Peter S. LaViolette

14 papers Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2023 J jnl
On Functional Activations in Deep Neural Networks.
CoRR
Andrew S. Nencka, Lutfi Tugan Muftuler, Peter S. LaViolette, Kevin M. Koch
2022 — conf
An automated approach for annotating Gleason patterns in whole-mount prostate cancer histology using deep learning.
Digital and Computational Pathology
Michael Brehler, Allison K. Lowman, Samuel Bobholz, Savannah R. Duenweg, Fitzgerald Kyereme, Cassandra Naze, John Sherman, Kenneth A. Iczkowski, Peter S. LaViolette
2022 J jnl
Homologous point transformer for multi-modality prostate image registration.
PeerJ Comput. Sci.
Alexander Ruchti, Alexander Neuwirth, Allison K. Lowman, Savannah R. Duenweg, Peter S. LaViolette, John Bukowy
2022 — conf
Prostate Cancer Histology Synthesis Using StyleGAN Latent Space Annotation.
MICCAI (2)
Gagandeep B. Daroach, Savannah R. Duenweg, Michael Brehler, Allison K. Lowman, Kenneth A. Iczkowski, Kenneth M. Jacobsohn, Josiah A. Yoder, Peter S. LaViolette
2022 J jnl
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
IEEE Trans. Medical Imaging
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
2021 — conf
Co-registration tool for large format whole mount prostate multi-plex histology.
Digital Pathology
Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Anjishnu Banerjee, Kenneth A. Iczkowski, Peter S. LaViolette
2021 — conf
High-resolution Controllable Prostatic Histology Synthesis using StyleGAN.
BIOIMAGING
Gagandeep B. Daroach, Josiah A. Yoder, Kenneth A. Iczkowski, Peter S. LaViolette
2021 — conf
Quantitative analysis of Alzheimer's disease pathology in glioblastoma patients.
Digital Pathology
Michael Brehler, Allison K. Lowman, Samuel Bobholz, Sean D. McGarry, Jennifer Connelly, Elizabeth J. Cochran, Peter S. LaViolette
2021 J jnl
Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
CoRR
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
2019 J jnl
An integrated iterative annotation technique for easing neural network training in medical image analysis.
Nat. Mach. Intell.
Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder
2019 — conf
Classification before Segmentation: Improved U-Net Prostate Segmentation.
BHI
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
2019 J jnl
Longitudinal molecular trajectories of diffuse glioma in adults.
Nat.
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, David 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
2018 J jnl
Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis.
CoRR
Brendon Lutnick, Brandon Ginley, Darshana Govind, Sean D. McGarry, Peter S. LaViolette, Rabi Yacoub, Sanjay Jain, John Tomaszewski, Kuang-Yu Jen, Pinaki Sarder
2010 J jnl
Intrinsic connectivity between the hippocampus and posteromedial cortex predicts memory performance in cognitively intact older individuals.
NeuroImage
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