ARTICLE |
JOURNAL |
DATE |
MIXTURE of human expertise and deep learning-developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease |
Modern Pathology |
2022 |
Cluster Analysis of Cell Nuclei in H&E-Stained Histological Sections of Prostate Cancer and Classification Based on Traditional and Modern Artificial Intelligence Techniques |
Diagnostics |
2021 |
Use of Artificial Intelligence in Health Diganostics - A Validation Study on Chorionic Villi |
Pakistan Journal of Pathology |
2021 |
Normalization of HE-stained histological images using cycle consistent generative adversarial networks
|
Springer Nature, BioMed Central Ltd |
2021 |
Dawn of AI Enable Digital Pathology in Pakistan- A Paradigm Shift |
Journal Of Pakistan Medical Association |
2021 |
Adoption of Digital Pathology in Developing Countries: From Benefits to Challenges |
Journal of the College of Physicians and Surgeons Pakistan
|
2021 |
Remote reporting during a Pandemic using Digital Pathology Solution: Experience from a tertiary care cancer center |
Journal of Pathology Informatics |
2021 |
Digital Pathology Enabling Remote Operations During COVID-19 Pandemic and Beyond - Pathologist Perspective for Future Opportunities |
Pakistan Journal of Pathology |
2021 |
Deep Multi-Magnification Networks for multi-class breast cancer image segmentation |
Computerized Medical Imaging and Graphics |
2021 |
Remote reporting from home for primary diagnosis in surgical pathology: A tertiary oncology center experience during the COVID-19 pandemic |
Journal of Pathology Informatics |
2021 |
Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media
|
Modern Pathology
|
2020 |
An artificial intellligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study |
Lancet Digital Health |
2020 |
Emerging Advances to Transform Histopathology Using Virtual Staining
|
BME Frontiers |
2020 |
Spatial immune profiling of the colorectal tumor microenvironment predicts good outcome in stage II patients
|
npj Digital Medicine |
2020 |
Explainable AI for Anatomic Pathology |
Advances in Anatomic Pathology |
2020 |
A machine learning model for detecting invasive ductal carcinoma with Google Cloud AutoML Vision |
Computers in Biology and Medicine |
2020 |
Brightfield multiplex immunohistochemistry with multispectral imaging
|
Laboratory Investigation |
2020 |
The future of digital health with federated learning |
NPJ Digital Medicine |
2020 |
Modeling Histological Patterns for Differential Diagnosis of Atypical Breast Lesions
|
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) |
2020 |
The Role and Financial Implications of Digital Pathology for the System Health [PDF]
|
Ovidius" University Annals, Economic Sciences Series |
2020 |
Telepathology in Medical Education: Integration of Digital Microscopy in Distance Pathology Education during COVID-19 Pandemic
|
Journal of Medical Science and Clinical Research |
2020 |
Aligning Reimbursement for Digital Pathology with its Value |
Journal of Precision Medicine |
2020 |
The Role of Artificial Intelligence for Image Analysis in Surgical Pathology [PDF]
|
Annals of the University Dunarea de Jos of Galati: Fascicle: I, Economics & Applied Informatics |
2020 |
Automated Analysis of Lymphocytic Infiltration, Tumor Budding, and Their Spatial Relationship Improves Prognostic Accuracy in Colorectal Cancer
|
Cancer Immunology Research |
2019 |
Video compression to support the expansion of whole-slide imaging into cytology |
Journal of Medical Imaging |
2019 |
Deep learning and manual assessment show that the absolute mitotic count does not contain prognostic information in triple negative breast cancer
|
Cellular Oncology |
2019 |
Deep learning assisted mitotic counting for breast cancer
|
Laboratory Investigation |
2019 |
Detection of lung cancer lymph node metastases from whole-slide histopathological images using a two-step deep learning approach
|
The American Journal of Pathology |
2019 |