Computational Imaging Research Center

2022

Reply to “The Matrix Is Not Ready for Screening Mammography”

Lamb, L. R., Lehman, C. D., Gastounioti, A., Conant, E. F. & Bahl, M., Sep 2022, In: American Journal of Roentgenology. 219, 3, p. 528 1 p.

Research output: Contribution to journal › Letter › peer-review

Schizophrenia Imaging Signatures and Their Associations With Cognition, Psychopathology, and Genetics in the General Population

Chand, G. B., Singhal, P., Dwyer, D. B., Wen, J., Erus, G., Doshi, J., Srinivasan, D., Mamourian, E., Varol, E., Sotiras, A., Hwang, G., Dazzan, P., Kahn, R. S., Schnack, H. G., Zanetti, M. V., Meisenzahl, E., Busatto, G. F., Crespo-Facorro, B., Pantelis, C. & Wood, S. J. & 15 others, Zhuo, C., Shinohara, R. T., Shou, H., Fan, Y., Koutsouleris, N., Kaczkurkin, A. N., Moore, T. M., Verma, A., Calkins, M. E., Gur, R. E., Gur, R. C., Ritchie, M. D., Satterthwaite, T. D., Wolf, D. H. & Davatzikos, C., Sep 2022, In: American Journal of Psychiatry. 179, 9, p. 650-660 11 p.

Research output: Contribution to journal › Article › peer-review

Open Access

21 Scopus citations

Separating Clinical and Subclinical Depression by Big Data Informed Structural Vulnerability Index and Its impact on Cognition: ENIGMA Dot Product

Kochunov, P., Ma, Y., Hatch, K. S., Schmaal, L., Jahanshad, N., Thompson, P. M., Adhikari, B. M., Bruce, H., Chiappelli, J., Van der Vaart, A., Goldwaser, E. L., Sotiras, A., Ma, T., Chen, S., Nichols, T. E. & Hong, L. E., Jan 1 2022, In: Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing. 27, p. 133-143 11 p.

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

Shared brain and genetic architectures between mental health and physical activity

Zhang, W., Paul, S. E., Winkler, A., Bogdan, R. & Bijsterbosch, J. D., Dec 2022, In: Translational psychiatry. 12, 1, 428.

Research output: Contribution to journal › Article › peer-review

Open Access

3 Scopus citations

Synthesizing pseudo-T2w images to recapture missing data in neonatal neuroimaging with applications in rs-fMRI

Kaplan, S., Perrone, A., Alexopoulos, D., Kenley, J. K., Barch, D. M., Buss, C., Elison, J. T., Graham, A. M., Neil, J. J., O'Connor, T. G., Rasmussen, J. M., Rosenberg, M. D., Rogers, C. E., Sotiras, A., Fair, D. A. & Smyser, C. D., Jun 2022, In: NeuroImage. 253, 119091.

Research output: Contribution to journal › Article › peer-review

Open Access

3 Scopus citations

The Computational and Neural Substrates of Ambiguity Avoidance in Anxiety

Lawrance, E. L., Gagne, C. R., O’reilly, J. X., Bijsterbosch, J. & Bishop, S. J., 2022, In: Computational Psychiatry. 6, 1, p. 8-33 26 p.

Research output: Contribution to journal › Article › peer-review

Open Access

5 Scopus citations

The Role of Analytical Flexibility in Determining Mental Health Biomarkers

Bijsterbosch, J., Oct 2022, In: Biological Psychiatry Global Open Science. 2, 4, p. 316-318 3 p.

Research output: Contribution to journal › Comment/debate

Open Access

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

Bakas, S., Sako, C., Akbari, H., Bilello, M., Sotiras, A., Shukla, G., Rudie, J. D., Santamaría, N. F., Kazerooni, A. F., Pati, S., Rathore, S., Mamourian, E., Ha, S. M., Parker, W., Doshi, J., Baid, U., Bergman, M., Binder, Z. A., Verma, R. & Lustig, R. A. & 12 others, Desai, A. S., Bagley, S. J., Mourelatos, Z., Morrissette, J., Watt, C. D., Brem, S., Wolf, R. L., Melhem, E. R., Nasrallah, M. L. P., Mohan, S., O’Rourke, D. M. & Davatzikos, C., Dec 2022, In: Scientific data. 9, 1, 453.

Research output: Contribution to journal › Article › peer-review

Open Access

41 Scopus citations

Timing and Type of Early Psychopathology Symptoms Predict Longitudinal Change in Cortical Thickness From Middle Childhood Into Early Adolescence

Luking, K. R., Jirsaraie, R. J., Tillman, R., Luby, J. L., Barch, D. M. & Sotiras, A., Apr 2022, In: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging. 7, 4, p. 397-405 9 p.

Research output: Contribution to journal › Article › peer-review

Open Access

6 Scopus citations

Towards subpercentage uncertainty proton stopping-power mapping via dual-energy CT: Direct experimental validation and uncertainty analysis of a statistical iterative image reconstruction method

Medrano, M., Liu, R., Zhao, T., Webb, T., Politte, D. G., Whiting, B. R., Liao, R., Ge, T., Porras-Chaverri, M. A., O'Sullivan, J. A. & Williamson, J. F., Mar 2022, In: Medical physics. 49, 3, p. 1599-1618 20 p.

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

2021

A deep learning framework identifies dimensional representations of Alzheimer’s Disease from brain structure

ISTAGING Consortium, Baltimore Longitudinal Study of Aging (BLSA) & Alzheimer’s Disease Neuroimaging Initiative (ADNI), Dec 2021, In: Nature communications. 12, 1, 7065.

Research output: Contribution to journal › Article › peer-review

Open Access

44 Scopus citations

A limited number of slices yields comparable results to all slices in foot intrinsic muscle deterioration ratio on computed tomography and magnetic resonance imaging

Zellers, J. A., Commean, P. K., Chen, L., Mueller, M. J. & Hastings, M. K., Dec 2 2021, In: Journal of Biomechanics. 129, 110750.

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

A machine learning approach for the factorization of psychometric data with application to the Delis Kaplan Executive Function System

Camilleri, J. A., Eickhoff, S. B., Weis, S., Chen, J., Amunts, J., Sotiras, A. & Genon, S., Dec 2021, In: Scientific reports. 11, 1, 16896.

Research output: Contribution to journal › Article › peer-review

Open Access

4 Scopus citations

A multisite study of a breast density deep learning model for full-field digital mammography and synthetic mammography

Matthews, T. P., Singh, S., Mombourquette, B., Su, J., Shah, M. P., Pedemonte, S., Long, A., Maffit, D., Gurney, J., Hoil, R. M., Ghare, N., Smith, D., Moore, S., Marks, S. C. & Wahl, R. L., 2021, In: Radiology: Artificial Intelligence. 3, 1, e200015.

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Amyloid and Tau Pathology Associations With Personality Traits, Neuropsychiatric Symptoms, and Cognitive Lifestyle in the Preclinical Phases of Sporadic and Autosomal Dominant Alzheimer's Disease

Dominantly Inherited Alzheimer Network (DIAN) & PREVENT-AD Research Group, Apr 15 2021, In: Biological Psychiatry. 89, 8, p. 776-785 10 p.

Research output: Contribution to journal › Article › peer-review

Open Access

36 Scopus citations

Association of toe-extension movement pattern magnitude and variability during three functional tasks with diabetic foot complications

Zellers, J. A., Bernhardson, H. J., Jeong, H. J., Commean, P. K., Chen, L., Mueller, M. J. & Hastings, M. K., May 2021, In: Clinical Biomechanics. 85, 105371.

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Beyond the AJR: “External evaluation of 3 commercial artificial intelligence algorithms for independent assessment of screening mammograms”

Gastounioti, A. & Conant, E. F., Jun 2021, In: American Journal of Roentgenology. 216, 6, p. 1436 1 p.

Research output: Contribution to journal › Comment/debate

1 Scopus citations

BrainTumorNet: Multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images

Chakrabarty, S., Sotiras, A., Milchenko, M., Lamontagne, P., Abraham, C., Robinson, C. & Marcus, D., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, 115960K. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Centering inclusivity in the design of online conferences - An OHBM-Open Science perspective

Levitis, E., Van Praag, C. D. G., Gau, R., Heunis, S., Dupre, E., Kiar, G., Bottenhorn, K. L., Glatard, T., Nikolaidis, A., Whitaker, K. J., Mancini, M., Niso, G., Afyouni, S., Alonso-Ortiz, E., Appelhoff, S., Arnatkeviciute, A., Atay, S. M., Auer, T., Baracchini, G. & Bayer, J. M. M. & 90 others, Beauvais, M. J. S., Bijsterbosch, J. D., Bilgin, I. P., Bollmann, S., Bollmann, S., Botvinik-Nezer, R., Bright, M. G., Calhoun, V. D., Chen, X., Chopra, S., Chuan-Peng, H., Close, T. G., Cookson, S. L., Craddock, R. C., De La Vega, A., De Leener, B., Demeter, D. V., Di Maio, P., Dickie, E. W., Eickhoff, S. B., Esteban, O., Finc, K., Frigo, M., Ganesan, S., Ganz, M., Garner, K. G., Garza-Villarreal, E. A., Gonzalez-Escamilla, G., Goswami, R., Griffiths, J. D., Grootswagers, T., Guay, S., Guest, O., Handwerker, D. A., Herholz, P., Heuer, K., Huijser, D. C., Iacovella, V., Joseph, M. J. E., Karakuzu, A., Keator, D. B., Kobeleva, X., Kumar, M., Laird, A. R., Larson-Prior, L. J., Lautarescu, A., Lazari, A., Legarreta, J. H., Li, X. Y., Lv, J., Mansour L., S., Meunier, D., Moraczewski, D., Nandi, T., Nastase, S. A., Nau, M., Noble, S., Norgaard, M., Obungoloch, J., Oostenveld, R., Orchard, E. R., Pinho, A. L., Poldrack, R. A., Qiu, A., Raamana, P. R., Rokem, A., Rutherford, S., Sharan, M., Shaw, T. B., Syeda, W. T., Testerman, M. M., Toro, R., Valk, S. L., Van Den Bossche, S., Varoquaux, G., Váša, F., Veldsman, M., Vohryzek, J., Wagner, A. S., Walsh, R. J., White, T., Wong, F. T., Xie, X., Yan, C. G., Yang, Y. F., Yee, Y., Zanitti, G. E., Van Gulick, A. E., Duff, E. & Maumet, C., Aug 1 2021, In: GigaScience. 10, 8, giab051.

Research output: Contribution to journal › Review article › peer-review

Open Access

15 Scopus citations

Correction to: Functional 4-D clustering for characterizing intratumor heterogeneity in dynamic imaging: evaluation in FDG PET as a prognostic biomarker for breast cancer (European Journal of Nuclear Medicine and Molecular Imaging, (2021), 48, 12, (3990-4001), 10.1007/s00259-021-05265-8)

Chitalia, R., Viswanath, V., Pantel, A. R., Peterson, L. M., Gastounioti, A., Cohen, E. A., Muzi, M., Karp, J., Mankoff, D. A. & Kontos, D., Nov 2021, In: European Journal of Nuclear Medicine and Molecular Imaging. 48, 12, p. 4109 1 p.

Research output: Contribution to journal › Comment/debate

Open Access

Deep-LIBRA: An artificial-intelligence method for robust quantification of breast density with independent validation in breast cancer risk assessment

Haji Maghsoudi, O., Gastounioti, A., Scott, C., Pantalone, L., Wu, F. F., Cohen, E. A., Winham, S., Conant, E. F., Vachon, C. & Kontos, D., Oct 2021, In: Medical Image Analysis. 73, 102138.

Research output: Contribution to journal › Article › peer-review

Open Access

33 Scopus citations

De-identification procedures for magnetic resonance images and the impact on structural brain measures at different ages

Alzheimer's Disease Neuroimaging Initiative, Aug 1 2021, In: Human Brain Mapping. 42, 11, p. 3643-3655 13 p.

Research output: Contribution to journal › Article › peer-review

Open Access

9 Scopus citations

Developing methods to detect and diagnose chronic traumatic encephalopathy during life: rationale, design, and methodology for the DIAGNOSE CTE Research Project

for the DIAGNOSE CTE Research Project Investigators, Dec 2021, In: Alzheimer's Research and Therapy. 13, 1, 136.

Research output: Contribution to journal › Article › peer-review

Open Access

34 Scopus citations

Extracorporeal photopheresis to attenuate decline in lung function due to refractory obstructive allograft dysfunction

The EPI Study Group, Aug 2021, In: Transfusion Medicine. 31, 4, p. 292-302 11 p.

Research output: Contribution to journal › Article › peer-review

Open Access

7 Scopus citations

Fully automated volumetric breast density estimation from digital breast tomosynthesis

Gastounioti, A., Pantalone, L., Scott, C. G., Cohen, E. A., Wu, F. F., Winham, S. J., Jensen, M. R., Maidment, A. D. A., Vachon, C. M., Conant, E. F. & Kontos, D., Dec 2021, In: Radiology. 301, 3, p. 561-568 8 p.

Research output: Contribution to journal › Article › peer-review

24 Scopus citations

Functional 4-D clustering for characterizing intratumor heterogeneity in dynamic imaging: evaluation in FDG PET as a prognostic biomarker for breast cancer

Chitalia, R., Viswanath, V., Pantel, A. R., Peterson, L. M., Gastounioti, A., Cohen, E. A., Muzi, M., Karp, J., Mankoff, D. A. & Kontos, D., Nov 2021, In: European Journal of Nuclear Medicine and Molecular Imaging. 48, 12, p. 3990-4001 12 p.

Research output: Contribution to journal › Article › peer-review

Open Access

8 Scopus citations

Hierarchical modelling of functional brain networks in population and individuals from big fMRI data

Farahibozorg, S. R., Bijsterbosch, J. D., Gong, W., Jbabdi, S., Smith, S. M., Harrison, S. J. & Woolrich, M. W., Nov 2021, In: NeuroImage. 243, 118513.

Research output: Contribution to journal › Article › peer-review

Open Access

4 Scopus citations

Incorporating robustness to imaging physics into radiomic feature selection for breast cancer risk estimation

Acciavatti, R. J., Cohen, E. A., Maghsoudi, O. H., Gastounioti, A., Pantalone, L., Hsieh, M. K., Conant, E. F., Scott, C. G., Winham, S. J., Kerlikowske, K., Vachon, C., Maidment, A. D. A. & Kontos, D., Nov 1 2021, In: Cancers. 13, 21, 5497.

Research output: Contribution to journal › Article › peer-review

Open Access

4 Scopus citations

Interactive machine learning-based multi-label segmentation of solid tumors and organs

Bounias, D., Singh, A., Bakas, S., Pati, S., Rathore, S., Akbari, H., Bilello, M., Greenberger, B. A., Lombardo, J., Chitalia, R. D., Jahani, N., Gastounioti, A., Hershman, M., Roshkovan, L., Katz, S. I., Yousefi, B., Lou, C., Simpson, A. L., Do, R. K. G. & Shinohara, R. T. & 3 others, Kontos, D., Nikita, K. & Davatzikos, C., Aug 2 2021, In: Applied Sciences (Switzerland). 11, 16, 7488.

Research output: Contribution to journal › Article › peer-review

Open Access

5 Scopus citations

Machine Learning Analytics of Resting-State Functional Connectivity Predicts Survival Outcomes of Glioblastoma Multiforme Patients

Lamichhane, B., Daniel, A. G. S., Lee, J. J., Marcus, D. S., Shimony, J. S. & Leuthardt, E. C., Feb 22 2021, In: Frontiers in Neurology. 12, 642241.

Research output: Contribution to journal › Article › peer-review

Open Access

14 Scopus citations

Modeling autosomal dominant Alzheimer's disease with machine learning

for the Dominantly Inherited Alzheimer Network (DIAN), Jun 2021, In: Alzheimer's and Dementia. 17, 6, p. 1005-1016 12 p.

Research output: Contribution to journal › Article › peer-review

Open Access

13 Scopus citations

MRI-based identification and classification of major intracranial tumor types by using a 3D convolutional neural network: A retrospective multi-institutional analysis

Chakrabarty, S., Sotiras, A., Milchenko, M., Lamontagne, P., Hileman, M. & Marcus, D., Sep 2021, In: Radiology: Artificial Intelligence. 3, 5, e200301.

Research output: Contribution to journal › Article › peer-review

Open Access

30 Scopus citations

Neurocognitive and functional heterogeneity in depressed youth

Baller, E. B., Kaczkurkin, A. N., Sotiras, A., Adebimpe, A., Bassett, D. S., Calkins, M. E., Chand, G. B., Cui, Z., Gur, R. E., Gur, R. C., Linn, K. A., Moore, T. M., Roalf, D. R., Varol, E., Wolf, D. H., Xia, C. H., Davatzikos, C. & Satterthwaite, T. D., Mar 2021, In: Neuropsychopharmacology. 46, 4, p. 783-790 8 p.

Research output: Contribution to journal › Article › peer-review

Open Access

13 Scopus citations

Qualitative study of musculoskeletal tissues and their radiographic correlates in diabetic neuropathic foot deformity

Hastings, M. K., Commean, P. K., Chen, L., Zellers, J. A., Sinacore, D. R. & Baker, J. C., Jun 2021, In: Foot. 47, 101777.

Research output: Contribution to journal › Article › peer-review

Open Access

2 Scopus citations

Recent developments in representations of the connectome

Bijsterbosch, J. D., Valk, S. L., Wang, D. & Glasser, M. F., Nov 2021, In: NeuroImage. 243, 118533.

Research output: Contribution to journal › Review article › peer-review

Open Access

15 Scopus citations

Reducing motion artifact in sequential-scan dual-energy CT imaging by incorporating deformable registration within joint statistical image reconstruction

Ge, T., Liao, R., Politte, D. G., Medrano, M., Williamson, J., Whiting, B. R., Zhao, T. & O'Sullivan, J. A., 2021, In: IS and T International Symposium on Electronic Imaging Science and Technology. 2021, 15

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease

Smith, R. X., Strain, J. F., Tanenbaum, A., Fagan, A. M., Hassenstab, J., McDade, E., Schindler, S. E., Gordon, B. A., Xiong, C., Chhatwal, J., Jack, C., Karch, C., Berman, S., Brosch, J. R., Lah, J. J., Brickman, A. M., Cash, D. M., Fox, N. C., Graff-Radford, N. R. & Levin, J. & 11 others, Noble, J., Holtzman, D. M., Masters, C. L., Farlow, M. R., Laske, C., Schofield, P. R., Marcus, D. S., Morris, J. C., Benzinger, T. L. S., Bateman, R. J. & Ances, B. M., Apr 2021, In: Brain connectivity. 11, 3, p. 239-249 11 p.

Research output: Contribution to journal › Article › peer-review

Open Access

14 Scopus citations

Resting-State Functional Connectivity Predicts STN DBS Clinical Response

Younce, J. R., Campbell, M. C., Hershey, T., Tanenbaum, A. B., Milchenko, M., Ushe, M., Karimi, M., Tabbal, S. D., Kim, A. E., Snyder, A. Z., Perlmutter, J. S. & Norris, S. A., Mar 2021, In: Movement Disorders. 36, 3, p. 662-671 10 p.

Research output: Contribution to journal › Article › peer-review

Open Access

25 Scopus citations

The Brain Chart of Aging: Machine-learning analytics reveals links between brain aging, white matter disease, amyloid burden, and cognition in the iSTAGING consortium of 10,216 harmonized MR scans

for the iSTAGING consortium, the Preclinical AD consortium, the ADNI, and the CARDIA studies, Jan 2021, In: Alzheimer's and Dementia. 17, 1, p. 89-102 14 p.

Research output: Contribution to journal › Article › peer-review

Open Access

88 Scopus citations

The Human Connectome Project: A retrospective

Elam, J. S., Glasser, M. F., Harms, M. P., Sotiropoulos, S. N., Andersson, J. L. R., Burgess, G. C., Curtiss, S. W., Oostenveld, R., Larson-Prior, L. J., Schoffelen, J. M., Hodge, M. R., Cler, E. A., Marcus, D. M., Barch, D. M., Yacoub, E., Smith, S. M., Ugurbil, K. & Van Essen, D. C., Dec 1 2021, In: NeuroImage. 244, 118543.

Research output: Contribution to journal › Review article › peer-review

Open Access

103 Scopus citations

The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research

Mohammadian Foroushani, H., Dhar, R., Chen, Y., Gurney, J., Hamzehloo, A., Lee, J. M. & Marcus, D. S., Jun 24 2021, In: Frontiers in Neuroinformatics. 15, 597708.

Research output: Contribution to journal › Article › peer-review

Open Access

12 Scopus citations

2020

3D pediatric cranial bone imaging using high-resolution MRI for visualizing cranial sutures: A pilot study

Patel, K. B., Eldeniz, C., Skolnick, G. B., Jammalamadaka, U., Commean, P. K., Goyal, M. S., Smyth, M. D. & An, H., Sep 2020, In: Journal of Neurosurgery: Pediatrics. 26, 3, p. 311-317 7 p.

Research output: Contribution to journal › Article › peer-review

Open Access

16 Scopus citations

Accurate proton stopping power images reconstructed using joint statistical dual energy CT: Experimental verification and impact of fan-beam CT scatter

Medrano, M., Liu, R., Webb, T., Zhao, T., Williamson, J., Whiting, B., Politte, D. G., Porras-Chaverri, M. & O’Sullivan, J. A., 2020, Medical Imaging 2020: Physics of Medical Imaging. Chen, G.-H. & Bosmans, H. (eds.). SPIE, 113121S. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11312).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

A feasibility study to evaluate early treatment response of brain metastases one week after stereotactic radiosurgery using perfusion weighted imaging

Huang, J., Milchenko, M., Rao, Y. J., LaMontagne, P., Abraham, C., Robinson, C. G., Huang, Y., Shimony, J. S., Rich, K. M. & Benzinger, T., Nov 2020, In: PloS one. 15, 11 November, e0241835.

Research output: Contribution to journal › Article › peer-review

Open Access

4 Scopus citations

AI-based prognostic imaging biomarkers for precision neuro-oncology: The ReSPOND consortium

Davatzikos, C., Barnholtz-Sloan, J. S., Bakas, S., Colen, R., Mahajan, A., Quintero, C. B., Capellades Font, J., Puig, J., Jain, R., Sloan, A. E., Badve, C., Marcus, D. S., Seong Choi, Y., Lee, S. K., Chang, J. H., Poisson, L. M., Griffith, B., Dicker, A. P., Flanders, A. E. & Booth, T. C. & 12 others, Rathore, S., Akbari, H., Sako, C., Bilello, M., Shukla, G., Fathi Kazerooni, A., Brem, S., Lustig, R., Mohan, S., Bagley, S., Nasrallah, M. & O'Rourke, D. M., Jun 9 2020, In: Neuro-oncology. 22, 6, p. 886-888 3 p.

Research output: Contribution to journal › Letter › peer-review

Open Access

36 Scopus citations

Approaches to Defining Common and Dissociable Neurobiological Deficits Associated With Psychopathology in Youth

Kaczkurkin, A. N., Moore, T. M., Sotiras, A., Xia, C. H., Shinohara, R. T. & Satterthwaite, T. D., Jul 1 2020, In: Biological Psychiatry. 88, 1, p. 51-62 12 p.

Research output: Contribution to journal › Review article › peer-review

Open Access

26 Scopus citations

Automatic breast segmentation in digital mammography using a convolutional neural network

Maghsoudi, O. H., Gastounioti, A., Pantalone, L., Conant, E. & Kontos, D., 2020, 15th International Workshop on Breast Imaging, IWBI 2020. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). SPIE, 1151322. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11513).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults

Milchenko, M., Lamontagne, P. & Marcus, D., 2020, Medical Imaging 2020: Computer-Aided Diagnosis. Hahn, H. K. & Mazurowski, M. A. (eds.). SPIE, 113140F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11314).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Brain extraction on MRI scans in presence of diffuse glioma: Multi-institutional performance evaluation of deep learning methods and robust modality-agnostic training

Thakur, S., Doshi, J., Pati, S., Rathore, S., Sako, C., Bilello, M., Ha, S. M., Shukla, G., Flanders, A., Kotrotsou, A., Milchenko, M., Liem, S., Alexander, G. S., Lombardo, J., Palmer, J. D., LaMontagne, P., Nazeri, A., Talbar, S., Kulkarni, U. & Marcus, D. & 4 others, Colen, R., Davatzikos, C., Erus, G. & Bakas, S., Oct 15 2020, In: NeuroImage. 220, 117081.

Research output: Contribution to journal › Article › peer-review

Open Access

43 Scopus citations

Calculation of radiomic features to validate the textural realism of physical anthropomorphic phantoms for digital mammography

Acciavatti, R. J., Cohen, E. A., Haji Maghsoudi, O., Gastounioti, A., Pantalone, L., Hsieh, M. K., Barufaldi, B., Bakic, P. R., Chen, J., Conant, E. F., Kontos, D. & Maidment, A. D. A., 2020, 15th International Workshop on Breast Imaging, IWBI 2020. Bosmans, H., Marshall, N. & Van Ongeval, C. (eds.). SPIE, 1151309. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11513).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Computational Imaging Research Center

Research output

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