Farhan Akram

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Erasmus University Rotterdam

Netherlands

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Recent Grants

Grant: Close

FI-DGR 2014

Open Date: 2014-05-01

Close Date: 2017-05-01

Grant: Close

Chung-Ang University Young Scientists Scholarship (CAYSS)

Open Date: 2011-08-01

Close Date: 2013-08-01

Articles (13)

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2025

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2024

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2023

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2023

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2023

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2022

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (12)

Kjersti Engan

professor

University of Stavanger

NORWAY

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Petia Radeva

Full professor

University of Barcelona

SPAIN

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Kwang Nam Choi

Chung-Ang University

SOUTH KOREA

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Hyun Chul Song

Assistant Professor

Namseoul University

SOUTH KOREA

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Santiago Romani

Lecturer in Comupter Science and Tecnology

Universitat Rovira i Virgili

SPAIN

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Domenec Puig

Professor

Universitat Rovira i Virgili

SPAIN

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Eyad Elyan

Robert Gordon University School of Computing

UNITED KINGDOM

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Geert J L H van Leenders

NETHERLANDS

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Tahlita C. M. Zuiverloon

NETHERLANDS

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Md. Mostafa Kamal Sarker

University of Oxford

UNITED KINGDOM

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Andrew Stubbs

Associate Professor

Erasmus MC

NETHERLANDS

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Erwin Brosens

Erasmus University Rotterdam

NETHERLANDS

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Farhan Akram

Research Interests

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Contact this professor

Recent Grants

Articles (13)

Deep Learning–Based Retinoblastoma Protein Subtyping of Pulmonary Large-Cell Neuroendocrine Carcinoma on Small Hematoxylin and Eosin–Stained Specimens

Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin–eosin‐stained tissue slides

Artificial Intelligence in Digital Pathology for Bladder Cancer: Hype or Hope? A Systematic Review

The value of prognostic and predictive parameters in early-stage lung adenocarcinomas: A comparison between biopsies and resections

Artificial intelligence-based recurrence prediction outperforms classical histopathological methods in pulmonary adenocarcinoma biopsies

Efficient Breast Cancer Classification Network with Dual Squeeze and Excitation in Histopathological Images

Self-initialized active contours for microscopic cell image segmentation

SLSNet: Skin lesion segmentation using a lightweight generative adversarial network

Active Contour Model for Image Segmentation with Dilated Convolution Filter

Active contour model with adaptive weighted function for robust image segmentation under biased conditions

Breast tumor segmentation in ultrasound images using contextual-information-aware deep adversarial learning framework

Breast tumor segmentation and shape classification in mammograms using generative adversarial and convolutional neural network

Automated grading of acne vulgaris by deep learning with convolutional neural networks

Collaborators (12)

Kjersti Engan

Petia Radeva

Kwang Nam Choi

Hyun Chul Song

Santiago Romani

Domenec Puig

Eyad Elyan

Geert J L H van Leenders

Tahlita C. M. Zuiverloon

Md. Mostafa Kamal Sarker

Andrew Stubbs

Erwin Brosens

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