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Parikshit Sanyal

Artificial Intelligence in Cytopathology: A Neural Network to Identify Papillary Carcinoma on Thyroid Fine-Needle Aspiration Cytology Smears
2018 · Parikshit Sanyal, Tanushri Mukherjee, et al. · Journal of Pathology Informatics · 119
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Performance characteristics of an artificial intelligence based on convolutional neural network for screening conventional Papanicolaou-stained cervical smears
2019 · Parikshit Sanyal, Prosenjit Ganguli, et al. · Medical Journal Armed Forces India · 25
Performance of a convolutional neural network in screening liquid based cervical cytology smears
2019 · Sanghita Barui, Parikshit Sanyal, et al. · Journal of Cytology · 21
Using a deep learning neural network for the identification of malignant cells in effusion cytology material
2023 · Parikshit Sanyal, Pranab Dey · Cytopathology · 17
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A Case of Mature Cystic Teratoma Arising from the Fourth Ventricle
2013 · Parikshit Sanyal, Sanghita Barui, et al. · Case Reports in Pathology · 13
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Artificial Intelligence in Liver Pathology: Precision Histology for Accurate Diagnoses
2025 · Parikshit Sanyal, Dipanwita Biswas, et al. · Journal of Clinical and Experimental Hepatology · 10
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Trials and tribulations: Developing an artificial intelligence for screening malaria parasite from peripheral blood smears
2023 · Shilpi Saxena, Parikshit Sanyal, et al. · Medical Journal Armed Forces India · 9
A machine learning model for screening of body fluid cytology smears
2021 · Parikshit Sanyal, Sayak Paul, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 7
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Perception without preconception: comparison between the human and machine learner in recognition of tissues from histological sections
2022 · Sanghita Barui, Parikshit Sanyal, et al. · Scientific Reports · 6
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Pilot study of an open-source image analysis software for automated screening of conventional cervical smears
2018 · Prosenjit Ganguli, Parikshit Sanyal, et al. · Journal of Cytology · 4
Can targeted therapy improve outcome in Epstein–Barr virus-negative aggressive natural killer cell leukemia: A case report
2024 · Shilpi Saxena, Mirza Saleem Amjad, et al. · Journal of Hematology and Allied Sciences · 2
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Correlation of Biomarkers and Frozen Section Diagnosis with Paraffin Histopathological Diagnosis in Suspected Ovarian Cancer
2019 · Tanushri Mukherjee, Soma Mukherjee, et al. · International Journal of Molecular and Immuno Oncology · 2
Histopathology of hepatitis cysticercosa in goat
2011 · Satyabrata Nath, Shabari Pal, et al. · Journal of Veterinary Parasitology · 2
Validation of a QuPath-Based Artificial Intelligence Workflow for Plasma Cell Quantification on CD138 Immunohistochemistry in an Indian Hematopathology Cohort
2026 · Mohammed N. Meera, Ankur Ahuja, et al. · Clinical Lymphoma Myeloma & Leukemia · 1
Effect of fractal quality of Indian classical music on autonomic function
2024 · Parikshit Sanyal, Koushik Roy, et al. · Biomedical Signal Processing and Control · 1
Study of diagnostic accuracy of fine needle aspiration cytology of lymph nodes over 6 years in a tertiary care hospital
2017 · Sanghita Barui, Prosenjit Ganguli, et al. · International Journal of Research in Medical Sciences · 1
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Bulletin of Advance Scientific Research 01 [01] (2015) Study of correlation between intraoperative crush smears, frozen section diagnosis and biopsy results of intracranial lesions
2015 · Tanushri Mukherjee, Parikshit Sanyal, et al. · 1
Development of a machine learning model for malaria parasite detection in peripheral blood smears: a preliminary evaluation using Create ML
2026 · Shilpi Saxena, Anubhav Singh, et al. · BMJ Innovations
Navigating the Gray Zone: Differentiating Sepsis and Secondary HLH in Adults Using T Cell Activation Markers
2025 · Shilpi Saxena, Manisha Madkaikar, et al. · Indian Journal of Hematology and Blood Transfusion
Effect of Video Assisted Teaching (VAT) on Awareness, Knowledge and Attitude towards Organ Donation and Transplantation in a North Indian State
2024 · Shyamli Varshney, Parikshit Sanyal, et al. · Indian Journal of Transplantation
Performance of a machine learning model in recognition of normal tissue from histological sections
2021 · Parikshit Sanyal, Sayak Paul, et al. · medRxiv
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A study of conventional histological parameters in excision specimens of breast cancer over a 7 year period and association with immunohistochemical categories
2020 · Parikshit Sanyal, Anshuman Singh, et al. · bioRxiv (Cold Spring Harbor Laboratory)
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Performance of a novel deep learning library in recognition of breast cancer from whole slide images of histopathological sections
2019 · Parikshit Sanyal · Archives of Clinical Microbiology
Performance of a Transfer Learning Module with Pretrained Neural Network and Logistic Regression in Detection of Breast Carcinoma from Microphotographs of Fine Needle Aspiration Cytology Smears
2019 · Parikshit Sanyal, Anirudh Sharma, et al. · International e-Conference on Cancer Research
The watershed transform in pathological image analysis: application in rectiulocyte count from supravital stained smears
2019 · Parikshit Sanyal, Sanghita Barui · International Journal of Research in Medical Sciences
Works count: 30
Citation count: 241
H-index: 7
I10-index: 6
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