Comparison study of five different display modalities for whole slide images in surgical pathology and cytopathology in Europe. - Nicky D'Haene; Calliope Maris; Sandrine Rorive; Xavier Moles Lopez; Johan Rostang; Cédric Marchessoux; Liron Pantanowitz; Anil V. Parwani; Isabelle Salmon (Digital Pathology, 2013)

Digital Pathology Consultations - a New Era in Digital Imaging, Challenges and Practical Applications. - Gonzalo Romero Lauro; William Cable; Andrew Lesniak; Eugene Tseytlin; Jeff McHugh; Anil Parwani; Liron Pantanowitz (J. Digit. Imaging, 2013)

Does the choice of display system influence perception and visibility of clinically relevant features in digital pathology images? - Tom Kimpe; Johan Rostang; Alireza Nasiri Avanaki; Kathryn S. Espig; Albert Xthona; Ioan Cocuranu; Anil V. Parwani; Liron Pantanowitz (Digital Pathology, 2014)

Aging display's effect on interpretation of digital pathology slide. - Alireza Nasiri Avanaki; Kathryn S. Espig; Sameer Sawhney; Liron Pantanowitz; Anil V. Parwani; Albert Xthona; Tom R. L. Kimpe (Digital Pathology, 2015)

Aging display's effect on interpretation of digital pathology slides. - Alireza Nasiri Avanaki; Kathryn S. Espig; Sameer Sawhney; Liron Pantanowitz; Anil V. Parwani; Albert Xthona; Tom R. L. Kimpe (CoRR, 2015)

Computer-assisted bladder cancer grading: α-shapes for color space decomposition. - M. Khalid Khan Niazi; Anil V. Parwani; Metin N. Gurcan (Digital Pathology, 2016)

Automated T1 bladder risk stratification based on depth of lamina propria invasion from H and E tissue biopsies: a deep learning approach. - M. Khalid Khan Niazi; Thomas E. Tavolara; Vidya Arole; Anil V. Parwani; Cheryl Lee; Metin N. Gurcan (Digital Pathology, 2018)

Identification of topological features in renal tumor microenvironment associated with patient survival. - Jun Cheng 006; Xiaokui Mo; Xusheng Wang; Anil Parwani; Qianjin Feng; Kun Huang 001 (Bioinform., 2018)

Identifying bladder layers from H and E images using U-Net image segmentation. - Muhammad Khalid Khan Niazi; Enes Yazgan; Cheryl Lee; Anil Parwani; Metin N. Gurcan (Digital Pathology, 2020)

GEMS: GPU-enabled memory-aware model-parallelism system for distributed DNN training. - Arpan Jain; Ammar Ahmad Awan; Asmaa M. Aljuhani; Jahanzeb Maqbool Hashmi; Quentin G. Anthony; Hari Subramoni; Dhabaleswar K. Panda 001; Raghu Machiraju; Anil Parwani (SC, 2020)

Multispecialty Enterprise Imaging Workgroup Consensus on Interactive Multimedia Reporting Current State and Road to the Future: HIMSS-SIIM Collaborative White Paper. - Christopher J. Roth; David A. Clunie; David J. Vining; Seth J. Berkowitz; Alejandro Berlin; Jean-Pierre Bissonnette; Shawn D. Clark; Toby C. Cornish; Monief Eid; Cree M. Gaskin; Alexander K. Goel; Genevieve C. Jacobs; et al. (J. Digit. Imaging, 2021)

Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. - Azam Asilian Bidgoli; Shahryar Rahnamayan; Taher Dehkharghanian; Abtin Riasatian; Shivam Kalra; Manit Zaveri; Clinton J. V. Campbell; Anil Parwani; Liron Pantanowitz; Hamid R. Tizhoosh (Artif. Intell. Medicine, 2022)

Interactive Multimedia Reporting Technical Considerations: HIMSS-SIIM Collaborative White Paper. - Seth J. Berkowitz; David Kwan; Toby C. Cornish; Elliot Lewis Silver; Karen S. Thullner; Alex Aisen; Marilyn M. Bui; Shawn D. Clark; David A. Clunie; Monief Eid; Douglas J. Hartman; Kinson Ho; et al. (J. Digit. Imaging, 2022)

Towards a Visual-Language Foundation Model for Computational Pathology. - Ming Y. Lu; Bowen Chen; Drew F. K. Williamson; Richard J. Chen; Ivy Liang; Tong Ding; Guillaume Jaume; Igor Odintsov; Andrew Zhang; Long Phi Le; Georg Gerber; Anil V. Parwani; et al. (CoRR, 2023)

Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples. - Andrew H. Song; Mane Williams; Drew F. K. Williamson; Guillaume Jaume; Andrew Zhang; Bowen Chen; Robert Serafin; Jonathan T. C. Liu; Alexander S. Baras; Anil V. Parwani; Faisal Mahmood 001 (CoRR, 2023)

A Foundational Multimodal Vision Language AI Assistant for Human Pathology. - Ming Y. Lu; Bowen Chen; Drew F. K. Williamson; Richard J. Chen; Kenji Ikamura; Georg Gerber; Ivy Liang; Long Phi Le; Tong Ding; Anil V. Parwani; Faisal Mahmood 001 (CoRR, 2023)