Mixed Reality Merging of Endoscopic Images and 3-D Surfaces. - Damini Dey; Piotr J. Slomka; David G. Gobbi; Terry M. Peters (MICCAI, 2000)

Automatic Fusion of Freehand Endoscopic Brain Images to Three-Dimensional Surfaces: Creating Stereoscopic Panoramas. - Damini Dey; David G. Gobbi; Piotr J. Slomka; Kathleen J. M. Surry; Terry M. Peters (IEEE Trans. Medical Imaging, 2002)

Four-dimensional multimodality image registration applied to gated SPECT and gated MRI. - Usaf E. Aladl; Gilbert A. Hurwitz; Damini Dey; Piotr J. Slomka (Image Processing, 2003)

Efficient 3D nonlinear warping of computed tomography: two high-performance implementations using OpenGL. - David Levin; Damini Dey; Piotr J. Slomka (Image-Guided Procedures, 2005)

Automated Multi-Modality Registration of 64-Slice Coronary CT Angiography with Myocardial Perfusion Spect. - Jonghye Woo; Piotr J. Slomka; Damini Dey; Victor Cheng; Amit Ramesh; Byung-Woo Hong; Daniel S. Berman; C.-C. Jay Kuo; Guido Germano 002 (ISBI, 2009)

Feature-based non-rigid volume registration of serial coronary CT angiography. - Jonghye Woo; Byung-Woo Hong; Damini Dey; Victor Cheng; Amit Ramesh; Ganesh Sundaramoorthi; C.-C. Jay Kuo; Daniel S. Berman; Guido Germano 002; Piotr J. Slomka (Image Processing, 2009)

Automatic segmentation of the diaphragm in non-contrast CT images. - Raja P. Yalamanchili; Deepak Roy Chittajallu; Paul Balanca; Balaji Tamarappoo; Daniel S. Berman; Damini Dey; Ioannis A. Kakadiaris (ISBI, 2010)

Automated algorithm for atlas-based segmentation of the heart and pericardium from non-contrast CT. - Damini Dey; Amit Ramesh; Piotr J. Slomka; Ryo Nakazato; Victor Cheng; Guido Germano 002; Daniel S. Berman (Image Processing, 2010)

Knowledge-based quantification of pericardial fat in non-contrast CT data. - Raja P. Yalamanchili; Damini Dey; Uday Kurkure; Ryo Nakazato; Daniel S. Berman; Ioannis A. Kakadiaris (Image Processing, 2010)

Cascaded regression for CT slice localization. - Olga C. Avila-Montes; Uday Kurkure; Ryo Nakazato; Daniel S. Berman; Damini Dey; Ioannis A. Kakadiaris (ISBI, 2011)

Automatic detection of significant and subtle arterial lesions from coronary CT angiography. - Dongwoo Kang; Piotr J. Slomka; Ryo Nakazato; Victor Cheng; James K. Min; Debiao Li; Daniel S. Berman; C.-C. Jay Kuo; Damini Dey (Image Processing, 2012)

Feasibility of determining myocardial transient ischemic dilation from cardiac CT by automated stress/rest registration. - Jonghye Woo; Piotr J. Slomka; Ryo Nakazato; Balaji Tamarappoo; James K. Min; Guido Germano 002; Daniel S. Berman; Damini Dey (Image Processing, 2012)

Heart chambers and whole heart segmentation techniques: review. - Dongwoo Kang; Jonghye Woo; Piotr J. Slomka; Damini Dey; Guido Germano 002; C.-C. Jay Kuo (J. Electronic Imaging, 2012)

Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm. - Dongwoo Kang; Piotr J. Slomka; Ryo Nakazato; Jonghye Woo; Daniel S. Berman; C.-C. Jay Kuo; Damini Dey (Image Processing, 2013)

Segmentation of the Thoracic Aorta in Noncontrast Cardiac CT Images. - Olga C. Avila-Montes; Uday Kurkure; Ryo Nakazato; Daniel S. Berman; Damini Dey; Ioannis A. Kakadiaris (IEEE J. Biomed. Health Informatics, 2013)

Automated epicardial fat volume quantification from non-contrast CT. - Xiaowei Ding; Demetri Terzopoulos; Mariana Diaz-Zamudio; Daniel S. Berman; Piotr J. Slomka; Damini Dey (Image Processing, 2014)

Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm. - Xiaowei Ding; Piotr J. Slomka; Mariana Diaz-Zamudio; Guido Germano 002; Daniel S. Berman; Demetri Terzopoulos; Damini Dey (Image Processing, 2015)

Automated Pericardial Fat Quantification from Coronary Magnetic Resonance Angiography. - Xiaowei Ding; Jianing Pang; Zhou Ren; Mariana Diaz-Zamudio; Daniel S. Berman; Debiao Li; Demetri Terzopoulos; Piotr J. Slomka; Damini Dey (MIUA, 2015)

Automatic detection of cardiovascular risk in CT attenuation correction maps in Rb-82 PET/CTs. - Ivana Isgum; Bob D. de Vos; Jelmer M. Wolterink; Damini Dey; Daniel S. Berman; Mathieu Rubeaux; Tim Leiner; Piotr J. Slomka (Image Processing, 2016)

Demons versus level-set motion registration for coronary 18F-sodium fluoride PET. - Mathieu Rubeaux; Nikhil Joshi; Marc R. Dweck; Alison Fletcher; Manish Motwani; Louise E. Thomson; Guido Germano 002; Damini Dey; Daniel S. Berman; David E. Newby; Piotr J. Slomka (Image Processing, 2016)

Calcium removal from cardiac ct images using deep convolutional neural network. - Siming Yan; Feng Shi 001; Yuhua Chen; Damini Dey; Sang-Eun Lee; Hyuk-Jae Chang; Debiao Li; Yibin Xie (ISBI, 2018)

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT. - Frederic Commandeur; Markus Goeller; Julián Betancur; Sebastien Cadet; Mhairi Doris; Xi Chen 053; Daniel S. Berman; Piotr J. Slomka; Balaji Tamarappoo; Damini Dey (IEEE Trans. Medical Imaging, 2018)

Deep learning-based stenosis quantification from coronary CT angiography. - Youngtaek Hong; Frederic Commandeur; Sebastien Cadet; Markus Goeller; Mhairi Doris; Xi Chen 053; Jacek Kwiecinski; Daniel S. Berman; Piotr J. Slomka; Hyuk-Jae Chang; Damini Dey (Image Processing, 2019)

Intracranial Vessel Wall Segmentation Using Convolutional Neural Networks. - Feng Shi 001; Qi Yang; Xiuhai Guo; Touseef Ahmad Qureshi; Zixiao Tian; Huijuan Miao; Damini Dey; Debiao Li; Zhaoyang Fan (IEEE Trans. Biomed. Eng., 2019)

Rapid quantification of COVID-19 pneumonia burden from computed tomography with convolutional LSTM networks. - Kajetan Grodecki; Aditya Killekar; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Judit Simon; Pál Maurovich-Horvat; Nicola Gaibazzi; et al. (CoRR, 2021)

COVID-19 lesion segmentation using convolutional LSTM for self-attention. - Aditya Killekar; Kajetan Grodecki; Andrew Lin; Sebastien Cadet; Priscilla McElhinney; Aryabod Razipour; Cato Chan; Barry D. Pressman; Peter Julien; Peter Chen; Judit Simon; Nitesh Nerlekar; et al. (Image Processing, 2022)

Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. - Konrad Pieszko; Aakash D. Shanbhag; Aditya Killekar; Mark Lemley; Yuka Otaki; Serge D. Van Kriekinge; Paul Kavanagh; Robert J. H. Miller; Edward J. Miller; Timothy M. Bateman; Damini Dey; Daniel S. Berman; et al. (Image Processing, 2022)

Handling missing values in machine learning to predict patient-specific risk of adverse cardiac events: Insights from REFINE SPECT registry. - Richard Ríos; Robert J. H. Miller; Nipun Manral; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; Philipp A. Kaufmann; Albert J. Sinusas; Edward J. Miller; Timothy M. Bateman; Sharmila Dorbala; et al. (Comput. Biol. Medicine, 2022)

Transferring deep convolutional network representations from SPECT to improve PET cardiac outcome prediction. - Bryan P. Bednarski; Aakash D. Shanbhag; Ananya Singh; Robert J. H. Miller; Heidi Gransar; Keiichiro Kuronuma; Tali Sharir; Sharmila Dorbala; Marcelo Di Carli; Matthews B. Fish; Terrence D. Ruddy; Daniel S. Berman; et al. (Image Processing, 2023)

Pseudo-contrast cardiac CT angiography derived from non-contrast CT using conditional generative adversarial networks. - Aditya Killekar; Jacek Kwiecinski; Mariusz Kruk; Cezary Kepka; Aakash D. Shanbhag; Damini Dey; Piotr J. Slomka (Image Processing, 2023)

Direct head-to-head comparison of convolutional long short-term memory and transformer networks for artificial Intelligence-based quantification of atherosclerotic plaque and stenosis from coronary CT angiography. - Nipun Manral; Andrew Lin; Caroline Park; Priscilla McElhinney; Aditya Killekar; Hidenari Matsumoto; Jacek Kwiecinski; Konrad Pieszko; Aryabod Razipour; Kajetan Grodecki; Mhairi Doris; Alan C. Kwan; et al. (Image Processing, 2023)

Comparative analysis between convolutional long short-term memory networks and vision transformers for coronary calcium scoring in non-contrast CT. - Aakash D. Shanbhag; Konrad Pieszko; Robert J. H. Miller; Aditya Killekar; Waechter Parker; Heidi Gransar; Michelle Williams; Daniel S. Berman; Damini Dey; Piotr J. Slomka (Image Processing, 2023)

Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. - Konrad Pieszko; Aakash D. Shanbhag; Ananya Singh; M. Timothy Hauser; Robert J. H. Miller; Joanna X. Liang; Manish Motwani; Jacek Kwiecinski; Tali Sharir; Andrew J. Einstein; Mathews Fish; Terrence D. Ruddy; et al. (npj Digit. Medicine, 2023)

AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. - Robert J. H. Miller; Aakash D. Shanbhag; Aditya Killekar; Mark Lemley; Bryan P. Bednarski; Serge D. Van Kriekinge; Paul Kavanagh; Attila Feher; Edward J. Miller; Andrew J. Einstein; Terrence D. Ruddy; Joanna X. Liang; et al. (npj Digit. Medicine, 2024)

World of Forms: Deformable geometric templates for one-shot surface meshing in coronary CT angiography. - Rudolf L. M. van Herten; Ioannis Lagogiannis; Jelmer M. Wolterink; Steffen Bruns; Eva R. Meulendijks; Damini Dey; Joris R. de Groot; José P. Henriques; R. N. Planken; Simone Saitta; Ivana Isgum (Medical Image Anal., 2025)

Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction. - Anna M. Marcinkiewicz; Wenhao Zhang; Aakash D. Shanbhag; Robert J. H. Miller; Mark Lemley; Giselle Ramirez; Mikolaj Buchwald; Aditya Killekar; Paul Kavanagh; Attila Feher; Edward J. Miller; Andrew J. Einstein; et al. (npj Digit. Medicine, 2025)