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ORCIDSameer K. Antani
Person information
- affiliation: Lister Hill National Center for Biomedical Communications (LHNCBC), Bethesda, USA
- affiliation: National Library of Medicine, National Institutes of Health, Bethesda, USA
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2020 – today
- 2024
[j78]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani
:
Semantically redundant training data removal and deep model classification performance: A study with chest X-rays. Comput. Medical Imaging Graph. 115: 102379 (2024)- [j77]Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob D. Furst, Daniela Raicu, Michiel Schinkel, Hari Trivedi, Sameer K. Antani:
Biomedical heterogeneous data categorization and schema mapping toward data integration. Frontiers Big Data 6 (2024) - [c179]Harshit Parmar, Brian Nutter, Sunanda Mitra, L. Rodney Long, Sameer K. Antani:
Spatio-Functional Parcellation of Resting State fMRI. SSIAI 2024: 1-4 - [c178]Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Covid-19 Pneumonia Chest X-Ray Pattern Synthesis by Stable Diffusion. SSIAI 2024: 21-24 - 2023
- [j76]Feng Yang, Ghada Zamzmi, Sandeep Angara, Sivaramakrishnan Rajaraman, André Aquilina, Zhiyun Xue, Stefan Jäger, Emmanouil Papagiannakis, Sameer K. Antani:
Assessing Inter-Annotator Agreement for Medical Image Segmentation. IEEE Access 11: 21300-21312 (2023) - [j75]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Can deep adult lung segmentation models generalize to the pediatric population? Expert Syst. Appl. 229(Part A): 120531 (2023) - [j74]KC Santosh, Sameer K. Antani:
Guest Editorial Multimodal Learning in Medical Imaging Informatics. IEEE J. Biomed. Health Informatics 27(3): 1214-1215 (2023) - [c177]Zhaohui Liang, Zhiyun Xue, Yang Feng, Sivaramakrishnan Rajaraman, Jimmy Xiangji Huang, Sameer K. Antani:
Emergency Department Wait Time Forecast based on Semantic and Time Series Patterns in COVID-19 Pandemic. BIBM 2023: 3067-3072 - [c176]Evanjelin Mahmoodi, Zhiyun Xue, Sivaramakrishnan Rajaraman, Sameer K. Antani:
A Study on Reducing Big Data Image Annotation Burden Through Iterative Expert-In-The-Loop Strategy. BIBM 2023: 3097-3102 - [c175]Tochi Oguguo, Ghada Zamzmi, Sivaramakrishnan Rajaraman, Feng Yang, Zhiyun Xue, Sameer K. Antani:
A Comparative Study of Fairness in Medical Machine Learning. ISBI 2023: 1-5 - [c174]Zhaohui Liang, Zhiyun Xue, Sivaramakrishnan Rajaraman, Feng Yang, Sameer K. Antani:
Automatic Quantification of COVID-19 Pulmonary Edema by Self-supervised Contrastive Learning. MILLanD@MICCAI 2023: 128-137 - [e4]Zhiyun Xue, Sameer K. Antani, Ghada Zamzmi, Feng Yang, Sivaramakrishnan Rajaraman, Sharon Xiaolei Huang, Marius George Linguraru, Zhaohui Liang:
Medical Image Learning with Limited and Noisy Data - Second International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14307, Springer 2023, ISBN 978-3-031-47196-4 [contents] - [i22]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation? CoRR abs/2301.04032 (2023) - [i21]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays. CoRR abs/2309.09773 (2023) - [i20]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhaohui Liang, Zhiyun Xue, Sameer K. Antani:
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images. CoRR abs/2309.11318 (2023) - 2022
- [j73]Feng Yang, Pu Xuan Lu, Min Deng, Yi-Xiang J. Wang, Sivaramakrishnan Rajaraman, Zhiyun Xue, Les R. Folio, Sameer K. Antani, Stefan Jäger:
Annotations of Lung Abnormalities in the Shenzhen Chest X-ray Dataset for Computer-Aided Screening of Pulmonary Diseases. Data 7(7): 95 (2022) - [j72]KC Santosh, Siva Allu, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The Last 5 Years Review. J. Medical Syst. 46(11): 82 (2022) - [j71]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Li-Yueh Hsu, Vandana Sachdev, Sameer K. Antani:
Real-time echocardiography image analysis and quantification of cardiac indices. Medical Image Anal. 80: 102438 (2022) - [j70]Zhaohui Liang, Jimmy Xiangji Huang, Sameer K. Antani:
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN. Sensors 22(24): 9628 (2022) - [c173]Anabik Pal, Sounak Ray, Sameer K. Antani, Utpal Garain:
Attention Residual Capsule Network for Dermoscopy Image Classification. CVIP (2) 2022: 108-121 - [c172]Zhiyun Xue, Kelly Yu, Paul C. Pearlman, Anabik Pal, Tseng-Cheng Chen, Chun-Hung Hua, Chung Jan Kang, Chih-Yen Chien, Ming-Hsui Tsai, Cheng-Ping Wang, Anil K. Chaturvedi, Sameer K. Antani:
Automatic Detection of Oral Lesion Measurement Ruler Toward Computer-Aided Image-Based Oral Cancer Screening. EMBC 2022: 3218-3221 - [c171]Zhiyun Xue, Kelly Yu, Paul C. Pearlman, Tseng-Cheng Chen, Chun-Hung Hua, Chung Jan Kang, Chih-Yen Chien, Ming-Hsui Tsai, Cheng-Ping Wang, Anil K. Chaturvedi, Sameer K. Antani:
Extraction of Ruler Markings For Estimating Physical Size of Oral Lesions. ICPR 2022: 4241-4247 - [c170]Ghada Zamzmi, Tochi Oguguo, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Open-world active learning for echocardiography view classification. Medical Imaging: Computer-Aided Diagnosis 2022 - [c169]Zhiyun Xue, Sandeep Angara, Peng Guo, Sivaramakrishnan Rajaraman, Jose Jeronimo, Ana Cecilia Rodriguez, Karla Alfaro, Kittipat Charoenkwan, Chemtai Mungo, Joel Fokom Domgue, Nicolas Wentzensen, Kanan T. Desai, Olusegun Kayode Ajenifuja, Elisabeth Wikstrom, Brian Befano, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani:
Image Quality Classification for Automated Visual Evaluation of Cervical Precancer. MILLanD@MICCAI 2022: 206-217 - [c168]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani:
Data Characterization for Reliable AI in Medicine. RTIP2R 2022: 3-11 - [e3]Ghada Zamzmi, Sameer K. Antani, Ulas Bagci, Marius George Linguraru, Sivaramakrishnan Rajaraman, Zhiyun Xue:
Medical Image Learning with Limited and Noisy Data - First International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13559, Springer 2022, ISBN 978-3-031-16759-1 [contents] - [i19]Anabik Pal, Zhiyun Xue, Sameer K. Antani:
Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets. CoRR abs/2201.07013 (2022) - [i18]Harshit S. Parmar, Brian Nutter, L. Rodney Long, Sameer K. Antani, Sunanda Mitra:
Functional Parcellation of fMRI data using multistage k-means clustering. CoRR abs/2202.11206 (2022) - [i17]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Peng Guo, Zhiyun Xue, Sameer K. Antani:
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs. CoRR abs/2206.06065 (2022) - [i16]Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, Zhiyun Xue, Sameer K. Antani:
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study. CoRR abs/2211.02475 (2022) - 2021
- [j69]Anabik Pal, Zhiyun Xue, Brian Befano, Ana Cecilia Rodriguez, L. Rodney Long, Mark Schiffman, Sameer K. Antani:
Deep Metric Learning for Cervical Image Classification. IEEE Access 9: 53266-53275 (2021) - [j68]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Vandana Sachdev, Sameer K. Antani:
Trilateral Attention Network for Real-Time Cardiac Region Segmentation. IEEE Access 9: 118205-118214 (2021) - [j67]Anabik Pal, Zhiyun Xue, Kanan T. Desai, Adekunbiola Aina F. Banjo, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani:
Deep multiple-instance learning for abnormal cell detection in cervical histopathology images. Comput. Biol. Medicine 138: 104890 (2021) - [j66]Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
Selective synthetic augmentation with HistoGAN for improved histopathology image classification. Medical Image Anal. 67: 101816 (2021) - [j65]Yasmin M. Kassim, Kannappan Palaniappan, Feng Yang, Mahdieh Poostchi, Nila Palaniappan, Richard James Maude, Sameer K. Antani, Stefan Jäger:
Clustering-Based Dual Deep Learning Architecture for Detecting Red Blood Cells in Malaria Diagnostic Smears. IEEE J. Biomed. Health Informatics 25(5): 1735-1746 (2021) - [c167]Sandeep Angara, Peng Guo, Zhiyun Xue, Sameer K. Antani:
Semi-Supervised Learning for Cervical Precancer Detection. CBMS 2021: 202-206 - [c166]Zhiyun Xue, Peng Guo, Kanan T. Desai, Anabik Pal, Kayode O. Ajenifuja, Clement Akinfolarin Adepiti, L. Rodney Long, Mark Schiffman, Sameer K. Antani:
A Deep Clustering Method For Analyzing Uterine Cervix Images Across Imaging Devices. CBMS 2021: 527-532 - [c165]Sameer K. Antani, Luis Kun, Carole Carey, Thenusha Satsoruban, Nahum Gershon, Mohamad Sawan:
Life science and its implications for society - (in addition to COVID-19). ISTAS 2021: 1 - [c164]Zhiyun Xue, Peng Guo, Sandeep Angara, Anabik Pal, Jose Jeronimo, Kanan T. Desai, Olusegun Kayode Ajenifuja, Clement Akinfolarin Adepiti, Silvia De Sanjosé, Mark Schiffman, Sameer K. Antani:
Cleaning Highly Unbalanced Multisource Image Dataset for Quality Control in Cervical Precancer Screening. RTIP2R 2021: 3-13 - [c163]Sandeep Angara, Peng Guo, Zhiyun Xue, Sameer K. Antani:
An Empirical Study of Vision Transformers for Cervical Precancer Detection. RTIP2R 2021: 26-32 - [c162]Peng Guo, Zhiyun Xue, Jose Jeronimo, Julia C. Gage, Kanan T. Desai, Brian Befano, Francisco García, Mark Schiffman, Sameer K. Antani:
Image Augmentation for Improving Automated Eligibility-Classification for Cervical Precancer Ablation Treatment. RTIP2R 2021: 76-84 - [d1]Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Malaria Thick Blood Smears. IEEE DataPort, 2021
- [i15]Sivaramakrishnan Rajaraman, Les R. Folio, Jane Dimperio, Philip O. Alderson, Sameer K. Antani:
Training custom modality-specific U-Net models with weak localizations for improved Tuberculosis segmentation and localization. CoRR abs/2102.10607 (2021) - [i14]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les R. Folio, Philip O. Alderson, Sameer K. Antani:
Improved TB classification using bone-suppressed chest radiographs. CoRR abs/2104.04518 (2021) - [i13]Ghada Zamzmi, Vandana Sachdev, Sameer K. Antani:
Trilateral Attention Network for Real-time Medical Image Segmentation. CoRR abs/2106.09201 (2021) - [i12]Sivaramakrishnan Rajaraman, Ghada Zamzmi, Sameer K. Antani:
Multi-loss ensemble deep learning for chest X-ray classification. CoRR abs/2109.14433 (2021) - [i11]Sivaramakrishnan Rajaraman, Prasanth Ganesan, Sameer K. Antani:
Does deep learning model calibration improve performance in class-imbalanced medical image classification? CoRR abs/2110.00918 (2021) - [i10]Sivaramakrishnan Rajaraman, Gregg Cohen, Les R. Folio, Sameer K. Antani:
A bone suppression model ensemble to improve COVID-19 detection in chest X-rays. CoRR abs/2111.03404 (2021) - [i9]Yuan Xue, Jiarong Ye, Qianying Zhou, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Carl Cornwell, Richard Zaino, Keith C. Cheng, Xiaolei Huang:
Selective Synthetic Augmentation with HistoGAN for Improved Histopathology Image Classification. CoRR abs/2111.06399 (2021) - 2020
- [j64]Sivaramakrishnan Rajaraman, Sameer K. Antani:
Modality-Specific Deep Learning Model Ensembles Toward Improving TB Detection in Chest Radiographs. IEEE Access 8: 27318-27326 (2020) - [j63]Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani:
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-Rays. IEEE Access 8: 115041-115050 (2020) - [j62]Jie Zou, George R. Thoma, Sameer K. Antani:
Unified deep neural network for segmentation and labeling of multipanel biomedical figures. J. Assoc. Inf. Sci. Technol. 71(11): 1327-1340 (2020) - [j61]KC Santosh, Sameer K. Antani:
Recent trends in image processing and pattern recognition. Multim. Tools Appl. 79(47): 34697-34699 (2020) - [j60]Feng Yang, Mahdieh Poostchi, Hang Yu, Zhou Zhou, Kamolrat Silamut, Jian Yu, Richard James Maude, Stefan Jäger, Sameer K. Antani:
Deep Learning for Smartphone-Based Malaria Parasite Detection in Thick Blood Smears. IEEE J. Biomed. Health Informatics 24(5): 1427-1438 (2020) - [c161]Dharitri Misra, Michael Gill, Janice S. Lee, Sameer K. Antani:
Segmentation of Anterior Tissues in Craniofacial Cone-Beam CT Images. CBMS 2020: 71-76 - [c160]Priya Deshpande, Alexander Rasin, Roselyne Tchoua, Jacob Furst, Daniela Raicu, Sameer K. Antani:
Enhancing Recall Using Data Cleaning for Biomedical Big Data. CBMS 2020: 265-270 - [c159]Incheol Kim, Dharitri Misra, Laritza Rodriguez, Michael Gill, Denise K. Liberton, Konstantinia Almpani, Janice S. Lee, Sameer K. Antani:
Malocclusion Classification on 3D Cone-Beam CT Craniofacial Images Using Multi-Channel Deep Learning Models*. EMBC 2020: 1294-1298 - [c158]Harshit S. Parmar, Brian Nutter, L. Rodney Long, Sameer K. Antani, Sunanda Mitra:
Deep learning of volumetric 3D CNN for fMRI in Alzheimer's disease classification. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113170C - [c157]Feng Yang, Nicolas Quizon, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Cascading YOLO: automated malaria parasite detection for Plasmodium vivax in thin blood smears. Medical Imaging: Computer-Aided Diagnosis 2020 - [c156]Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani:
Fully automated spectral envelope and peak velocity detection from Doppler echocardiography images. Medical Imaging: Computer-Aided Diagnosis 2020 - [c155]Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang:
Synthetic Sample Selection via Reinforcement Learning. MICCAI (1) 2020: 53-63 - [c154]Harshit S. Parmar, Sunanda Mitra, Brian Nutter, L. Rodney Long, Sameer K. Antani:
Visualization and Detection of Changes in Brain States Using t-SNE. SSIAI 2020: 14-17 - [i8]Sivaramakrishnan Rajaraman, Jenifer Siegelman, Philip O. Alderson, Lucas S. Folio, Les R. Folio, Sameer K. Antani:
Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays. CoRR abs/2004.08379 (2020) - [i7]Ghada Zamzmi, Sivaramakrishnan Rajaraman, Sameer K. Antani:
Unified Representation Learning for Efficient Medical Image Analysis. CoRR abs/2006.11223 (2020) - [i6]Sudhir Sornapudi, Ronald Joe Stanley, William V. Stoecker, L. Rodney Long, Zhiyun Xue, Rosemary Zuna, Shelliane R. Frazier, Sameer K. Antani:
Feature based Sequential Classifier with Attention Mechanism. CoRR abs/2007.11392 (2020) - [i5]Jiarong Ye, Yuan Xue, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Keith C. Cheng, Xiaolei Huang:
Synthetic Sample Selection via Reinforcement Learning. CoRR abs/2008.11331 (2020)
2010 – 2019
- 2019
- [j59]Sema Candemir, Sameer K. Antani:
A review on lung boundary detection in chest X-rays. Int. J. Comput. Assist. Radiol. Surg. 14(4): 563-576 (2019) - [j58]Priya Deshpande, Alexander Rasin, Jacob Furst, Daniela Raicu, Sameer K. Antani:
DiiS: A Biomedical Data Access Framework for Aiding Data Driven Research Supporting FAIR Principles. Data 4(2): 54 (2019) - [j57]Haidar A. Almubarak, Ronald Joe Stanley, Peng Guo, L. Rodney Long, Sameer K. Antani, George R. Thoma, Rosemary Zuna, Shelliane R. Frazier, William V. Stoecker:
A Hybrid Deep Learning and Handcrafted Feature Approach for Cervical Cancer Digital Histology Image Classification. Int. J. Heal. Inf. Syst. Informatics 14(2): 66-87 (2019) - [j56]Panagiotis D. Bamidis, Stathis Th. Konstantinidis, Pedro Pereira Rodrigues, Sameer K. Antani, Daniela Giordano:
Guest Editorial Small Things and Big Data: Controversies and Challenges in Digital Healthcare. IEEE J. Biomed. Health Informatics 23(6): 2208-2210 (2019) - [c153]Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jäger, Sameer K. Antani:
Parasite Detection in Thick Blood Smears Based on Customized Faster-RCNN on Smartphones. AIPR 2019: 1-4 - [c152]Sudhir Sornapudi, Gregory T. Brown, Zhiyun Xue, L. Rodney Long, Lisa Allen, Sameer K. Antani:
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images. AMIA 2019 - [c151]Peng Guo, Sanjana Singh, Zhiyun Xue, L. Rodney Long, Sameer K. Antani:
Deep Learning for Assessing Image Focus for Automated Cervical Cancer Screening. BHI 2019: 1-4 - [c150]Jongwoo Kim, Loc Q. Tran, Emily Y. Chew, Sameer K. Antani:
Optic Disc and Cup Segmentation for Glaucoma Characterization Using Deep Learning. CBMS 2019: 489-494 - [c149]Prasanth Ganesan, Sivaramakrishnan Rajaraman, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani:
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest Radiographs. EMBC 2019: 841-844 - [c148]Sivaramakrishnan Rajaraman, Sudhir Sornapudi, Marc D. Kohli, Sameer K. Antani:
Assessment of an ensemble of machine learning models toward abnormality detection in chest radiographs. EMBC 2019: 3689-3692 - [c147]Prasanth Ganesan, Zhiyun Xue, Sanjana Singh, L. Rodney Long, Behnaz Ghoraani, Sameer K. Antani:
Performance Evaluation of a Generative Adversarial Network for Deblurring Mobile-phone Cervical Images. EMBC 2019: 4487-4490 - [c146]Ghada Zamzmi, Li-Yueh Hsu, Wen Li, Vandana Sachdev, Sameer K. Antani:
Echo Doppler Flow Classification and Goodness Assessment with Convolutional Neural Networks. ICMLA 2019: 1744-1749 - [c145]Harshit S. Parmar, Brian Nutter, L. Rodney Long, Sameer K. Antani, Sunanda Mitra:
Automated signal drift and global fluctuation removal from 4D fMRI data based on principal component analysis as a major preprocessing step for fMRI data analysis. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109531E - [c144]Sivaramakrishnan Rajaraman, Sema Candemir, George R. Thoma, Sameer K. Antani:
Visualizing and explaining deep learning predictions for pneumonia detection in pediatric chest radiographs. Medical Imaging: Computer-Aided Diagnosis 2019: 109500S - [c143]Feng Yang, Hang Yu, Kamolrat Silamut, Richard James Maude, Stefan Jaeger, Sameer K. Antani:
Smartphone-Supported Malaria Diagnosis Based on Deep Learning. MLMI@MICCAI 2019: 73-80 - [c142]Yuan Xue, Qianying Zhou, Jiarong Ye, L. Rodney Long, Sameer K. Antani, Carl Cornwell, Zhiyun Xue, Xiaolei Huang:
Synthetic Augmentation and Feature-Based Filtering for Improved Cervical Histopathology Image Classification. MICCAI (1) 2019: 387-396 - [i4]Yuan Xue, Qianying Zhou, Jiarong Ye, L. Rodney Long, Sameer K. Antani, Carl Cornwell, Zhiyun Xue, Xiaolei Huang:
Synthetic Augmentation and Feature-based Filtering for Improved Cervical Histopathology Image Classification. CoRR abs/1907.10655 (2019) - [i3]Shih-Fu Chang, Alexander G. Hauptmann, Louis-Philippe Morency, Sameer K. Antani, Dick C. A. Bulterman, Carlos Busso, Joyce Yue Chai, Julia Hirschberg, Ramesh C. Jain, Ketan Mayer-Patel, Reuven Meth, Raymond J. Mooney, Klara Nahrstedt, Shrikanth S. Narayanan, Prem Natarajan, Sharon L. Oviatt, Balakrishnan Prabhakaran, Arnold W. M. Smeulders, Hari Sundaram, Zhengyou Zhang, Michelle X. Zhou:
Report of 2017 NSF Workshop on Multimedia Challenges, Opportunities and Research Roadmaps. CoRR abs/1908.02308 (2019) - [i2]Sudhir Sornapudi, Gregory T. Brown, Zhiyun Xue, L. Rodney Long, Lisa Allen, Sameer K. Antani:
Comparing Deep Learning Models for Multi-cell Classification in Liquid-based Cervical Cytology Images. CoRR abs/1910.00722 (2019) - [i1]Yuan Xue, Jiarong Ye, L. Rodney Long, Sameer K. Antani, Zhiyun Xue, Xiaolei Huang:
Selective Synthetic Augmentation with Quality Assurance. CoRR abs/1912.03837 (2019) - 2018
- [j55]Stefan Jäger, Octavio H. Juarez-Espinosa, Sema Candemir, Mahdieh Poostchi, Feng Yang, Lewis Kim, Meng Ding, Les R. Folio, Sameer K. Antani, Andrei E. Gabrielian, Darrell E. Hurt, Alex Rosenthal, George R. Thoma:
Detecting drug-resistant tuberculosis in chest radiographs. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1915-1925 (2018) - [j54]Szilárd Vajda, Alexandros Karargyris, Stefan Jäger, KC Santosh, Sema Candemir, Zhiyun Xue, Sameer K. Antani, George R. Thoma:
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs. J. Medical Syst. 42(8): 146:1-146:11 (2018) - [j53]KC Santosh, Sameer K. Antani:
Automated Chest X-Ray Screening: Can Lung Region Symmetry Help Detect Pulmonary Abnormalities? IEEE Trans. Medical Imaging 37(5): 1168-1177 (2018) - [c141]Zhiyun Xue, Sivaramakrishnan Rajaraman, L. Rodney Long, Sameer K. Antani, George R. Thoma:
Gender Detection from Spine X-Ray Images Using Deep Learning. CBMS 2018: 54-58 - [c140]Sivaramakrishnan Rajaraman, Sema Candemir, Zhiyun Xue, Philip O. Alderson, Marc D. Kohli, Joseph Abuya, George R. Thoma, Sameer K. Antani:
A novel stacked generalization of models for improved TB detection in chest radiographs. EMBC 2018: 718-721 - [c139]Zhiyun Xue, L. Rodney Long, Stefan Jaeger, Les R. Folio, George R. Thoma, Sameer K. Antani:
Extraction of Aortic Knuckle Contour in Chest Radiographs Using Deep Learning. EMBC 2018: 5890-5893 - [c138]Sivaramakrishnan Rajaraman, Sameer K. Antani, Sema Candemir, Zhiyun Xue, Joseph Abuya, Marc D. Kohli, Philip O. Alderson, George R. Thoma:
Comparing deep learning models for population screening using chest radiography. Medical Imaging: Computer-Aided Diagnosis 2018: 105751E - [c137]Yuan Xue, Tao Xu, L. Rodney Long, Zhiyun Xue, Sameer K. Antani, George R. Thoma, Xiaolei Huang:
Multimodal Recurrent Model with Attention for Automated Radiology Report Generation. MICCAI (1) 2018: 457-466 - [c136]Golnaz Moallem, Hamed Sari-Sarraf, Mahdieh Poostchi, Richard James Maude, Kamolrat Silamut, Md Amir Hossain, Sameer K. Antani, Stefan Jaeger, George R. Thoma:
Detecting and segmenting overlapping red blood cells in microscopic images of thin blood smears. Medical Imaging: Digital Pathology 2018: 105811F - [c135]Fatema Tuz Zohora, Sameer K. Antani, KC Santosh:
Circle-like foreign element detection in chest x-rays using normalized cross-correlation and unsupervised clustering. Medical Imaging: Image Processing 2018: 105741V - [c134]Sivaramakrishnan Rajaraman, Sameer K. Antani:
Visualizing Salient Network Activations in Convolutional Neural Networks for Medical Image Modality Classification. RTIP2R (2) 2018: 42-57 - [c133]Harshit S. Parmar, Xiangyu Liu, Hua Xie, Brian Nutter, Sunanda Mitra, L. Rodney Long, Sameer K. Antani:
f-Sim: A quasi-realistic fMRI simulation toolbox using digital brain phantom and modeled noise. SSIAI 2018: 37-40 - [r2]Sameer K. Antani:
Biomedical Image Data Types and Processing. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j52]KC Santosh, Aafaque Aafaque, Sameer K. Antani, George R. Thoma:
Line Segment-Based Stitched Multipanel Figure Separation for Effective Biomedical CBIR. Int. J. Pattern Recognit. Artif. Intell. 31(6): 1757003:1-1757003:18 (2017) - [j51]Tao Xu, Han Zhang, Cheng Xin, Edward Kim, L. Rodney Long, Zhiyun Xue, Sameer K. Antani, Xiaolei Huang:
Multi-feature based benchmark for cervical dysplasia classification evaluation. Pattern Recognit. 63: 468-475 (2017) - [c132]Golnaz Moallem, Mahdieh Poostchi, Hang Yu, Kamolrat Silamut, Nila Palaniappan, Sameer K. Antani, Md Amir Hossain, Richard James Maude, Stefan Jaeger, George R. Thoma:
Detecting and Segmenting White Blood Cells in Microscopy Images of Thin Blood Smears. AIPR 2017: 1-8 - [c131]Benjamin Bryant, Hamed Sari-Sarraf, L. Rodney Long, Sameer K. Antani:
A Kernel Support Vector Machine Trained Using Approximate Global and Exhaustive Local Sampling. BDCAT 2017: 267-268 - [c130]Asma Ben Abacha, Alba Garcia Seco de Herrera, Ke Wang, L. Rodney Long, Sameer K. Antani, Dina Demner-Fushman:
Named entity recognition in functional neuroimaging literature. BIBM 2017: 2218-2220 - [c129]Sema Candemir, Sameer K. Antani, Zhiyun Xue, George R. Thoma:
Novel Method for Storyboarding Biomedical Videos for Medical Informatics. CBMS 2017: 127-132 - [c128]