Tapabrata Chakraborti

About Tapabrata Chakraborti

Tapabrata Chakraborti, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of artificial intelligence, machine learning, data science.

His recent articles reflect a diverse array of research interests and contributions to the field:

Computational drug repurposing for viral infectious diseases: a case study on monkeypox

Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning

Deep Learning as Ricci Flow

RUBic: rapid unsupervised biclustering

BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images

MoMSGAN: Mode Collapse based Degradation Agnostic Multi-Scale Super-Resolution of Medical Images

Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology

Ret2Ret: Retinal Blood Vessel Extraction via Improved Pix2Pix Image Translation

Tapabrata Chakraborti Information

University

Position

Big Data Institute

Citations(all)

574

Citations(since 2020)

459

Cited By

255

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

14

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Tapabrata Chakraborti Skills & Research Interests

artificial intelligence

machine learning

data science

Top articles of Tapabrata Chakraborti

Title

Journal

Author(s)

Publication Date

Computational drug repurposing for viral infectious diseases: a case study on monkeypox

Sovan Saha

Piyali Chatterjee

Mita Nasipuri

Subhadip Basu

Tapabrata Chakraborti

2024/1/5

Uncertainty quantification of cuffless blood pressure estimation based on parameterized model evidential ensemble learning

Biomedical Signal Processing and Control

Zhan Shen

Tapabrata Chakraborti

Wenyan Wang

Shuaiting Yao

Zhizhong Fu

...

2024/6/1

Deep Learning as Ricci Flow

arXiv preprint arXiv:2404.14265

Anthony Baptista

Alessandro Barp

Tapabrata Chakraborti

Chris Harbron

Ben D MacArthur

...

2024/4/22

RUBic: rapid unsupervised biclustering

BMC bioinformatics

Brijesh K Sriwastava

Anup Kumar Halder

Subhadip Basu

Tapabrata Chakraborti

2023/11/16

BliMSR: Blind Degradation Modelling for Generating High-Resolution Medical Images

Samiran Dey

Partha Basuchowdhuri

Debasis Mitra

Robin Augustine

Sanjoy Kumar Saha

...

2023/7/19

MoMSGAN: Mode Collapse based Degradation Agnostic Multi-Scale Super-Resolution of Medical Images

Samiran Dey

Tapabrata Chakraborti

Partha Basuchowdhuri

Debasis Mitra

Robin Augustine

...

2023/12/15

Deep-Fuzz: A synergistic integration of deep learning and fuzzy water flows for fine-grained nuclei segmentation in digital pathology

Plos one

Nirmal Das

Satadal Saha

Mita Nasipuri

Subhadip Basu

Tapabrata Chakraborti

2023/6/23

Ret2Ret: Retinal Blood Vessel Extraction via Improved Pix2Pix Image Translation

Rohan Banerjee

Sanjoy Kumar Saha

Tapabrata Chakraborti

2023/12/9

Learning from data with structured missingness

Robin Mitra

Sarah F McGough

Tapabrata Chakraborti

Chris Holmes

Ryan Copping

...

2023/1

Generative AI models should include detection mechanisms as a condition for public release

Ethics and Information Technology

Alistair Knott

Dino Pedreschi

Raja Chatila

Tapabrata Chakraborti

Susan Leavy

...

2023/12

Clinical AI tools must convey predictive uncertainty for each individual patient

Nature medicine

Christopher RS Banerji

Tapabrata Chakraborti

Chris Harbron

Ben D MacArthur

2023/12

Deep Visualisation-Based Interpretable Analysis of Digital Pathology Images for Colorectal Cancer

Alexandre Guérin

Subhadip Basu

Tapabrata Chakraborti

Jens Rittscher

2022/12/19

Active Data Enrichment by Learning What to Annotate in Digital Pathology

George Batchkala

Tapabrata Chakraborti

Mark McCole

Fergus Gleeson

Jens Rittscher

2022/9/22

Multi-scale graphical representation of cell environment

Helen Theissen

Tapabrata Chakraborty

Stefano Malacrino

Daniel Royston

Jens Rittscher

2022/7/11

Fuzzy and genetic algorithm based approach for classification of personality traits oriented social media images

Knowledge-Based Systems

Kunal Biswas

Palaiahnakote Shivakumara

Umapada Pal

Tapabrata Chakraborti

Tong Lu

...

2022/4/6

LSIP: Locality Sensitive Intensity Projection for 2D Mapping of High-Res 3D Images of Dendritic Spines

Shauvik Paul

Nirmal Das

Suchandra Bose Dutta

Rayala Adityar

Tapabrata Chakraborti

...

2022/12/19

Learning cellular phenotypes through supervision

Helen Theissen

Tapabrata Chakraborti

Stefano Malacrino

Korsuk Sirinukunwattana

Daniel Royston

...

2021/11/1

Contrastive representations for continual learning of fine-grained histology images

Tapabrata Chakraborti

Fergus Gleeson

Jens Rittscher

2021

Exploring the correlation between deep learned and clinical features in melanoma detection

Tamal Chowdhury

Angad RS Bajwa

Tapabrata Chakraborti

Jens Rittscher

Umapada Pal

2021

Automated Annotator: Capturing Expert Knowledge for Free

Sebastian Elmes

Tapabrata Chakraborti

Mengran Fan

Holm Uhlig

Jens Rittscher

2021/11/1

See List of Professors in Tapabrata Chakraborti University(University of Oxford)

Co-Authors

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