Benjamin Hou

Benjamin Hou

Imperial College London

H-index: 16

Europe-United Kingdom

About Benjamin Hou

Benjamin Hou, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Machine Learning, Medical Image Analysis, Natural Language Processing.

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

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

Impact of an automatic PET/CT segmentation algorithm on nuclear medicine workflow for management of lymphoma

High-fidelity diabetic retina fundus image synthesis from freestyle lesion maps

High-fidelity image synthesis from pulmonary nodule lesion maps using semantic diffusion model

Feasibility of using the privacy-preserving large language model Vicuna for labeling radiology reports

Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors

Benjamin Hou Information

University

Position

___

Citations(all)

1001

Citations(since 2020)

965

Cited By

267

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

20

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Benjamin Hou Skills & Research Interests

Machine Learning

Medical Image Analysis

Natural Language Processing

Top articles of Benjamin Hou

Title

Journal

Author(s)

Publication Date

Enhanced Muscle and Fat Segmentation for CT-Based Body Composition Analysis: A Comparative Study

arXiv preprint arXiv:2401.05294

Benjamin Hou

Tejas Sudharshan Mathai

Jianfei Liu

Christopher Parnell

Ronald M Summers

2024/1/10

Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4

arXiv preprint arXiv:2403.05680

Qingqing Zhu

Benjamin Hou

Tejas S Mathai

Pritam Mukherjee

Qiao Jin

...

2024/3/8

Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports

arXiv preprint arXiv:2401.16578

Qingqing Zhu

Xiuying Chen

Qiao Jin

Benjamin Hou

Tejas Sudharshan Mathai

...

2024/1/29

Impact of an automatic PET/CT segmentation algorithm on nuclear medicine workflow for management of lymphoma

Navid Hasani

Liangchen Liu

Taylor Delie

Michael Morris

Faraz Farhadi

...

2023/6/1

High-fidelity diabetic retina fundus image synthesis from freestyle lesion maps

Biomedical Optics Express

Benjamin Hou

2023/2/1

High-fidelity image synthesis from pulmonary nodule lesion maps using semantic diffusion model

arXiv preprint arXiv:2305.01138

Xuan Zhao

Benjamin Hou

2023/5/2

Feasibility of using the privacy-preserving large language model Vicuna for labeling radiology reports

Radiology

Pritam Mukherjee

Benjamin Hou

Ricardo B Lanfredi

Ronald M Summers

2023/10/10

Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors

Liangchen Liu

Benjamin Hou

Manas Kumar Nag

Jianfei Liu

Navid Hasani

...

2023/4/18

Semantic Image Synthesis for Abdominal CT

Yan Zhuang

Benjamin Hou

Tejas Sudharshan Mathai

Pritam Mukherjee

Boah Kim

...

2023/10/8

Improved ascites segmentation with bladder identification using anatomical location residual U-net

Manas K Nag

Jianfei Liu

Seung Yeon Shin

Benjamin Hou

Liangchen Liu

...

2023/4/7

MOOD 2020: A Public Benchmark for Out-of-distribution Detection and Localization on Medical Images

IEEE Transactions on Medical Imaging

David Zimmerer

Peter M Full

Fabian Isensee

Paul Jäger

Tim Adler

...

2022/4/25

Domain Agnostic Pipeline for Retina Vessel Segmentation

arXiv preprint arXiv:2302.09215

Benjamin Hou

2023/2/18

Automatic Segmentation of PET/CT Lymphoma using an nnU-Net Model

Navid Hasani

Liangchen Liu

Faraz Farhadi

Taylor Delie

Benjamin Hou

...

2023/6/1

Natural synthetic anomalies for self-supervised anomaly detection and localization

Hannah M Schlüter

Jeremy Tan

Benjamin Hou

Bernhard Kainz

2022/10/23

Self-supervised 3D Human Pose Estimation in Static Video via Neural Rendering

Luca Schmidtke

Benjamin Hou

Athanasios Vlontzos

Bernhard Kainz

2022/10/23

Segmentation of Ascites on Abdominal CT Scans for the Assessment of Ovarian Cancer

Benjamin Hou

Manas K Nag

Jung-Min Lee

Christopher Koh

Ronald M Summers

2022

Synthesis of diabetic retina fundus images using semantic label generation

Joon-Ho Son

Amir Alansary

Daniel Rueckert

Bernhard Kainz

Benjamin Hou

2021/4/14

Detecting outliers with poisson image interpolation

Jeremy Tan

Benjamin Hou

Thomas Day

John Simpson

Daniel Rueckert

...

2021

Ultrasound video transformers for cardiac ejection fraction estimation

Hadrien Reynaud

Athanasios Vlontzos

Benjamin Hou

Arian Beqiri

Paul Leeson

...

2021

Ratchet: Medical transformer for chest x-ray diagnosis and reporting

Benjamin Hou

Georgios Kaissis

Ronald M Summers

Bernhard Kainz

2021

See List of Professors in Benjamin Hou University(Imperial College London)

Co-Authors

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