer Fathima Syeda-Mahmood:
Echocardiogram view classification using edge filtered scale-invariant motion features. CVPR 2009: 723-730 - [c51]Fei Wang, Tanveer Fathima Syeda-Mahmood, David Beymer:
Information Extraction from Multimodal ECG Documents. ICDAR 2009: 381-385 - [c50]Tanveer Fathima Syeda-Mahmood, David Beymer, Arnon Amir:
Disease-Specific Extraction of Text from Cardiac Echo Videos for Decision Support. ICDAR 2009: 1290-1294 - [c49]Ritwik Kumar, Baba C. Vemuri, Fei Wang, Tanveer Fathima Syeda-Mahmood, Paul R. Carney, Thomas H. Mareci:
Multi-fiber Reconstruction from DW-MRI Using a Continuous Mixture of Hyperspherical von Mises-Fisher Distributions. IPMI 2009: 139-150 - [c48]Fei Wang, Baba C. Vemuri, Tanveer Fathima Syeda-Mahmood:
Generalized L2-Divergence and Its Application to Shape Alignment. IPMI 2009: 227-238 - [c47]Henning Müller, Jayashree Kalpathy-Cramer, Barbara Caputo, Tanveer Fathima Syeda-Mahmood, Fei Wang:
Overview of the First Workshop on Medical Content-Based Retrieval for Clinical Decision Support at MICCAI 2009. MCBR-CDS 2009: 1-17 - [c46]