Drew A. Torigian

95 papers A 1B 14Misc 1Journal 28Unranked 51

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Predicting the Effort Required to Manually Mend Auto-Segmentations. IEEE J. Biomed. Health Informatics Da He, Yubing Tong, Drew A. Torigian, Jayaram K. Udupa
2026	J	`jnl`	RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR). CoRR Yishu Wei, Adam E. Flanders, Errol Colak, John Mongan, Luciano M. Prevedello, Po-Hao Chen, Henrique Min Ho Lee, Gilberto Szarf, Hamilton Shoji, Jason Sho, Katherine P. Andriole, Tessa Sundaram Cook, Lisa C. Adams, Linda C. Chu, Maggie Chung, Geraldine Brusca-Augello, Djeven P. Deva, Navneet Singh, Felipe Antonio Sanchez Tijmes, Jeffrey B. Alpert, Elsie T. Nguyen, Drew A. Torigian, Kate Hanneman, Lauren K. Groner, Alexander Phan, Ali Islam, Matias F. Callejas, Gustavo Borges da Silva Teles, Faisal Jamal, Maryam Vazirabad, Ali Tejani, Hari Trivedi, Paulo Eduardo de Aguiar Kuriki, Rajesh Bhayana, Elana T. Benishay, Yi Lin, Yifan Peng, George Shih
2025	—	`conf`	Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging. CVPR Workshops David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Akshay Chaudhari, Aladine Chetouani, Ahmet Enis Çetin, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Drew A. Torigian, Jayaram K. Udupa, Elizabeth A. Krupinski, Ulas Bagci
2025	J	`jnl`	Eyes Tell the Truth: GazeVal Highlights Shortcomings of Generative AI in Medical Imaging. CoRR David C. Wong, Bin Wang, Gorkem Durak, Marouane Tliba, Akshay Chaudhari, Aladine Chetouani, Ahmet Enis Çetin, Cagdas Topel, Nicolo Gennaro, Camila Lopes Vendrami, Tugce Agirlar Trabzonlu, Amir Ali Rahsepar, Laetitia Perronne, Matthew Antalek, Onural Ozturk, Gokcan Okur, Andrew C. Gordon, Ayis Pyrros, Frank H. Miller, Amir Borhani, Hatice Savas, Eric M. Hart, Drew A. Torigian, Jayaram K. Udupa, Elizabeth A. Krupinski, Ulas Bagci
2025	J	`jnl`	Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients. CoRR Wanying Dou, Gorkem Durak, Koushik Biswas, Ziliang Hong, Andrea Mia Bejar, Elif Keles, Kaan Akin, Sukru Mehmet Erturk, Alpay Medetalibeyoglu, Marc Sala, Alexander Misharin, Hatice Savas, Mary Salvatore, Sachin Jambawalikar, Drew A. Torigian, Jayaram K. Udupa, Ulas Bagci
2024	J	`jnl`	GA-Net: A geographical attention neural network for the segmentation of body torso tissue composition. Medical Image Anal. Jian Dai, Tiange Liu, Drew A. Torigian, Yubing Tong, Shiwei Han, Pengju Nie, Jing Zhang, Ran Li, Fei Xie, Jayaram K. Udupa
2024	A	`conf`	GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification. WACV Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Elif Keles, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci
2024	J	`jnl`	VSmTrans: A hybrid paradigm integrating self-attention and convolution for 3D medical image segmentation. Medical Image Anal. Tiange Liu, Qingze Bai, Drew A. Torigian, Yubing Tong, Jayaram K. Udupa
2024	J	`jnl`	XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image. CoRR Qingze Bai, Tiange Liu, Zhi Liu, Yubing Tong, Drew A. Torigian, Jayaram K. Udupa
2023	—	`conf`	A deep-learning-based geographic attention model for body composition tissue segmentation. Biomedical Applications in Molecular, Structural, and Functional Imaging Jian Dai, Jayaram K. Udupa, Drew A. Torigian, Yubing Tong, Pengju Nie, Jing Zhang, Ran Li, Shiwei Han, Tian Liu
2023	—	`conf`	Auto-segmentation of thoracic brachial plexuses for radiation therapy planning. Image-Guided Procedures Ademola Enitan Ilesanmi, Jayaram K. Udupa, Yubing Tong, Tiange Liu, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Joe Camaratta, Steve Owens, Drew A. Torigian
2023	—	`conf`	Auto-segmentation of thoraco-abdominal organs in free breathing pediatric dynamic MRI. Image-Guided Procedures Yusuf Akhtar, Jayaram K. Udupa, Yubing Tong, Tiange Liu, Caiyun Wu, Dewey Odhner, Joseph M. McDonough, Carina Lott, Abbie Clark, Jason B. Anari, Patrick J. Cahill, Drew A. Torigian
2023	—	`conf`	Estimating normal metabolic activity for disease quantification via PET/CT images. Biomedical Applications in Molecular, Structural, and Functional Imaging Jieyu Li, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian
2023	J	`jnl`	GazeGNN: A Gaze-Guided Graph Neural Network for Disease Classification. CoRR Bin Wang, Hongyi Pan, Armstrong Aboah, Zheyuan Zhang, Ahmet Enis Çetin, Drew A. Torigian, Baris Turkbey, Elizabeth A. Krupinski, Jayaram K. Udupa, Ulas Bagci
2023	—	`conf`	Object Localization Using Non-Euclidean Metrics. IoTaIS Ulas Bagci, Jayaram K. Udupa, Xinjian Chen, Drew A. Torigian, Alpay Medetalibeyoglu, Diwei Zhou, Li Bai
2023	—	`conf`	SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification. PRIME@MICCAI Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya
2022	J	`jnl`	A Minimally Interactive Method for Labeling Respiratory Phases in Free-Breathing Thoracic Dynamic MRI for Constructing 4D Images. IEEE Trans. Biomed. Eng. Chang-Jian Sun, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, Shuxu Guo, Joseph M. McDonough, Drew A. Torigian, Patrick J. Cahill
2022	B	`conf`	An anatomy-based iteratively searching convolutional neural network for organ localization in CT images. Image Processing Tiange Liu, Meng Tan, Yubing Tong, Drew A. Torigian, Jayaram K. Udupa
2022	B	`conf`	Anatomy-guided deep learning for object localization in medical images. Image Processing Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Nicholas Poole, Sutirth Mannikeri, Sudarshana Govindasamy, Aarushi Singh, Joe Camaratta, Steve Owens, Drew A. Torigian
2022	B	`conf`	Automatic lung segmentation in dynamic thoracic MRI using two-stage deep convolutional neural networks. Image Processing Lipeng Xie, Jayaram K. Udupa, Yubing Tong, Joseph M. McDonough, Caiyun Wu, Carina Lott, Jason B. Anari, Patrick J. Cahill, Drew A. Torigian
2022	—	`conf`	Bone and bone marrow segmentation from hip 3T magnetic resonance imaging by using local salient anatomy structure to guide deep learning-based object localization and delineation. Image-Guided Procedures Yubing Tong, Zihan Huang, Jayaram K. Udupa, Leihui Tong, Brandon C. Jones, Gregory Chang, Drew A. Torigian, Chamith S. Rajapakse
2022	J	`jnl`	Learning-Based Radiomic Prediction of Type 2 Diabetes Mellitus Using Image-Derived Phenotypes. CoRR Michael S. Yao, Allison Chae, Matthew T. MacLean, Anurag Verma, Jeffrey T. Duda, James C. Gee, Drew A. Torigian, Daniel J. Rader, Charles E. Kahn, Walter R. Witschey, Hersh Sagreiya
2022	J	`jnl`	Object recognition in medical images via anatomy-guided deep learning. Medical Image Anal. Chao Jin, Jayaram K. Udupa, Liming Zhao, Yubing Tong, Dewey Odhner, Gargi Pednekar, Sanghita Nag, Sharon Lewis, Nicholas Poole, Sutirth Mannikeri, Sudarshana Govindasamy, Aarushi Singh, Joe Camaratta, Steve Owens, Drew A. Torigian
2022	J	`jnl`	Organ segmentation from computed tomography images using the 3D convolutional neural network: a systematic review. Int. J. Multim. Inf. Retr. Ademola Enitan Ilesanmi, Taiwo Ilesanmi, Oluwagbenga Paul Idowu, Drew A. Torigian, Jayaram K. Udupa
2022	—	`conf`	QdMRI: a system for a comprehensive analysis of thoracic dynamics via dynamic MRI. Image-Guided Procedures Yubing Tong, Jayaram K. Udupa, You Hao, Lipeng Xie, Joseph M. McDonough, Caiyun Wu, Carina Lott, Abigail Clark, Jason B. Anari, Drew A. Torigian, Patrick J. Cahill
2022	J	`jnl`	Semi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI. J. Signal Process. Syst. Syed Muhammad Anwar, Ismail Irmakci, Drew A. Torigian, Sachin Jambawalikar, Georgios Z. Papadakis, Can Akgun, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci
2022	—	`conf`	Upper airway motion analysis in obstructive sleep apnea syndrome (OSAS) via dynamic MRI. Biomedical Applications in Molecular, Structural, and Functional Imaging You Hao, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Lipeng Xie, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens
2021	B	`conf`	Anatomy recognition in CT images of head and neck region via precision atlases. Image Processing Jieyu Li, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Drew A. Torigian
2021	—	`conf`	Automatic upper airway segmentation in static and dynamic MRI via deep convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging Lipeng Xie, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian, Zihan Huang, Rachel M. Kogan, Jennifer Ben Nathan, David Wootton, Kokren Choy, Sanghun Sin, Mark E. Wagshul, Raanan Arens
2021	J	`jnl`	DiSegNet: A deep dilated convolutional encoder-decoder architecture for lymph node segmentation on PET/CT images. Comput. Medical Imaging Graph. Guoping Xu, Hanqiang Cao, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian
2021	—	`conf`	Lung parenchymal characterization via thoracic dynamic MRI in normal children and pediatric patients with TIS. Image-Guided Procedures Yubing Tong, Jayaram K. Udupa, Joseph M. McDonough, Carina Lott, Caiyun Wu, Chamith S. Rajapakse, Jason B. Anari, Drew A. Torigian, Patrick J. Cahill
2021	J	`jnl`	OFx: A method of 4D image construction from free-breathing non-gated MRI slice acquisitions of the thorax via optical flux. Medical Image Anal. You Hao, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, Hua Li, Joseph M. McDonough, Carina Lott, Catherine Qiu, Nirupa Galagedera, Jason B. Anari, Drew A. Torigian, Patrick J. Cahill
2021	J	`jnl`	Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank. J. Am. Medical Informatics Assoc. Matthew T. MacLean, Qasim Jehangir, Marijana Vujkovic, Yi-An Ko, Harold Litt, Arijitt Borthakur, Hersh Sagreiya, Mark Rosen, David A. Mankoff, Mitchell D. Schnall, Haochang Shou, Julio A. Chirinos, Scott M. Damrauer, Drew A. Torigian, Rotonya Carr, Daniel J. Rader, Walter R. Witschey
2021	J	`jnl`	Segmentation evaluation with sparse ground truth data: Simulating true segmentations as perfect/imperfect as those generated by humans. Medical Image Anal. Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian
2020	—	`conf`	A post-acquisition standardization method for positron emission tomography images. Computer-Aided Diagnosis Aliasghar Mortazi, Jayaram K. Udupa, Yubing Tong, Drew A. Torigian
2020	B	`conf`	Anatomy segmentation evaluation with sparse ground truth data. Image Processing Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian
2020	—	`conf`	Automatic labeling of respiratory phases and detection of abnormal respiratory signals in free-breathing thoracic dynamic MR image acquisitions based on deep learning. Image-Guided Procedures Chang-Jian Sun, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, Joseph M. McDonough, Catherine Qiu, Carina Lott, Jason B. Anari, Drew A. Torigian, Patrick J. Cahill
2020	J	`jnl`	Deep Learning for Musculoskeletal Image Analysis. CoRR Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci
2020	—	`conf`	Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses. MICCAI (1) Rodney LaLonde, Drew A. Torigian, Ulas Bagci
2020	J	`jnl`	LinSEM: Linearizing segmentation evaluation metrics for medical images. Medical Image Anal. Jieyu Li, Jayaram K. Udupa, Yubing Tong, Lisheng Wang, Drew A. Torigian
2020	—	`conf`	Localization and segmentation of optimal slices for chest fat quantification in CT via deep learning. Biomedical Applications in Molecular, Structural, and Functional Imaging Jizheng Yi, Jayaram K. Udupa, Yubing Tong, Michaela R. Anderson, David J. Lederer, Jason D. Christie, Drew A. Torigian
2020	—	`conf`	Obtaining the potential number of object models/atlases needed in medical image analysis. Image-Guided Procedures Ze Jin, Jayaram K. Udupa, Drew A. Torigian
2020	—	`conf`	Segmentation of 4D images via space-time neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging Chang-Jian Sun, Jayaram K. Udupa, Yubing Tong, Sanghun Sin, Mark E. Wagshul, Drew A. Torigian, Raanan Arens
2020	J	`jnl`	The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari
2019	J	`jnl`	AAR-RT - A system for auto-contouring organs at risk on CT images for radiation therapy planning: Principles, design, and large-scale evaluation on head-and-neck and thoracic cancer cases. Medical Image Anal. Xingyu Wu, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Gargi V. Pednekar, Charles B. Simone II, David McLaughlin, Chavanon Apinorasethkul, Ontida Apinorasethkul, John Lukens, Dimitris Mihailidis, Geraldine Shammo, Paul James, Akhil Tiwari, Lisa Wojtowicz, Joseph Camaratta, Drew A. Torigian
2019	—	`conf`	Auto-labeling of respiratory time points in free-breathing thoracic dynamic MR image acquisitions for 4D image construction. Biomedical Applications in Molecular, Structural, and Functional Imaging Chang-Jian Sun, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, Shuxu Guo, Joseph M. McDonough, Drew A. Torigian, Robert M. Campbell Jr.
2019	Misc	`conf`	Deep Learning for Musculoskeletal Image Analysis. ACSSC Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci
2019	J	`jnl`	Disease quantification on PET/CT images without explicit object delineation. Medical Image Anal. Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Stephen J. Schuster, Drew A. Torigian
2019	J	`jnl`	Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses. CoRR Rodney LaLonde, Drew A. Torigian, Ulas Bagci
2019	J	`jnl`	How many models/atlases are needed as priors for capturing anatomic population variations? Medical Image Anal. Ze Jin, Jayaram K. Udupa, Drew A. Torigian
2019	B	`conf`	Obtaining the potential number of models/atlases needed for capturing anatomic variations in population images. Image Processing Ze Jin, Jayaram K. Udupa, Drew A. Torigian
2019	—	`conf`	Super-mask-based object localization for auto-contouring in head and neck radiation therapy planning. Image-Guided Procedures Yubing Tong, Jayaram K. Udupa, Drew A. Torigian
2019	J	`jnl`	Weakly Supervised Segmentation by A Deep Geodesic Prior. CoRR Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci
2019	—	`conf`	Weakly Supervised Segmentation by a Deep Geodesic Prior. MLMI@MICCAI Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci
2018	—	`conf`	Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome. Image-Guided Procedures Jie Song, Jayaram K. Udupa, Yubing Tong, Liang Xiao, Caiyun Wu, Joseph M. McDonough, Anthony Capraro, Drew A. Torigian, Robert M. Campbell Jr.
2018	—	`conf`	Auto-contouring via automatic anatomy recognition of organs at risk in head and neck cancer on CT images. Image-Guided Procedures Xingyu Wu, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Gargi V. Pednekar, Charles B. Simone II, David McLaughlin, Chavanon Apinorasethkul, John Lukens, Dimitris Mihailidis, Geraldine Shammo, Paul James, Joseph Camaratta, Drew A. Torigian
2018	B	`conf`	Automatic anatomy recognition using neural network learning of object relationships via virtual landmarks. Image Processing Fengxia Yan, Jayaram K. Udupa, Yubing Tong, Guoping Xu, Dewey Odhner, Drew A. Torigian
2018	—	`conf`	Hierarchical model-based object localization for auto-contouring in head and neck radiation therapy planning. Biomedical Applications in Molecular, Structural, and Functional Imaging Yubing Tong, Jayaram K. Udupa, Xingyu Wu, Dewey Odhner, Gargi Pednekar, Charles B. Simone II, David McLaughlin, Chavanon Apinorasethkul, Geraldine Shammo, Paul James, Joseph Camaratta, Drew A. Torigian
2018	—	`conf`	Image quality and segmentation. Image-Guided Procedures Gargi V. Pednekar, Jayaram K. Udupa, David J. McLaughlin, Xingyu Wu, Yubing Tong, Charles B. Simone II, Joseph Camaratta, Drew A. Torigian
2018	—	`conf`	Lung parenchymal analysis on dynamic MRI in thoracic insufficiency syndrome to assess changes following surgical intervention. Computer-Aided Diagnosis Basavaraj N. Jagadale, Jayaram K. Udupa, Yubing Tong, Caiyun Wu, Joseph M. McDonough, Drew A. Torigian, Robert M. Campbell Jr.
2018	—	`conf`	Quantitative analysis of adipose tissue on chest CT to predict primary graft dysfunction in lung transplant recipients: a novel optimal biomarker approach. Computer-Aided Diagnosis Yubing Tong, Jayaram K. Udupa, Chuang Wang, Caiyun Wu, Gargi Pednekar, Michaela D. Restivo, David J. Lederer, Jason D. Christie, Drew A. Torigian
2018	—	`conf`	Quantitative dynamic MRI (QdMRI) volumetric analysis of pediatric patients with thoracic insufficiency syndrome. Biomedical Applications in Molecular, Structural, and Functional Imaging Yubing Tong, Jayaram K. Udupa, E. Paul Wileyto, Caiyun Wu, Joseph M. McDonough, Anthony Capraro, Oscar H. Mayer, Drew A. Torigian, Robert M. Campbell Jr.
2018	B	`conf`	Thoracic lymph node station recognition on CT images based on automatic anatomy recognition with an optimal parent strategy. Image Processing Guoping Xu, Jayaram K. Udupa, Yubing Tong, Hanqiang Cao, Dewey Odhner, Drew A. Torigian, Xingyu Wu
2018	—	`conf`	Urinary bladder cancer T-staging from T2-weighted MR images using an optimal biomarker approach. Computer-Aided Diagnosis Chuang Wang, Jayaram K. Udupa, Yubing Tong, Jerry Chen, Sriram Venigalla, Dewey Odhner, Thomas J. Guzzo, John Christodouleas, Drew A. Torigian
2017	—	`conf`	Automatic thoracic body region localization. Computer-Aided Diagnosis Peirui Bai, Jayaram K. Udupa, Yubing Tong, Shipeng Xie, Drew A. Torigian
2017	—	`conf`	Disease quantification on PET/CT images without object delineation. Biomedical Applications in Molecular, Structural, and Functional Imaging Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Danielle Fitzpatrick, Nicole Winchell, Stephen J. Schuster, Drew A. Torigian
2017	—	`conf`	Interactive iterative relative fuzzy connectedness lung segmentation on thoracic 4D dynamic MR images. Biomedical Applications in Molecular, Structural, and Functional Imaging Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Caiyun Wu, Yue Zhao, Joseph M. McDonough, Anthony Capraro, Drew A. Torigian, Robert M. Campbell Jr.
2017	—	`conf`	Virtual landmarks. Image-Guided Procedures Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Peirui Bai, Drew A. Torigian
2016	—	`conf`	A general approach to liver lesion segmentation in CT images. Image-Guided Procedures Li Cao, Jayaram K. Udupa, Dewey Odhner, Lidong Huang, Yubing Tong, Drew A. Torigian
2016	—	`conf`	Automatic anatomy recognition on CT images with pathology. Computer-Aided Diagnosis Lidong Huang, Jayaram K. Udupa, Yubing Tong, Dewey Odhner, Drew A. Torigian
2016	—	`conf`	Definition and automatic anatomy recognition of lymph node zones in the pelvis on CT images. Biomedical Applications in Molecular, Structural, and Functional Imaging Yu Liu, Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Shuxu Guo, Rosemary Attor, Danica Reinicke, Drew A. Torigian
2016	—	`conf`	Fat quantification and analysis of lung transplant patients on unenhanced chest CT images based on standardized anatomic space. Biomedical Applications in Molecular, Structural, and Functional Imaging Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Caiyun Wu, Jason D. Christie, David J. Lederer
2016	—	`conf`	Fat segmentation on chest CT images via fuzzy models. Image-Guided Procedures Yubing Tong, Jayaram K. Udupa, Caiyun Wu, Gargi Pednekar, Janani Rajan Subramanian, David J. Lederer, Jason D. Christie, Drew A. Torigian
2016	—	`conf`	Lymph node detection in IASLC-defined zones on PET/CT images. Computer-Aided Diagnosis Yihua Song, Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Drew A. Torigian
2016	—	`conf`	Optimal atlas construction through hierarchical image registration. Image-Guided Procedures George J. Grevera, Jayaram K. Udupa, Dewey Odhner, Drew A. Torigian
2016	J	`jnl`	Quantitative normal thoracic anatomy at CT. Comput. Medical Imaging Graph. Monica M. S. Matsumoto, Jayaram K. Udupa, Yubing Tong, Babak Saboury, Drew A. Torigian
2015	B	`conf`	Automatic anatomy recognition of sparse objects. Image Processing Liming Zhao, Jayaram K. Udupa, Dewey Odhner, Huiqian Wang, Yubing Tong, Drew A. Torigian
2015	—	`conf`	Body-wide anatomy recognition in PET/CT images. Image-Guided Procedures Huiqian Wang, Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Liming Zhao, Drew A. Torigian
2015	—	`conf`	Interactive non-uniformity correction and intensity standardization of MR images. Image-Guided Procedures Yubing Tong, Jayaram K. Udupa, Dewey Odhner, Shobhit Sharma, Drew A. Torigian
2015	—	`conf`	MR image analytics to characterize upper airway architecture in children with OSAS. Biomedical Applications in Molecular, Structural, and Functional Imaging Yubing Tong, Jayaram K. Udupa, Drew A. Torigian, Monica M. S. Matsumoto, Sanghun Sin, Raanan Arens
2014	—	`conf`	Automatic localization of IASLC-defined mediastinal lymph node stations on CT images using fuzzy models. Computer-Aided Diagnosis Monica M. S. Matsumoto, Niha G. Beig, Jayaram K. Udupa, Steven Archer, Drew A. Torigian
2014	—	`conf`	Automatic thoracic anatomy segmentation on CT images using hierarchical fuzzy models and registration. Image-Guided Procedures Kaioqiong Sun, Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Drew A. Torigian
2014	J	`jnl`	Body-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images. Medical Image Anal. Jayaram K. Udupa, Dewey Odhner, Liming Zhao, Yubing Tong, Monica M. S. Matsumoto, Krzysztof Chris Ciesielski, Alexandre X. Falcão, Pavithra Vaideeswaran, Victoria Ciesielski, Babak Saboury, Syedmehrdad Mohammadianrasanani, Sanghun Sin, Raanan Arens, Drew A. Torigian
2014	B	`conf`	Multiple fuzzy object modeling improves sensitivity in automatic anatomy recognition. Image Processing Letícia Rittner, Jayaram K. Udupa, Drew A. Torigian
2014	B	`conf`	Standardized anatomic space for abdominal fat quantification. Image Processing Yubing Tong, Jayaram K. Udupa, Drew A. Torigian
2013	—	`conf`	Fuzzy model-based body-wide anatomy recognition in medical images. Image-Guided Procedures Jayaram K. Udupa, Dewey Odhner, Yubing Tong, Monica M. S. Matsumoto, Krzysztof Chris Ciesielski, Pavithra Vaideeswaran, Victoria Ciesielski, Babak Saboury, Liming Zhao, Syedmehrdad Mohammadianrasanani, Drew A. Torigian
2013	J	`jnl`	GC-ASM: Synergistic integration of graph-cut and active shape model strategies for medical image segmentation. Comput. Vis. Image Underst. Xinjian Chen, Jayaram K. Udupa, Abass Alavi, Drew A. Torigian
2012	—	`conf`	Automatic anatomy recognition via fuzzy object models. Image-Guided Procedures Jayaram K. Udupa, Dewey Odhner, Alexandre X. Falcão, Krzysztof Chris Ciesielski, Paulo A. V. Miranda, Monica M. S. Matsumoto, George J. Grevera, Babak Saboury, Drew A. Torigian
2011	—	`conf`	Fuzzy object modeling. Image-Guided Procedures Jayaram K. Udupa, Dewey Odhner, Alexandre X. Falcão, Krzysztof Chris Ciesielski, Paulo A. V. Miranda, Pavithra Vaideeswaran, Shipra Mishra, George J. Grevera, Babak Saboury, Drew A. Torigian
2010	—	`conf`	3D automatic anatomy recognition based on iterative graph-cut-ASM. Image-Guided Procedures Xinjian Chen, Jayaram K. Udupa, Ulas Bagci, Abass Alavi, Drew A. Torigian
2010	—	`conf`	Pathology detection on medical images based in oriented active appearance models. Computer-Aided Diagnosis Xinjian Chen, Jayaram K. Udupa, Abass Alavi, Drew A. Torigian
2009	B	`conf`	Automatic anatomy recognition via multi-object-oriented active shape models. Image Processing Xinjian Chen, Jayaram K. Udupa, Xiaofen Zheng, Abass Alavi, Drew A. Torigian
2009	—	`conf`	Computational Analysis of HRCT Images for Characterization and Differentiation of ILD and COPD. ISBI Gang Song, Eduardo Barbosa Jr., Nicholas J. Tustison, James C. Gee, Warren B. Gefter, Maryl Kreider, Drew A. Torigian
2009	B	`conf`	GC-ASM: synergistic integration of active shape modeling and graph-cut methods. Image Processing Xinjian Chen, Jayaram K. Udupa, Drew A. Torigian, Abass Alavi
2006	B	`conf`	A new general method of 3D model generation for active shape image segmentation. Image Processing Seong-Jae Lim, Jayaram K. Udupa, Andre D. A. Souza, Yong-Yeon Jeong, Yo-Sung Ho, Drew A. Torigian