4 citations · 8 across the 9 of their papers we have counts for
9 papers
Fast, Unsupervised Framework for Registration Quality Assessment of Multi-stain Histological Whole Slide Pairs
Shikha Dubey, Patricia Raciti, Kristopher Standish +2
High-fidelity registration of histopathological whole slide images (WSIs), such as hematoxylin & eosin (H&E) and immunohistochemistry (IHC), is vital for integrated molecular analy…
Building Trust in Virtual Immunohistochemistry: Automated Assessment of Image Quality
Tushar Kataria, Shikha Dubey, Mary Bronner +4
Deep learning models can generate virtual immunohistochemistry (IHC) stains from hematoxylin and eosin (H&E) images, offering a scalable and low-cost alternative to laboratory IHC.…
VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex Stains
Shikha Dubey, Yosep Chong, Beatrice Knudsen +1
This paper introduces a Virtual Immunohistochemistry Multiplex staining (VIMs) model designed to generate multiple immunohistochemistry (IHC) stains from a single hematoxylin and e…
F2FLDM: Latent Diffusion Models with Histopathology Pre-Trained Embeddings for Unpaired Frozen Section to FFPE Translation
Man M. Ho, Shikha Dubey, Yosep Chong +2
The Frozen Section (FS) technique is a rapid and efficient method, taking only 15-30 minutes to prepare slides for pathologists' evaluation during surgery, enabling immediate decis…
Structural Cycle GAN for Virtual Immunohistochemistry Staining of Gland Markers in the Colon
Shikha Dubey, Tushar Kataria, Beatrice Knudsen +1
With the advent of digital scanners and deep learning, diagnostic operations may move from a microscope to a desktop. Hematoxylin and Eosin (H&E) staining is one of the most freque…
3D Convolutional with Attention for Action Recognition
Labina Shrestha, Shikha Dubey, Farrukh Olimov +2
Human action recognition is one of the challenging tasks in computer vision. The current action recognition methods use computationally expensive models for learning spatio-tempora…
Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning
Shikha Dubey, Farrukh Olimov, Muhammad Aasim Rafique +2
Automatic transcription of scene understanding in images and videos is a step towards artificial general intelligence. Image captioning is a nomenclature for describing meaningful…
Image Captioning using Multiple Transformers for Self-Attention Mechanism
Farrukh Olimov, Shikha Dubey, Labina Shrestha +2
Real-time image captioning, along with adequate precision, is the main challenge of this research field. The present work, Multiple Transformers for Self-Attention Mechanism (MTSM)…
3D ResNet with Ranking Loss Function for Abnormal Activity Detection in Videos
Shikha Dubey, Abhijeet Boragule, Moongu Jeon
Abnormal activity detection is one of the most challenging tasks in the field of computer vision. This study is motivated by the recent state-of-art work of abnormal activity detec…