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Sameer Antani

Showing results (41-50 of 130) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|August 12, 2025
Combining Real and Synthetic Data to Overcome Limited Training Datasets in Multimodal LearningNiccolo Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman, et al.
Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation|April 25, 2025
Spatio-functional parcellation of resting state fMRIHarshit Parmar, Brian Nutter, Sunanda Mitra, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest RadiographsPrasanth Ganesan, Sivaramakrishnan Rajaraman, Rodney Long, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 23, 2021
Visualizing temporal brain-state changes for fMRI using t-distributed stochastic neighbor embeddingHarshit Parmar, Brian Nutter, Rodney Long, et al.
International Journal of Computer Assisted Radiology and Surgery|March 21, 2016
Edge map analysis in chest X-rays for automatic pulmonary abnormality screeningK C Santosh, Szilárd Vajda, Sameer Antani, et al.
Diagnostics (Basel, Switzerland)|March 29, 2023
Cross Dataset Analysis of Domain Shift in CXR Lung Region DetectionZhiyun Xue, Feng Yang, Sivaramakrishnan Rajaraman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 21, 2023
Spatiotemporal feature extraction and classification of Alzheimer's disease using deep learning 3D-CNN for fMRI dataHarshit Parmar, Brian Nutter, Rodney Long, et al.
Journal of Biomedical Informatics|May 15, 2026
Mitigating hallucinations in synthesized clinical texts to improve multimodal deep learning for dermatologyNiccolo Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman, et al.
Diagnostics (Basel, Switzerland)|June 2, 2021
Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent FindingsSivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio, et al.
Arxiv|February 15, 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, et al.
Pageof 13

Showing results (41-50 of 130) with videos related to

Sort By:
Pageof 13
Medrxiv : the Preprint Server for Health Sciences|August 12, 2025
Combining Real and Synthetic Data to Overcome Limited Training Datasets in Multimodal LearningNiccolo Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman, et al.
Proceedings. IEEE Southwest Symposium on Image Analysis and Interpretation|April 25, 2025
Spatio-functional parcellation of resting state fMRIHarshit Parmar, Brian Nutter, Sunanda Mitra, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Assessment of Data Augmentation Strategies Toward Performance Improvement of Abnormality Classification in Chest RadiographsPrasanth Ganesan, Sivaramakrishnan Rajaraman, Rodney Long, et al.
Journal of Medical Imaging (Bellingham, Wash.)|August 23, 2021
Visualizing temporal brain-state changes for fMRI using t-distributed stochastic neighbor embeddingHarshit Parmar, Brian Nutter, Rodney Long, et al.
International Journal of Computer Assisted Radiology and Surgery|March 21, 2016
Edge map analysis in chest X-rays for automatic pulmonary abnormality screeningK C Santosh, Szilárd Vajda, Sameer Antani, et al.
Diagnostics (Basel, Switzerland)|March 29, 2023
Cross Dataset Analysis of Domain Shift in CXR Lung Region DetectionZhiyun Xue, Feng Yang, Sivaramakrishnan Rajaraman, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 21, 2023
Spatiotemporal feature extraction and classification of Alzheimer's disease using deep learning 3D-CNN for fMRI dataHarshit Parmar, Brian Nutter, Rodney Long, et al.
Journal of Biomedical Informatics|May 15, 2026
Mitigating hallucinations in synthesized clinical texts to improve multimodal deep learning for dermatologyNiccolo Marini, Zhaohui Liang, Sivaramakrishnan Rajaraman, et al.
Diagnostics (Basel, Switzerland)|June 2, 2021
Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent FindingsSivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio, et al.
Arxiv|February 15, 2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?Sivaramakrishnan Rajaraman, Feng Yang, Ghada Zamzmi, et al.
Pageof 13