Carl Molnar

According to our database, Carl Molnar authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis.

Carl Molnar, Thomas E. Tavolara, Christopher A. Garcia, David S. McClintock, Mark D. Zarella, Wenchao Han

Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024

2023

A Survey on Solving and Discovering Differential Equations Using Deep Neural Networks.

Hyeonjung (Tari) Jung, Jayant Gupta, Bharat Jayaprakash, Matthew Eagon, Harish Panneer Selvam, Carl Molnar, William F. Northrop, Shashi Shekhar

CoRR, 2023

2022

SAMCNet: Towards a Spatially Explainable AI Approach for Classifying MxIF Oncology Data.

Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Alexey A. Leontovich, Raymond Moore

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach.

Jayant Gupta, Carl Molnar, Yiqun Xie, Joe Knight, Shashi Shekhar

ACM Trans. Intell. Syst. Technol., 2021

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification.

Majid Farhadloo, Carl Molnar, Gaoxiang Luo, Yan Li, Shashi Shekhar, Rachel L. Maus, Svetomir N. Markovic, Raymond Moore, Alexey A. Leontovich

CoRR, 2021

Towards Comparative Physical Interpretation of Spatial Variability Aware Neural Networks: A Summary of Results.

Jayant Gupta, Carl Molnar, Gaoxiang Luo, Joe Knight, Shashi Shekhar

CoRR, 2021