Nicholas Petrick

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 23

Top Topics

Endometrial Cancer

Artificial Intelligence

Radical Prostatectomy

Top Venues

Journal of medical imaging (Bellingham, Wash.)

BJR artificial intelligence

JCO precision oncology

NPJ digital medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Alexis Burgon, Berkman Sahiner, Nicholas Petrick, Gene Pennello, Kenny H Cha, Ravi K Samala
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift. Journal of medical imaging (Bellingham, Wash.) 11 (1) (2024)
Erica C Nakajima, Amber L Simpson, Jan Bogaerts, Elisabeth G E de Vries, Richard Kinh Gian Do, Elena Garralda, Gregory Goldmacher, Paul E Kinahan, Philippe Lambin, Barbara LeStage, Qin Li, Frank Po-Yen Lin, Saskia Litière, Raquel Perez-Lopez, Nicholas Petrick, Lawrence Schwartz, Lesley Seymour, Lalitha Shankar, Scott A Laurie
Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group. JCO precision oncology 8 (2024)
Seyed M M Kahaki, Ian S Hagemann, Kenny H Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Lindsay E Borden, Doaa Atwi, Kar-Ming Fung, Weijie Chen
End-to-end deep learning method for predicting hormonal treatment response in women with atypical endometrial hyperplasia or endometrial cancer. Journal of medical imaging (Bellingham, Wash.) 11 (1) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Seyed M M Kahaki, Ian S Hagemann, Kenny H Cha, Christopher Trindade, Nicholas Petrick, Nicolas Kostelecky, Lindsay E Borden, Doaa Atwi, Kar-Ming Fung, Weijie Chen
End-to-end deep learning method for predicting hormonal treatment response in women with atypical endometrial hyperplasia or endometrial cancer. Journal of medical imaging (Bellingham, Wash.) 11 (1) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Erica C Nakajima, Amber L Simpson, Jan Bogaerts, Elisabeth G E de Vries, Richard Kinh Gian Do, Elena Garralda, Gregory Goldmacher, Paul E Kinahan, Philippe Lambin, Barbara LeStage, Qin Li, Frank Po-Yen Lin, Saskia Litière, Raquel Perez-Lopez, Nicholas Petrick, Lawrence Schwartz, Lesley Seymour, Lalitha Shankar, Scott A Laurie
Tumor Size Is Not Everything: Advancing Radiomics as a Precision Medicine Biomarker in Oncology Drug Development and Clinical Care. A Report of a Multidisciplinary Workshop Coordinated by the RECIST Working Group. JCO precision oncology 8 (2024)
Aubrey A Shick, Christina M Webber, Nooshin Kiarashi, Jessica P Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C Diamond
Transparency of artificial intelligence/machine learning-enabled medical devices. NPJ digital medicine 7 (1) (2024)
Alexis Burgon, Berkman Sahiner, Nicholas Petrick, Gene Pennello, Kenny H Cha, Ravi K Samala
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift. Journal of medical imaging (Bellingham, Wash.) 11 (1) (2024)
Alexis Burgon, Berkman Sahiner, Nicholas Petrick, Gene Pennello, Kenny H Cha, Ravi K Samala
Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift. Journal of medical imaging (Bellingham, Wash.) 11 (1) (2024)
Mohammad Mehdi Farhangi, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos, Berkman Sahiner, Nicholas Petrick
Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Aubrey A Shick, Christina M Webber, Nooshin Kiarashi, Jessica P Weinberg, Aneesh Deoras, Nicholas Petrick, Anindita Saha, Matthew C Diamond
Transparency of artificial intelligence/machine learning-enabled medical devices. NPJ digital medicine 7 (1) (2024)
Usman Mahmood, Amita Shukla-Dave, Heang-Ping Chan, Kenny H Cha, Ravi K Samala, Quan Chen, Daniel Vergara, Hayit Greenspan, Nicholas Petrick, Berkman Sahiner, Zhimin Huo, Ronald M Summers, Kenny H Cha, Georgia Tourassi, Thomas M Deserno, Kevin T Grizzard, Janne J Näppi, Hiroyuki Yoshida, Daniele Regge, Richard Mazurchuk, Kenji Suzuki, Lia Morra, Henkjan Huisman, Samuel G Armato, Lubomir Hadjiiski
Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing. BJR artificial intelligence 1 (1) (2024)
Mohammad Mehdi Farhangi, Michael Maynord, Cornelia Fermüller, Yiannis Aloimonos, Berkman Sahiner, Nicholas Petrick
Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction. Journal of medical imaging (Bellingham, Wash.) 11 (4) (2024)
Nicholas Petrick, Weijie Chen, Jana Gut Delfino, Brandon D Gallas, Yanna Kang, Daniel Krainak, Berkman Sahiner, Ravi K Samala
Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges. Journal of medical imaging (Bellingham, Wash.) 10 (5) (2023)
Nicholas Petrick, Weijie Chen, Jana Gut Delfino, Brandon D Gallas, Yanna Kang, Daniel Krainak, Berkman Sahiner, Ravi K Samala
Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges. Journal of medical imaging (Bellingham, Wash.) 10 (5) (2023)
Thibaud Coroller, Berkman Sahiner, Anup Amatya, Alexej Gossmann, Konstantinos Karagiannis, Conor Moloney, Ravi K Samala, Luis Santana-Quintero, Nadia Solovieff, Craig Wang, Laleh Amiri-Kordestani, Qian Cao, Kenny H Cha, Rosane Charlab, Frank H Cross, Tingting Hu, Ruihao Huang, Jeffrey Kraft, Peter Krusche, Yutong Li, Zheng Li, Ilya Mazo, Rahul Paul, Susan Schnakenberg, Paolo Serra, Sean Smith, Chi Song, Fei Su, Mohit Tiwari, Colin Vechery, Xin Xiong, Juan Pablo Zarate, Hao Zhu, Arunava Chakravartty, Qi Liu, David Ohlssen, Nicholas Petrick, Julie A Schneider, Mark Walderhaug, Emmanuel Zuber
Methodology for good machine learning with multi-omics data. Clinical pharmacology and therapeutics (2023)
Nicholas Petrick, Shazia Akbar, Kenny H Cha, Sharon Nofech-Mozes, Berkman Sahiner, Marios A Gavrielides, Jayashree Kalpathy-Cramer, Kenny H Cha, Anne L Martel, null null
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. Journal of medical imaging (Bellingham, Wash.) 8 (3) (2021)
Gene A Pennello, Berkman Sahiner, Alexej Gossmann, Nicholas Petrick
Discussion on "Approval policies for modifications to machine learning-based software as a medical device: A study of bio-creep" by Jean Feng, Scott Emerson, and Noah Simon. Biometrics 77 (1) (2020)
Brandon D Gallas, Weijie Chen, Elodia Cole, Robert Ochs, Nicholas Petrick, Etta D Pisano, Berkman Sahiner, Frank W Samuelson, Kyle J Myers
Impact of prevalence and case distribution in lab-based diagnostic imaging studies. Journal of medical imaging (Bellingham, Wash.) 6 (1) (2019)
Kenny H Cha, Nicholas Petrick, Aria Pezeshk, Christian G Graff, Diksha Sharma, Andreu Badal, Berkman Sahiner
Evaluation of data augmentation via synthetic images for improved breast mass detection on mammograms using deep learning. Journal of medical imaging (Bellingham, Wash.) 7 (1) (2019)
Samuel G Armato, Henkjan J Huisman, Kenny H Cha, Lubomir Hadjiiski, Justin S Kirby, Nicholas Petrick, George Redmond, Maryellen L Giger, Kenny H Cha, Artem Mamonov, Jayashree Kalpathy-Cramer, Keyvan Farahani
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Zahra Ghanian, Aria Pezeshk, Nicholas Petrick, Berkman Sahiner
Computational insertion of microcalcification clusters on mammograms: reader differentiation from native clusters and computer-aided detection comparison. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)