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2. A Human-Centered Approach for Bootstrapping Causal Graph Creation

Author

Tram, Minh Q., Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Robotics
Abstract

Causal inference, a cornerstone in disciplines such as economics, genomics, and medicine, is increasingly being recognized as fundamental to advancing the field of robotics. In particular, the ability to reason about cause and effect from observational data is crucial for robust generalization in robotic systems. However, the construction of a causal graphical model, a mechanism for representing causal relations, presents an immense challenge. Currently, a nuanced grasp of causal inference, coupled with an understanding of causal relationships, must be manually programmed into a causal graphical model. To address this difficulty, we present initial results towards a human-centered augmented reality framework for creating causal graphical models. Concretely, our system bootstraps the causal discovery process by involving humans in selecting variables, establishing relationships, performing interventions, generating counterfactual explanations, and evaluating the resulting causal graph at every step. We highlight the potential of our framework via a physical robot manipulator on a pick-and-place task., Comment: To be presented at the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI) Workshop on Causal Learning for Human-Robot Interaction (Causal-HRI)

Published
2024

6. MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration

Author

Lyu, Zongyao, Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Open-set recognition refers to the problem in which classes that were not seen during training appear at inference time. This requires the ability to identify instances of novel classes while maintaining discriminative capability for closed-set classification. OpenMax was the first deep neural network-based approach to address open-set recognition by calibrating the predictive scores of a standard closed-set classification network. In this paper we present MetaMax, a more effective post-processing technique that improves upon contemporary methods by directly modeling class activation vectors. MetaMax removes the need for computing class mean activation vectors (MAVs) and distances between a query image and a class MAV as required in OpenMax. Experimental results show that MetaMax outperforms OpenMax and is comparable in performance to other state-of-the-art approaches., Comment: To be presented at the 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshop on Dealing with Novelty in Open Worlds (DNOW)

Published
2022

8. Evaluating Uncertainty Calibration for Open-Set Recognition

Author

Lyu, Zongyao, Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Robotics
Abstract

Despite achieving enormous success in predictive accuracy for visual classification problems, deep neural networks (DNNs) suffer from providing overconfident probabilities on out-of-distribution (OOD) data. Yet, accurate uncertainty estimation is crucial for safe and reliable robot autonomy. In this paper, we evaluate popular calibration techniques for open-set conditions in a way that is distinctly different from the conventional evaluation of calibration methods on OOD data. Our results show that closed-set DNN calibration approaches are much less effective for open-set recognition, which highlights the need to develop new DNN calibration methods to address this problem., Comment: To be presented at the 2022 IEEE International Conference on Robotics and Automation (ICRA) Workshop on Safe and Reliable Robot Autonomy under Uncertainty

Published
2022

9. Interleukin (IL)-1/IL-6-Inhibitor–Associated Drug Reaction With Eosinophilia and Systemic Symptoms (DReSS) in Systemic Inflammatory Illnesses

Author

Aamir, R., Abulaban, K., Adams, A., Lapsia, C. Aguiar, Akinsete, A., Akoghlanian, S., Al Manaa, M., AlBijadi, A., Allenspach, E., Almutairi, A., Alperin, R., Amarilyo, G., Ambler, W., Amoruso, M., Angeles-Han, S., Ardoin, S., Armendariz, S., Asfaw, L., Aviran Dagan, N., Bacha, C., Balboni, I., Balevic, S., Ballinger, S., Baluta, S., Barillas-Arias, L., Basiaga, M., Baszis, K., Baxter, S., Becker, M., Begezda, A., Behrens, E., Beil, E., Benseler, S., Bermudez-Santiago, L., Bernal, W., Bigley, T., Bingham, C., Binstadt, B., Black, C., Blackmon, B., Blakley, M., Bohnsack, J., Boneparth, A., Bradfield, H., Bridges, J., Brooks, E., Brothers, M., Brunner, H., Buckley, L., Buckley, M., Bukulmez, H., Bullock, D., Canna, S., Cannon, L., Canny, S., Cartwright, V., Cassidy, E., Castro, D., Chalom, E., Chang, J., Chang, M., Chang-Hoftman, A., Chen, A., Chiraseveenuprapund, P., Ciaglia, K., Co, D., Cohen, E., Collinge, J., Conlon, H., Connor, R., Cook, K., Cooper, A., Cooper, J., Corbin, K., Correll, C., Cron, R., Curry, M., Dalrymple, A., Datyner, E., Davis, T., De Ranieri, D., Dean, J., DeCoste, C., Dedeoglu, F., DeGuzman, M., Delnay, N., DeSantis, E., Devine, R., Dhalla, M., Dhanrajani, A., Dissanayake, D., Dizon, B., Drapeau, N., Drew, J., Driest, K., Du, Q., Duncan, E., Dunnock, K., Durkee, D., Dvergsten, J., Eberhard, A., Ede, K., Edelheit, B., Edens, C., El Tal, T., Elder, M., Elzaki, Y., Fadrhonc, S., Failing, C., Fair, D., Favier, L., Feldman, B., Fennell, J., Ferguson, P., Ferguson, I., Figueroa, C., Flanagan, E., Fogel, L., Fox, E., Fox, M., Franklin, L., Fuhlbrigge, R., Fuller, J., Furey, M., Futch-West, T., Gagne, S., Gennaro, V., Gerstbacher, D., Gilbert, M., Gironella, A., Glaser, D., Goh, I., Goldsmith, D., Gorry, S., Goswami, N., Gottlieb, B., Graham, T., Grevich, S., Griffin, T., Grim, A., Grom, A., Guevara, M., Hahn, T., Halyabar, O., Hamda Natur, M., Hammelev, E., Hammond, T., Harel, L., Harris, J., Harry, O., Hausmann, J., Hay, A., Hays, K., Hayward, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horton, D., Horwitz, M., Hsu, J., Huber, A., Huberts, A., Huggins, J., Huie, L., Hui-Yuen, J., Ibarra, M., Imlay, A., Imundo, L., Inman, C., Jackson, A., James, K., Janow, G., Jared, S., Jiang, Y., Johnson, L., Johnson, N., Jones, J., Kafisheh, D., Kahn, P., Kaidar, K., Kasinathan, S., Kaur, R., Kessler, E., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein-Gitelman, M., Knight, A., Kovalick, L., Kramer, S., Kremer, C., Kudas, O., LaFlam, T., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Lawler, C., Lawson, E., Laxer, R., Lee, P., Lee, T., Lee, A., Leisinger, E., Lentini, L., Lerman, M., Levinsky, Y., Levy, D., Li, S., Lieberman, S., Lim, L., Limenis, E., Lin, C., Ling, N., Lionetti, G., Livny, R., Lloyd, M., Lo, M., Long, A., Lopez-Peña, M., Lovell, D., Luca, N., Lvovich, S., Lytch, A., Ma, M., Machado, A., MacMahon, J., Madison, J., Mannion, M., Manos, C., Mansfield, L., Marston, B., Mason, T., Matchett, D., McAllister, L., McBrearty, K., McColl, J., McCurdy, D., McDaniels, K., McDonald, J., Meidan, E., Mellins, E., Mian, Z., Miettunen, P., Miller, M., Milojevic, D., Mitacek, R., Modica, R., Mohan, S., Moore, T., Moore, K., Moorthy, L., Moreno, J., Morgan, E., Moyer, A., Murante, B., Murphy, A., Muscal, E., Mwizerwa, O., Najafi, A., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Nearanz, K., Neely, J., Newhall, L., Nguyen, A., Nigrovic, P., Nocton, J., Nolan, B., Nowicki, K., Oakes, R., Oberle, E., Ogbonnaya-Whittesley, S., Ogbu, E., Oliver, M., Olveda, R., Onel, K., Orandi, A., Padam, J., Paller, A., Pan, N., Pandya, J., Panupattanapong, S., Toledano, A. Pappo, Parsons, A., Patel, J., Patel, P., Patrick, A., Patrizi, S., Paul, S., Perfetto, J., Perron, M., Peskin, M., Ponder, L., Pooni, R., Prahalad, S., Puplava, B., Quinlan-Waters, M., Rabinovich, C., Rafko, J., Rahimi, H., Rampone, K., Ramsey, S., Randell, R., Ray, L., Reed, A., Reid, H., Reiff, D., Richins, S., Riebschleger, M., Rife, E., Riordan, M., Riskalla, M., Robinson, A., Robinson, L., Rodgers, L., Rodriquez, M., Rogers, D., Ronis, T., Rosado, A., Rosenkranz, M., Rosenwasser, N., Rothermel, H., Rothman, D., Rothschild, E., Roth-Wojcicki, E., Rouster-Stevens, K., Rubinstein, T., Rupp, J., Ruth, N., Sabbagh, S., Sadun, R., Santiago, L., Saper, V., Sarkissian, A., Scalzi, L., Schahn, J., Schikler, K., Schlefman, A., Schmeling, H., Schmitt, E., Schneider, R., Schulert, G., Schultz, K., Schutt, C., Seper, C., Sheets, R., Shehab, A., Shenoi, S., Sherman, M., Shirley, J., Shishov, M., Siegel, D., Singer, N., Sivaraman, V., Sloan, E., Smith, C., Smith, J., Smitherman, E., Soep, J., Son, Mary B., Sosna, D., Spencer, C., Spiegel, L., Spitznagle, J., Srinivasalu, H., Stapp, H., Steigerwald, K., Stephens, A., Sterba Rakovchik, Y., Stern, S., Stevens, B., Stevenson, R., Stewart, K., Stewart, W., Stingl, C., Stoll, M., Stringer, E., Sule, S., Sullivan, J., Sundel, R., Sutter, M., Swaffar, C., Swayne, N., Syed, R., Symington, T., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Tesher, M., Thakurdeen, T., Theisen, A., Thomas, B., Thomas, L., Thomas, N., Ting, T., Todd, C., Toib, D., Torok, K., Tory, H., Toth, M., Tse, S., Tsin, C., Twachtman-Bassett, J., Twilt, M., Valcarcel, T., Valdovinos, R., Vallee, A., Van Mater, H., Vandenbergen, S., Vannoy, L., Varghese, C., Vasquez, N., Vega-Fernandez, P., Velez, J., Verbsky, J., Verstegen, R., von Scheven, E., Vora, S., Wagner-Weiner, L., Wahezi, D., Waite, H., Walker, B., Walters, H., Waterfield, M., Waters, A., Weiser, P., Weiss, P., Weiss, J., Wershba, E., Westheuser, V., White, A., Widrick, K., Williams, C., Wong, S., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yasin, S., Yeung, R., Yomogida, K., Zeft, A., Zhang, Y., Zhao, Y., Zhu, A., Saper, Vivian E., Tian, Lu, Verstegen, Ruud H.J., Conrad, Carol K., Cidon, Michal, Hopper, Rachel K., Kuo, Christin S., Osoegawa, Kazutoyo, Baszis, Kevin, Bingham, Catherine A., Ferguson, Ian, Hahn, Timothy, Horne, Annacarin, Isupova, Eugenia A., Jones, Jordan T., Kasapcopur, Özgür, Klein-Gitelman, Marisa S., Kostik, Mikhail M., Ozen, Seza, Phadke, Omkar, Prahalad, Sampath, Randell, Rachel L., Sener, Seher, Stingl, Cory, Abdul-Aziz, Rabheh, Akoghlanian, Shoghik, Al Julandani, Dalila, Alvarez, Marcela B., Bader-Meunier, Brigitte, Balay-Dustrude, Erin E., Balboni, Imelda, Baxter, Sarah K., Berard, Roberta A., Bhattad, Sagar, Bolaria, Roxana, Boneparth, Alexis, Cassidy, Elaine A., Co, Dominic O., Collins, Kathleen P., Dancey, Paul, Dickinson, Aileen M., Edelheit, Barbara S., Espada, Graciela, Flanagan, Elaine R., Imundo, Lisa F., Jindal, Ankur K., Kim, Hyoun-Ah, Klaus, Günter, Lake, Carol, Lapin, W. Blaine, Lawson, Erica F., Marmor, Itay, Mombourquette, Joy, Ogunjimi, Benson, Olveda, Rebecca, Ombrello, Michael J., Onel, Karen, Poholek, Catherine, Ramanan, Athimalaipet V., Ravelli, Angelo, Reinhardt, Adam, Robinson, Amanda D., Rouster-Stevens, Kelly, Saad, Nadine, Schneider, Rayfel, Selmanovic, Velma, Sefic Pasic, Irmina, Shenoi, Susan, Shilo, Natalie R., Soep, Jennifer B., Sura, Angeli, Taber, Sarah F., Tesher, Melissa, Tibaldi, Jessica, Torok, Kathryn S., Tsin, Cathy Mei, Vasquez-Canizares, Natalia, Villacis Nunez, Diana S., Way, Emily E., Whitehead, Benjamin, Zemel, Lawrence S., Sharma, Surbhi, Fernández-Viña, Marcelo A., and Mellins, Elizabeth D.

Published
2024
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11. Bleeding phenotype according to factor level in 825 children with nonsevere hemophilia: data from the PedNet cohort

Author

Alvarèz Román, M.T., Benitez Hidalgo, O., Blatny, J., Bührlen, M., Carvalho, M., Chambost, H., Rosa Cid, A., Oudot, C., Escuriola-Ettingshausen, C., Fischer, K., Van Geet, C., Glosli, H., Gretenkort Andersson, N., Ljung, R., Königs, C., Koskenvuo, M., Male, C., Stamm Mikkelsen, T., Molinari, A., Motwani, J., Nolan, B., d’Oiron, R., Oldenburg, J., Olivieri, M., Pergantou, H., Pinto, F., Ranta, S., Kartal-Kaess, M., Zápotocká, E., Kenet, G., Carcao, M., Rivard, G., de Kovel, Marloes S., Escuriola-Ettingshausen, Carmen, Königs, Christoph, Ranta, Susanna, and Fischer, Kathelijn

Published
2024
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13. Thermal Image Super-Resolution Using Second-Order Channel Attention with Varying Receptive Fields

Author

Gutierrez, Nolan B. and Beksi, William J.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Thermal images model the long-infrared range of the electromagnetic spectrum and provide meaningful information even when there is no visible illumination. Yet, unlike imagery that represents radiation from the visible continuum, infrared images are inherently low-resolution due to hardware constraints. The restoration of thermal images is critical for applications that involve safety, search and rescue, and military operations. In this paper, we introduce a system to efficiently reconstruct thermal images. Specifically, we explore how to effectively attend to contrasting receptive fields (RFs) where increasing the RFs of a network can be computationally expensive. For this purpose, we introduce a deep attention to varying receptive fields network (AVRFN). We supply a gated convolutional layer with higher-order information extracted from disparate RFs, whereby an RF is parameterized by a dilation rate. In this way, the dilation rate can be tuned to use fewer parameters thus increasing the efficacy of AVRFN. Our experimental results show an improvement over the state of the art when compared against competing thermal image super-resolution methods., Comment: To be published in the 2021 13th International Conference on Computer Vision Systems (ICVS)

Published
2021

14. An Uncertainty Estimation Framework for Probabilistic Object Detection

Author

Lyu, Zongyao, Gutierrez, Nolan B., and Beksi, William J.

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we introduce a new technique that combines two popular methods to estimate uncertainty in object detection. Quantifying uncertainty is critical in real-world robotic applications. Traditional detection models can be ambiguous even when they provide a high-probability output. Robot actions based on high-confidence, yet unreliable predictions, may result in serious repercussions. Our framework employs deep ensembles and Monte Carlo dropout for approximating predictive uncertainty, and it improves upon the uncertainty estimation quality of the baseline method. The proposed approach is evaluated on publicly available synthetic image datasets captured from sequences of video., Comment: To be published in the 2021 International Conference on Automation Science and Engineering (CASE)

Published
2021

17. Determinants of bleeding before and during immune tolerance in 222 boys with severe hemophilia A and inhibitors >5 BU

Author

Alvarèz Román, MT, Benitez Hidalgo, O, Blatny, J, Bührlen, M, Carvalho, M, Castaman, G, Chambost, H, Rosa Cid, A, Escuriola-Ettingshausen, C, Fischer, K, Van Geet, C, Gretenkort Andersson, N, Kartal-Kaess, M, Knudsen, H, Königs, C, Koskenvuo, M, Male, C, Stamm Mikkelsen, T, Molinari, A, Motwani, J, Nolan, B, d’Oiron, R, Oldenburg, J, Olivieri, M, Oudot, C, Pergantou, H, Pinto, F, Ranta, S, Zápotocká, E, Kenet, G, Carcao, M, Rivard, G, Fischer, Kathelijn, Kenet, Gili, Kurnik, Karin, Carcao, Manuel, Oldenburg, Johannes, Stamm-Mikkelsen, Torben, Cid Haro, Ana Rosa, Koskenvuo, Minna, Blatny, Jan, and Königs, Christoph

Published
2024
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24. Use of 3-dimensional printing at the point-of-care to manage a complex wound in hemifacial necrotizing fasciitis: a case report

Author

Sarah C. Nyirjesy, Ryan T. Judd, Yazen Alfayez, Peter Lancione, Brian Swendseid, Natalia von Windheim, Stephen Nogan, Nolan B. Seim, and Kyle K. VanKoevering

Subjects
Three-dimensional printing (3D), Negative pressure wound therapy, Wound Vac, Computer assisted design, Necrotizing fasciitis, Case report, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

Abstract Background Complex facial wounds can be difficult to stabilize due to proximity of vital structures. We present a case in which a patient-specific wound splint was manufactured using computer assisted design and three-dimensional printing at the point-of-care to allow for wound stabilization in the setting of hemifacial necrotizing fasciitis. We also describe the process and implementation of the United States Food and Drug Administration Expanded Access for Medical Devices Emergency Use mechanism. Case presentation A 58-year-old female presented with necrotizing fasciitis of the neck and hemiface. After multiple debridements, she remained critically ill with poor vascularity of tissue in the wound bed and no evidence of healthy granulation tissue and concern for additional breakdown towards the right orbit, mediastinum, and pretracheal soft tissues, precluding tracheostomy placement despite prolonged intubation. A negative pressure wound vacuum was considered for improved healing, but proximity to the eye raised concern for vision loss due to traction injury. As a solution, under the Food and Drug Administration’s Expanded Access for Medical Devices Emergency Use mechanism, we designed a three-dimensional printed, patient-specific silicone wound splint from a CT scan, allowing the wound vacuum to be secured to the splint rather than the eyelid. After 5 days of splint-assisted vacuum therapy, the wound bed stabilized with no residual purulence and developed healthy granulation tissue, without injury to the eye or lower lid. With continued vacuum therapy, the wound contracted to allow for safe tracheostomy placement, ventilator liberation, oral intake, and hemifacial reconstruction with a myofascial pectoralis muscle flap and a paramedian forehead flap 1 month later. She was eventually decannulated and at six-month follow-up has excellent wound healing and periorbital function. Conclusions Patient-specific, three-dimensional printing is an innovative solution that can facilitate safe placement of negative pressure wound therapy adjacent to delicate structures. This report also demonstrates feasibility of point-of-care manufacturing of customized devices for optimizing complex wound management in the head and neck, and describes successful use of the United States Food and Drug Administration’s Expanded Access for Medical Devices Emergency Use mechanism.

Published
2023
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26. Technique Corner: Marrow Stimulation and Augmentation

Author

Haunschild, Eric D., Gilat, Ron, Wolfson, Theodore, Wong, Stephanie, Condron, Nolan B., Kaiser, Joshua T., Cole, Brian J., Nakamura, Norimasa, editor, Marx, Robert G., editor, Musahl, Volker, editor, Getgood, Alan, editor, Sherman, Seth L., editor, and Verdonk, Peter, editor

Published
2022
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27. Health Equity Implications of Missing Data Among Youths With Childhood‐Onset Systemic Lupus Erythematosus: A Proof‐of‐Concept Study in the Childhood Arthritis and Rheumatology Research Alliance Registry

Author

Woo, Jennifer M. P., Simmonds, Faith, Dennos, Anne, Son, Mary Beth F., Lewandowski, Laura B., Rubinstein, Tamar B., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., OʼBrien, B., OʼBrien, T., Okeke, O., Oliver, M., Olson, J., OʼNeil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Phillippi, K., Marafon, D. Pires, Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster‐Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2023
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32. Childhood‐Onset Lupus Nephritis in the Childhood Arthritis and Rheumatology Research Alliance Registry: Short‐Term Kidney Status and Variation in Care

Author

Smitherman, Emily A., Chahine, Rouba A., Beukelman, Timothy, Lewandowski, Laura B., Rahman, A. K. M. Fazlur, Wenderfer, Scott E., Curtis, Jeffrey R., Hersh, Aimee O., Abel, N., Abulaban, K., Adams, A., Adams, M., Agbayani, R., Aiello, J., Akoghlanian, S., Alejandro, C., Allenspach, E., Alperin, R., Alpizar, M., Amarilyo, G., Ambler, W., Anderson, E., Ardoin, S., Armendariz, S., Baker, E., Balboni, I., Balevic, S., Ballenger, L., Ballinger, S., Balmuri, N., Barbar‐Smiley, F., Barillas‐Arias, L., Basiaga, M., Baszis, K., Becker, M., Bell‐Brunson, H., Beltz, E., Benham, H., Benseler, S., Bernal, W., Beukelman, T., Bigley, T., Binstadt, B., Black, C., Blakley, M., Bohnsack, J., Boland, J., Boneparth, A., Bowman, S., Bracaglia, C., Brooks, E., Brothers, M., Brown, A., Brunner, H., Buckley, M., Buckley, M., Bukulmez, H., Bullock, D., Cameron, B., Canna, S., Cannon, L., Carper, P., Cartwright, V., Cassidy, E., Cerracchio, L., Chalom, E., Chang, J., Chang‐Hoftman, A., Chauhan, V., Chira, P., Chinn, T., Chundru, K., Clairman, H., Co, D., Confair, A., Conlon, H., Connor, R., Cooper, A., Cooper, J., Cooper, S., Correll, C., Corvalan, R., Costanzo, D., Cron, R., Curiel‐Duran, L., Curington, T., Curry, M., Dalrymple, A., Davis, A., Davis, C., Davis, C., Davis, T., De Benedetti, F., De Ranieri, D., Dean, J., Dedeoglu, F., DeGuzman, M., Delnay, N., Dempsey, V., DeSantis, E., Dickson, T., Dingle, J., Donaldson, B., Dorsey, E., Dover, S., Dowling, J., Drew, J., Driest, K., Du, Q., Duarte, K., Durkee, D., Duverger, E., Dvergsten, J., Eberhard, A., Eckert, M., Ede, K., Edelheit, B., Edens, C., Edens, C., Edgerly, Y., Elder, M., Ervin, B., Fadrhonc, S., Failing, C., Fair, D., Falcon, M., Favier, L., Federici, S., Feldman, B., Fennell, J., Ferguson, I., Ferguson, P., Ferreira, B., Ferrucho, R., Fields, K., Finkel, T., Fitzgerald, M., Fleming, C., Flynn, O., Fogel, L., Fox, E., Fox, M., Franco, L., Freeman, M., Fritz, K., Froese, S., Fuhlbrigge, R., Fuller, J., George, N., Gerhold, K., Gerstbacher, D., Gilbert, M., Gillispie‐Taylor, M., Giverc, E., Godiwala, C., Goh, I., Goheer, H., Goldsmith, D., Gotschlich, E., Gotte, A., Gottlieb, B., Gracia, C., Graham, T., Grevich, S., Griffin, T., Griswold, J., Grom, A., Guevara, M., Guittar, P., Guzman, M., Hager, M., Hahn, T., Halyabar, O., Hammelev, E., Hance, M., Hanson, A., Harel, L., Haro, S., Harris, J., Harry, O., Hartigan, E., Hausmann, J., Hay, A., Hayward, K., Heiart, J., Hekl, K., Henderson, L., Henrickson, M., Hersh, A., Hickey, K., Hill, P., Hillyer, S., Hiraki, L., Hiskey, M., Hobday, P., Hoffart, C., Holland, M., Hollander, M., Hong, S., Horwitz, M., Hsu, J., Huber, A., Huggins, J., Hui‐Yuen, J., Hung, C., Huntington, J., Huttenlocher, A., Ibarra, M., Imundo, L., Inman, C., Insalaco, A., Jackson, A., Jackson, S., James, K., Janow, G., Jaquith, J., Jared, S., Johnson, N., Jones, J., Jones, J., Jones, J., Jones, K., Jones, S., Joshi, S., Jung, L., Justice, C., Justiniano, A., Karan, N., Kaufman, K., Kemp, A., Kessler, E., Khalsa, U., Kienzle, B., Kim, S., Kimura, Y., Kingsbury, D., Kitcharoensakkul, M., Klausmeier, T., Klein, K., Klein‐Gitelman, M., Kompelien, B., Kosikowski, A., Kovalick, L., Kracker, J., Kramer, S., Kremer, C., Lai, J., Lam, J., Lang, B., Lapidus, S., Lapin, B., Lasky, A., Latham, D., Lawson, E., Laxer, R., Lee, P., Lee, P., Lee, T., Lentini, L., Lerman, M., Levy, D., Li, S., Lieberman, S., Lim, L., Lin, C., Ling, N., Lingis, M., Lo, M., Lovell, D., Lowman, D., Luca, N., Lvovich, S., Madison, C., Madison, J., Manzoni, S. Magni, Malla, B., Maller, J., Malloy, M., Mannion, M., Manos, C., Marques, L., Martyniuk, A., Mason, T., Mathus, S., McAllister, L., McCarthy, K., McConnell, K., McCormick, E., McCurdy, D., Stokes, P. McCurdy, McGuire, S., McHale, I., McMonagle, A., McMullen‐Jackson, C., Meidan, E., Mellins, E., Mendoza, E., Mercado, R., Merritt, A., Michalowski, L., Miettunen, P., Miller, M., Milojevic, D., Mirizio, E., Misajon, E., Mitchell, M., Modica, R., Mohan, S., Moore, K., Moorthy, L., Morgan, S., Dewitt, E. Morgan, Moss, C., Moussa, T., Mruk, V., Murphy, A., Muscal, E., Nadler, R., Nahal, B., Nanda, K., Nasah, N., Nassi, L., Nativ, S., Natter, M., Neely, J., Nelson, B., Newhall, L., Ng, L., Nicholas, J., Nicolai, R., Nigrovic, P., Nocton, J., Nolan, B., Oberle, E., Obispo, B., OʼBrien, B., OʼBrien, T., Okeke, O., Oliver, M., Olson, J., OʼNeil, K., Onel, K., Orandi, A., Orlando, M., Osei‐Onomah, S., Oz, R., Pagano, E., Paller, A., Pan, N., Panupattanapong, S., Pardeo, M., Paredes, J., Parsons, A., Patel, J., Pentakota, K., Pepmueller, P., Pfeiffer, T., Phillippi, K., Marafon, D. Pires, Phillippi, K., Ponder, L., Pooni, R., Prahalad, S., Pratt, S., Protopapas, S., Puplava, B., Quach, J., Quinlan‐Waters, M., Rabinovich, C., Radhakrishna, S., Rafko, J., Raisian, J., Rakestraw, A., Ramirez, C., Ramsay, E., Ramsey, S., Randell, R., Reed, A., Reed, A., Reed, A., Reid, H., Remmel, K., Repp, A., Reyes, A., Richmond, A., Riebschleger, M., Ringold, S., Riordan, M., Riskalla, M., Ritter, M., Rivas‐Chacon, R., Robinson, A., Rodela, E., Rodriquez, M., Rojas, K., Ronis, T., Rosenkranz, M., Rosolowski, B., Rothermel, H., Rothman, D., Roth‐Wojcicki, E., Rouster – Stevens, K., Rubinstein, T., Ruth, N., Saad, N., Sabbagh, S., Sacco, E., Sadun, R., Sandborg, C., Sanni, A., Santiago, L., Sarkissian, A., Savani, S., Scalzi, L., Schanberg, L., Scharnhorst, S., Schikler, K., Schlefman, A., Schmeling, H., Schmidt, K., Schmitt, E., Schneider, R., Schollaert‐Fitch, K., Schulert, G., Seay, T., Seper, C., Shalen, J., Sheets, R., Shelly, A., Shenoi, S., Shergill, K., Shirley, J., Shishov, M., Shivers, C., Silverman, E., Singer, N., Sivaraman, V., Sletten, J., Smith, A., Smith, C., Smith, J., Smith, J., Smitherman, E., Soep, J., Son, M., Spence, S., Spiegel, L., Spitznagle, J., Sran, R., Srinivasalu, H., Stapp, H., Steigerwald, K., Rakovchik, Y. Sterba, Stern, S., Stevens, A., Stevens, B., Stevenson, R., Stewart, K., Stingl, C., Stokes, J., Stoll, M., Stringer, E., Sule, S., Sumner, J., Sundel, R., Sutter, M., Syed, R., Syverson, G., Szymanski, A., Taber, S., Tal, R., Tambralli, A., Taneja, A., Tanner, T., Tapani, S., Tarshish, G., Tarvin, S., Tate, L., Taxter, A., Taylor, J., Terry, M., Tesher, M., Thatayatikom, A., Thomas, B., Tiffany, K., Ting, T., Tipp, A., Toib, D., Torok, K., Toruner, C., Tory, H., Toth, M., Tse, S., Tubwell, V., Twilt, M., Uriguen, S., Valcarcel, T., Van Mater, H., Vannoy, L., Varghese, C., Vasquez, N., Vazzana, K., Vehe, R., Veiga, K., Velez, J., Verbsky, J., Vilar, G., Volpe, N., von Scheven, E., Vora, S., Wagner, J., Wagner‐Weiner, L., Wahezi, D., Waite, H., Walker, J., Walters, H., Muskardin, T. Wampler, Waqar, L., Waterfield, M., Watson, M., Watts, A., Weiser, P., Weiss, J., Weiss, P., Wershba, E., White, A., Williams, C., Wise, A., Woo, J., Woolnough, L., Wright, T., Wu, E., Yalcindag, A., Yee, M., Yen, E., Yeung, R., Yomogida, K., Yu, Q., Zapata, R., Zartoshti, A., Zeft, A., Zeft, R., Zhang, Y., Zhao, Y., Zhu, A., and Zic, C.

Published
2023
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39. Which substances pose the greatest risk of substance use disorder after controlling for polysubstance use?

Author

Gooding, Nolan B., Allami, Youssef, and Williams, Robert J.

Subjects
*SUBSTANCE abuse risk factors, *SUBSTANCE abuse, *CROSS-sectional method, *COCAINE, *SMOKING cessation products, *METHAMPHETAMINE, *QUESTIONNAIRES, *DISEASE prevalence, *HALLUCINOGENIC drugs, *DESCRIPTIVE statistics, *SURVEYS, *HEROIN, *OPIOID analgesics, *COMPARATIVE studies, *ALCOHOL drinking, *CANNABIS (Genus), *PSYCHIATRIC drugs, *DRUGS of abuse
Abstract

Both physiological and epidemiological research suggest that certain psychoactive substances have a greater potential for abuse (e.g. heroin) than others (e.g. hallucinogens). The use of multiple substances is also associated with a higher risk of substance use disorder (SUD). The goal of the present study was to evaluate the association between the use of different substances and the risk of SUD while accounting for polysubstance use. Data from the 2021 National Survey on Drug Use and Health (n = 58,034, unweighted) were used. Eight different substances (i.e. Alcohol, Cannabis, Cocaine, Inhalants, Hallucinogens, Heroin, Methamphetamine, and Opiate Misuse) were compared with respect to their typical frequency of use; the prevalence of SUD among individuals using each substance; the odds of SUDs when controlling for polysubstance use; and the rate of other substance use among those with a substance-specific SUD. Notable differences were found regarding the frequency of use and the rate of SUD among individuals reporting past year use. Heroin and methamphetamine were associated with the highest risk of SUD across all analyses. In contrast, hallucinogens and inhalants were consistently identified as having the lowest risk. The present results confirm that certain substances appear to have an inherently greater association with SUD compared to other substances. While these findings are not fundamentally divergent from prior epidemiological studies or ranking systems, they provide a more solid empirical foundation for assumptions of differential risk. [ABSTRACT FROM AUTHOR]

Published
2024
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40. A Prospective, Randomized, Double-Blind Clinical Trial to Investigate the Efficacy of Autologous Bone Marrow Aspirate Concentrate During Arthroscopic Meniscectomy in Patients With Early Knee Osteoarthritis.

Author

Yanke, Adam B., Yazdi, Allen A., Weissman, Alexander C., Wagner, Kyle R., Meeker, Zachary D., Condron, Nolan B., Darwish, Reem Y., Drager, Justin, Danilkowicz, Richard M., Forsythe, Brian, Verma, Nikhil N., and Cole, Brian J.

Subjects
KNEE osteoarthritis, MENISCUS injuries, STATISTICAL power analysis, REPEATED measures design, PREDICTIVE tests, SURGERY, PATIENTS, T-test (Statistics), RESEARCH funding, ARTHROSCOPY, STATISTICAL sampling, BLIND experiment, QUESTIONNAIRES, SAMPLE size (Statistics), FISHER exact test, MULTIPLE regression analysis, POSTOPERATIVE pain, VISUAL analog scale, TREATMENT effectiveness, RANDOMIZED controlled trials, MAGNETIC resonance imaging, DESCRIPTIVE statistics, CHI-squared test, MANN Whitney U Test, INJECTIONS, LONGITUDINAL method, FRIEDMAN test (Statistics), ANALYSIS of variance, BONE marrow transplantation, HEALTH outcome assessment, COMPARATIVE studies, DATA analysis software, MENISCECTOMY, NONPARAMETRIC statistics
Abstract

Background: Despite being recognized as a safe procedure with minimal reported complications, injecting autologous bone marrow aspirate concentrate (BMAC) as an adjuvant to arthroscopic partial meniscectomy (APM) for symptomatic patients with meniscal tears and concomitant knee osteoarthritis (OA) has not been studied in randomized controlled trials. Purpose: To compare patient-reported outcome measure (PROM) scores and radiographic outcomes in symptomatic patients with meniscal tears and concomitant mild knee OA who underwent APM with and without an autologous BMAC injection administered at the time of surgery. Study Design: Randomized controlled trial; Level of evidence, 1. Methods: Enrolled patients aged ≥18 years determined to have a symptomatic meniscal tear with concomitant mild knee OA suitable for APM and meeting inclusion and exclusion criteria were randomized into 2 groups: BMAC and control (no BMAC). The primary endpoint of the study was the International Knee Documentation Committee (IKDC) score at 1 year postoperatively. Secondary endpoints included radiographic outcomes (Kellgren-Lawrence grade) at 1 year postoperatively and various PROM scores, including those for the IKDC, Knee injury and Osteoarthritis Outcome Score (KOOS), visual analog scale, and Veterans RAND 12-Item Health Survey, at 3 months, 6 months, 1 year, and 2 years after meniscectomy. Results: Of the 95 enrolled patients, 83 (87.4%) were included for final analysis. No significant differences were found between the groups with regard to patient characteristics, intraoperative variables, concomitant procedures, preoperative PROM scores, or preoperative radiographic findings. At 1 year postoperatively, the BMAC group failed to demonstrate significantly better IKDC scores (P =.687) or radiographic outcomes (P >.05 for all radiographic measures) compared with the control group. Secondary PROM scores also did not significantly differ between the groups (P >.05 for all PROMs). However, there were higher achievement rates of the minimal clinically important difference for the KOOS Sport (100.0% vs 80.0%, respectively; P =.023) and KOOS Symptoms (92.3% vs 68.0%, respectively; P =.038) at 1 year postoperatively in the BMAC group than in the control group. All PROMs, excluding the VR-12 mental score, showed significant improvements compared with baseline at all postoperative time points for both the BMAC and control groups. Conclusion: The addition of an autologous BMAC injection during APM did not result in significant changes in IKDC scores or radiographic outcomes at the 1-year postoperative mark. Secondary PROM scores were generally comparable between the 2 groups, but there was higher minimal clinically important difference achievement for the KOOS Sport and KOOS Symptoms at 1 year postoperatively in the BMAC group. In patients with symptoms consistent with a meniscal tear who had concomitant mild OA, the addition of BMAC to arthroscopic debridement did not affect the outcome. Registration: NCT02582489 (ClinicalTrials.gov) [ABSTRACT FROM AUTHOR]

Published
2024
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41. Thermal Image Super-Resolution Challenge - PBVS 2021.

Author

Rafael E. Rivadeneira, ángel D. Sappa, Boris Xavier Vintimilla, Sabari Nathan, Priya Kansal, Armin Mehri, Parichehr Behjati Ardakani, Anurag Dalal, Aparna Akula, Darshika Sharma, Shashwat Pandey, Basant Kumar, Jiaxin Yao, Rongyuan Wu, Kai Feng, Ning Li, Yongqiang Zhao 0001, Heena Patel, Vishal M. Chudasama, Kalpesh Prajapati, Anjali Sarvaiya, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch 0001, Feras Almasri, Thomas Vandamme, Olivier Debeir, Nolan B. Gutierrez, Quan H. Nguyen, and William J. Beksi

Published
2021
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45. Bleeding phenotype according to factor level in 825 children with non-severe hemophilia; data from the PedNet cohort

Author

de Kovel, Marloes S., primary, Escuriola-Ettingshausen, Carmen, additional, Königs, Christoph, additional, Ranta, Susanna, additional, Fischer, Kathelijn, additional, Alvarèz Román, M.T., additional, Hidalgo, O Benitez, additional, Blatny, J., additional, Bührlen, M., additional, Carvalho, M., additional, Chambost, H., additional, Rosa Cid, A., additional, Oudot, C., additional, Escuriola-Ettingshausen, C., additional, Fischer, K., additional, Van GeetH Glosli, C., additional, Andersson, N Gretenkort, additional, Ljung, R., additional, Königs, C., additional, Koskenvuo, M., additional, Male, C., additional, Stamm Mikkelsen, T., additional, Molinari, A., additional, Motwani, J., additional, Nolan, B., additional, d’Oiron, R., additional, Oldenburg, J., additional, Olivieri, M., additional, Pergantou, H., additional, Pinto, F., additional, Ranta, S., additional, Kartal-Kaess, M., additional, Zápotocká, E., additional, Kenet, G., additional, Carcao, M., additional, and Rivard, G., additional

Published
2024
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46. Front Cover

Author

McCrary, Hilary C., primary, Farlow, Janice L., additional, Alexander, John, additional, Haring, Catherine T., additional, Kang, Stephen Y., additional, Old, Matthew O., additional, and Seim, Nolan B., additional

Published
2024
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