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ORCIDPeter S. LaViolette
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2020 – today
- 2023
[i3]Andrew S. Nencka, Lutfi Tugan Muftuler, Peter S. LaViolette, Kevin M. Koch:
On Functional Activations in Deep Neural Networks. CoRR abs/2311.10898 (2023)- 2022
- [j5]Alexander Ruchti, Alexander Neuwirth, Allison K. Lowman
, Savannah R. Duenweg, Peter S. LaViolette, John Bukowy:
Homologous point transformer for multi-modality prostate image registration. PeerJ Comput. Sci. 8: e1155 (2022) - [j4]Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari:
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. IEEE Trans. Medical Imaging 41(7): 1764-1777 (2022) - [c6]Gagandeep B. Daroach, Savannah R. Duenweg, Michael Brehler, Allison K. Lowman, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Josiah A. Yoder, Peter S. LaViolette:
Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation. MICCAI (2) 2022: 398-408 - [c5]Michael Brehler, Allison K. Lowman, Samuel Bobholz, Savannah R. Duenweg, Fitzgerald Kyereme, Cassandra Naze, John Sherman, Kenneth A. Iczkowski, Peter S. LaViolette:
An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning. Digital and Computational Pathology 2022 - 2021
- [c4]Gagandeep B. Daroach, Josiah A. Yoder, Kenneth A. Iczkowski, Peter S. LaViolette:
High-resolution Controllable Prostatic Histology Synthesis using StyleGAN. BIOIMAGING 2021: 103-112 - [c3]Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette:
Co-registration tool for large format whole mount prostate multi-plex histology. Digital Pathology 2021 - [c2]Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Jennifer Connelly, Elizabeth J. Cochran, Peter S. LaViolette:
Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients. Digital Pathology 2021 - [i2]Marwa Ismail, Prateek Prasanna, Kaustav Bera, Volodymyr Statsevych, Virginia B. Hill, Gagandeep Singh, Sasan Partovi, Niha G. Beig, Sean D. McGarry, Peter S. LaViolette, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari:
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma. CoRR abs/2103.07423 (2021)
2010 – 2019
- 2019
- [j3]Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder:
An integrated iterative annotation technique for easing neural network training in medical image analysis. Nat. Mach. Intell. 1(2): 112-119 (2019) - [j2]Floris P. Barthel, Kevin C. Johnson, Frederick S. Varn, Anzhela D. Moskalik, Georgette Tanner, Emre Kocakavuk, Kevin J. Anderson, Olajide Abiola, Kenneth D. Aldape, Kristin D. Alfaro, Donat Alpar, Samirkumar B. Amin, David M. Ashley, Pratiti Bandopadhayay, Jill S. Barnholtz-Sloan, Rameen Beroukhim, Christoph Bock, Priscilla K. Brastianos, Daniel J. Brat, Andrew R. Brodbelt, Alexander F. Bruns, Ketan R. Bulsara, Aruna Chakrabarty, Arnab Chakravarti, Jeffrey H. Chuang, Elizabeth B. Claus, Elizabeth J. Cochran, Jennifer Connelly, Joseph F. Costello, Gaetano Finocchiaro, Michael N. Fletcher, Pim J. French, Hui K. Gan, Mark R. Gilbert, Peter V. Gould, Matthew R. Grimmer, Antonio Iavarone, Azzam Ismail, Michael D. Jenkinson, Mustafa Khasraw, Hoon Kim, Mathilde C. M. Kouwenhoven, Peter S. LaViolette, Meihong Li, Peter Lichter, Keith L. Ligon, Allison K. Lowman, Tathiane M. Malta, Tali Mazor, Kerrie L. McDonald, Annette M. Molinaro, Do-Hyun Nam, Naema Nayyar, Ho Keung Ng, Chew Yee Ngan, Simone P. Niclou, Johanna M. Niers, Houtan Noushmehr, Javad Noorbakhsh, D. Ryan Ormond, Chul-Kee Park, Laila M. Poisson, Raul Rabadan, Bernhard Radlwimmer, Ganesh Rao, Guido Reifenberger, Jason K. Sa, Michael Schuster, Brian L. Shaw, Susan C. Short, Peter A. E. Sillevis Smitt, Andrew E. Sloan, Marion Smits, Hiromichi Suzuki, Ghazaleh Tabatabai, Erwin G. Van Meir, Colin Watts, Michael Weller, Pieter Wesseling, Bart A. Westerman, Georg Widhalm, Adelheid Woehrer, W. K. Alfred Yung, Gelareh Zadeh, Jason T. Huse, John F. De Groot, Lucy F. Stead, Roel G. W. Verhaak:
Longitudinal molecular trajectories of diffuse glioma in adults. Nat. 576(7785): 112-120 (2019) - [c1]Ronald J. Nowling, John Bukowy, Sean D. McGarry, Andrew S. Nencka, Oliver Blasko, Jay Urbain, Allison K. Lowman, Alexander Barrington, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette:
Classification before Segmentation: Improved U-Net Prostate Segmentation. BHI 2019: 1-4 - 2018
- [i1]Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder:
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis. CoRR abs/1812.07509 (2018) - 2010
- [j1]Liang Wang, Peter S. LaViolette, Kelly O'Keefe, Deepti Putcha, Akram Bakkour, Koene R. A. Van Dijk, Maija Pihlajamäki, Bradford C. Dickerson, Reisa A. Sperling:
Intrinsic connectivity between the hippocampus and posteromedial cortex predicts memory performance in cognitively intact older individuals. NeuroImage 51(2): 910-917 (2010)
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