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Mannudeep K. Kalra
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2020 – today
- 2024
- [j26]Mainak Biswas, Luca Saba, Mannudeep K. Kalra, Rajesh Singh, José Fernandes e Fernandes, Vijay Viswanathan, John R. Laird, Laura E. Mantella, Amer M. Johri, Mostafa M. Fouda, Jasjit S. Suri:
MultiNet 2.0: A lightweight attention-based deep learning network for stenosis measurement in carotid ultrasound scans and cardiovascular risk assessment. Comput. Medical Imaging Graph. 117: 102437 (2024) - [c10]Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Detection from Multi-view Chest X-Rays with BI-Mamba. MICCAI (5) 2024: 134-144 - [c9]Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Disease-Informed Adaptation of Vision-Language Models. MICCAI (11) 2024: 232-242 - [i22]Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Disease-informed Adaptation of Vision-Language Models. CoRR abs/2405.15728 (2024) - [i21]Zefan Yang, Jiajin Zhang, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Detection from Multi-View Chest X-rays with BI-Mamba. CoRR abs/2405.18533 (2024) - [i20]Vijay Sadashivaiah, Mannudeep K. Kalra, Pingkun Yan, James A. Hendler:
Explaining Chest X-ray Pathology Models using Textual Concepts. CoRR abs/2407.00557 (2024) - [i19]Chuang Niu, Parisa Kaviani, Qing Lyu, Mannudeep K. Kalra, Christopher T. Whitlow, Ge Wang:
Cross-Institutional Structured Radiology Reporting for Lung Cancer Screening Using a Dynamic Template-Constrained Large Language Model. CoRR abs/2409.18319 (2024) - 2023
- [c8]Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. MLMI@MICCAI (2) 2023: 214-223 - [i18]Razi Mahmood, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Fact-Checking of AI-Generated Reports. CoRR abs/2307.14634 (2023) - 2022
- [j25]Suchismita Das, Gopal Krishna Nayak, Luca Saba, Mannudeep K. Kalra, Jasjit S. Suri
, Sanjay Saxena:
An artificial intelligence framework and its bias for brain tumor segmentation: A narrative review. Comput. Biol. Medicine 143: 105273 (2022) - [j24]Pankaj Kumar Jain
Far wall plaque segmentation and area measurement in common and internal carotid artery ultrasound using U-series architectures: An unseen Artificial Intelligence paradigm for stroke risk assessment. Comput. Biol. Medicine 149: 106017 (2022) - [c7]Jiajin Zhang, Hanqing Chao, Giridhar Dasegowda, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Overlooked Trustworthiness of Saliency Maps. MICCAI (3) 2022: 451-461 - [i17]Chuang Niu, Giridhar Dasegowda, Pingkun Yan, Mannudeep K. Kalra, Ge Wang:
X-ray Dissectography Improves Lung Nodule Detection. CoRR abs/2203.13118 (2022) - 2021
- [j23]Xi Fang
Association of AI quantified COVID-19 chest CT and patient outcome. Int. J. Comput. Assist. Radiol. Surg. 16(3): 435-445 (2021) - [j22]Fatemeh Homayounieh
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome. J. Digit. Imaging 34(2): 320-329 (2021) - [j21]Hanqing Chao, Xi Fang
Integrative analysis for COVID-19 patient outcome prediction. Medical Image Anal. 67: 101844 (2021) - [j20]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath
Quantifying and leveraging predictive uncertainty for medical image assessment. Medical Image Anal. 68: 101855 (2021) - [j19]Aoxiao Zhong
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19. Medical Image Anal. 70: 101993 (2021) - [j18]Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images. npj Digit. Medicine 4 (2021) - [j17]Ti Bai
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. IEEE Trans. Medical Imaging 40(11): 2965-2975 (2021) - [c6]Diego Machado Reyes
Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. MLMI@MICCAI 2021: 467-476 - [i16]Weiwen Wu, Chuang Niu, Shadi Ebrahimian, Hengyong Yu, Mannudeep K. Kalra, Ge Wang:
AI-Enabled Ultra-Low-Dose CT Reconstruction. CoRR abs/2106.09834 (2021) - 2020
- [j16]Fatemeh Homayounieh
Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT. Int. J. Comput. Assist. Radiol. Surg. 15(10): 1727-1736 (2020) - [j15]Fatemeh Homayounieh
Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians. J. Digit. Imaging 33(2): 334-340 (2020) - [j14]Yiming Lei, Yukun Tian, Hongming Shan
Shape and margin-aware lung nodule classification in low-dose CT images via soft activation mapping. Medical Image Anal. 60 (2020) - [j13]Hengtao Guo
Knowledge-Based Analysis for Mortality Prediction From CT Images. IEEE J. Biomed. Health Informatics 24(2): 457-464 (2020) - [j12]Dufan Wu
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels. IEEE J. Biomed. Health Informatics 24(12): 3529-3538 (2020) - [j11]Fenglei Fan
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising. IEEE Trans. Medical Imaging 39(6): 2035-2050 (2020) - [c5]Hengtao Guo
Multi-task learning for mortality prediction in LDCT images. Medical Imaging: Computer-Aided Diagnosis 2020 - [i15]Tahereh Javaheri, Morteza Homayounfar, Zohreh Amoozgar, Reza Reiazi, Fatemeh Homayounieh, Engy Abbas, Azadeh Laali, Amir Reza Radmard, Mohammad Hadi Gharib, Seyed Ali Javad Mousavi, Omid Ghaemi, Rosa Babaei, Hadi Karimi Mobin, Mehdi Hosseinzadeh, Rana Jahanban-Esfahlan, Khaled Seidi, Mannudeep K. Kalra, Guanglan Zhang, Lubomir T. Chitkushev, Benjamin Haibe-Kains, Reza Malekzadeh, Reza Rawassizadeh:
CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image. CoRR abs/2005.03059 (2020) - [i14]Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson
Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment. CoRR abs/2007.04258 (2020) - [i13]Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara Daniela Arru, Subba R. Digumarthy, Rosa Babaei, Hadi Karimi Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi, Alessio Pasche
Integrative Analysis for COVID-19 Patient Outcome Prediction. CoRR abs/2007.10416 (2020) - [i12]Hanqing Chao, Hongming Shan, Fatemeh Homayounieh, Ramandeep Singh, Ruhani Doda Khera, Hengtao Guo, Timothy Su, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography. CoRR abs/2008.06997 (2020) - [i11]Young-Gon Kim, Kyung Sang Kim, Dufan Wu, Hui Ren, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Mannudeep K. Kalra, Quanzheng Li:
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis. CoRR abs/2009.12610 (2020) - [i10]Ti Bai, Biling Wang, Dan Nguyen, Bao Wang, Bin Dong, Wenxiang Cong, Mannudeep K. Kalra, Steve B. Jiang:
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography. CoRR abs/2011.14873 (2020) - [i9]Aoxiao Zhong, Xiang Li, Dufan Wu, Hui Ren, Kyung Sang Kim, Young-Gon Kim, Varun Buch, Nir Neumark, Bernardo Bizzo, Won Young Tak, Soo Young Park, Yu Rim Lee, Min Kyu Kang, Jung Gil Park, Byung Seok Kim, Woo Jin Chung, Ning Guo, Ittai Dayan, Mannudeep K. Kalra, Quanzheng Li:
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19. CoRR abs/2012.03663 (2020)
2010 – 2019
- 2019
- [j10]Hongming Shan
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction. Nat. Mach. Intell. 1(6): 269-276 (2019) - [c4]Pingkun Yan, Hengtao Guo
Hybrid Neural Networks for Mortality Prediction from LDCT Images. EMBC 2019: 6243-6246 - [c3]Florin C. Ghesu, Bogdan Georgescu, Eli Gibson
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. MICCAI (6) 2019: 676-684 - [p1]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu
Generative Low-Dose CT Image Denoising. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 277-297 - [i8]Hengtao Guo, Uwe Kruger, Ge Wang, Mannudeep K. Kalra, Pingkun Yan:
Knowledge-based Analysis for Mortality Prediction from CT Images. CoRR abs/1902.07687 (2019) - [i7]Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Gündel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu:
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment. CoRR abs/1906.07775 (2019) - 2018
- [j9]Qingsong Yang, Pingkun Yan
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss. IEEE Trans. Medical Imaging 37(6): 1348-1357 (2018) - [j8]Hongming Shan
3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network. IEEE Trans. Medical Imaging 37(6): 1522-1534 (2018) - [j7]Hongming Shan
Correction for "3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2D Trained Network". IEEE Trans. Medical Imaging 37(12): 2750 (2018) - [i6]Pingkun Yan, Hengtao Guo, Ge Wang
Hybrid deep neural networks for all-cause Mortality Prediction from LDCT Images. CoRR abs/1810.08503 (2018) - [i5]Yiming Lei, Yukun Tian, Hongming Shan, Junping Zhang, Ge Wang, Mannudeep K. Kalra:
Soft Activation Mapping of Lung Nodules in Low-Dose CT images. CoRR abs/1810.12494 (2018) - [i4]Hongming Shan, Atul Padole, Fatemeh Homayounieh, Uwe Krüger, Ruhani Doda Khera, Chayanin Nitiwarangkul, Mannudeep K. Kalra, Ge Wang
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods? CoRR abs/1811.03691 (2018) - 2017
- [j6]Lars Gjesteby
Hybrid Imaging System for Simultaneous Spiral MR and X-ray (MRX) Scans. IEEE Access 5: 1050-1061 (2017) - [j5]Lin Fu, Tzu-Cheng Lee, Soo Mee Kim, Adam M. Alessio, Paul E. Kinahan
Comparison Between Pre-Log and Post-Log Statistical Models in Ultra-Low-Dose CT Reconstruction. IEEE Trans. Medical Imaging 36(3): 707-720 (2017) - [j4]Hu Chen, Yi Zhang
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network. IEEE Trans. Medical Imaging 36(12): 2524-2535 (2017) - [i3]Hu Chen, Yi Zhang, Mannudeep K. Kalra, Feng Lin, Peixi Liao, Jiliu Zhou, Ge Wang
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN). CoRR abs/1702.00288 (2017) - [i2]Qingsong Yang, Pingkun Yan, Mannudeep K. Kalra, Ge Wang
CT Image Denoising with Perceptive Deep Neural Networks. CoRR abs/1702.07019 (2017) - [i1]Qingsong Yang, Pingkun Yan, Yanbo Zhang, Hengyong Yu, Yongyi Shi, Xuanqin Mou, Mannudeep K. Kalra, Ge Wang:
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss. CoRR abs/1708.00961 (2017) - 2016
- [j3]Ruben De Man
Upper-Bound on Dose Reduction in CT Reconstruction for Nodule Detection. IEEE Access 4: 4247-4253 (2016) - 2012
- [j2]Synho Do, Kristen Salvaggio, Supriya Gupta, Mannudeep K. Kalra, Nabeel U. Ali, Homer H. Pien:
Automated Quantification of Pneumothorax in CT. Comput. Math. Methods Medicine 2012: 736320:1-736320:7 (2012) - 2010
- [c2]Synho Do, W. Clem Karl
A variational approach for reconstructing low dose images in clinical helical CT. ISBI 2010: 784-787
2000 – 2009
- 2009
- [j1]Pragya A. Dang, Mannudeep K. Kalra, Michael A. Blake, Thomas J. Schultz, Markus Stout, Elkan F. Halpern, Keith J. Dreyer:
Use of Radcube for Extraction of Finding Trends in a Large Radiology Practice. J. Digit. Imaging 22(6): 629-640 (2009) - [c1]Synho Do, Sanghee Cho, W. Clem Karl
Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT. ISBI 2009: 330-333
Coauthor Index
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last updated on 2024-10-31 20:19 CET by the dblp team
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