Michael Fulham
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View article: TiDE-Net: A time-guided dual-encoder ResUNet for Positron Emission Tomography (PET) image denoising
TiDE-Net: A time-guided dual-encoder ResUNet for Positron Emission Tomography (PET) image denoising Open
Our experiments demonstrate that conditioning on a timestep enables TiDE-Net to generalize across unseen noise levels, achieving consistent denoising performance across different noise conditions.
View article: MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction
MAISY: Motion-Aware Image SYnthesis for Medical Image Motion Correction Open
Patient motion during medical image acquisition causes blurring, ghosting, and distorts organs, which makes image interpretation challenging. Current state-of-the-art algorithms using Generative Adversarial Network (GAN)-based methods with…
View article: Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention
Advancing Deformable Medical Image Registration with Multi-axis Cross-covariance Attention Open
Deformable image registration is a fundamental requirement for medical image analysis. Recently, transformers have been widely used in deep learning-based registration methods for their ability to capture long-range dependency via self-att…
View article: A Generative Adversarial Network for Upsampling of Direct Volume Rendering Images
A Generative Adversarial Network for Upsampling of Direct Volume Rendering Images Open
Direct volume rendering (DVR) is an important tool for scientific and medical imaging visualization. Modern GPU acceleration has made DVR more accessible; however, the production of high‐quality rendered images with high frame rates is com…
View article: Presenilin‐1 mutation position influences amyloidosis, small vessel disease, and dementia with disease stage
Presenilin‐1 mutation position influences amyloidosis, small vessel disease, and dementia with disease stage Open
INTRODUCTION Amyloidosis, including cerebral amyloid angiopathy, and markers of small vessel disease (SVD) vary across dominantly inherited Alzheimer's disease (DIAD) presenilin‐1 ( PSEN1) mutation carriers. We investigated how mutation po…
View article: Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study
Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study Open
Background: A medical content-based image retrieval (CBIR) system is designed to retrieve images from large imaging repositories that are visually similar to a user′s query image. CBIR is widely used in evidence- based diagnosis, teaching,…
View article: Enhancing medical vision-language contrastive learning via inter-matching relation modelling
Enhancing medical vision-language contrastive learning via inter-matching relation modelling Open
Medical image representations can be learned through medical vision-language contrastive learning (mVLCL) where medical imaging reports are used as weak supervision through image-text alignment. These learned image representations can be t…
View article: PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network
PET Synthesis via Self-supervised Adaptive Residual Estimation Generative Adversarial Network Open
Positron emission tomography (PET) is a widely used, highly sensitive molecular imaging in clinical diagnosis. There is interest in reducing the radiation exposure from PET but also maintaining adequate image quality. Recent methods using …
View article: <scp>T1</scp> and <scp>FLAIR</scp> signal intensities are related to tau pathology in dominantly inherited Alzheimer disease
<span>T1</span> and <span>FLAIR</span> signal intensities are related to tau pathology in dominantly inherited Alzheimer disease Open
Carriers of mutations responsible for dominantly inherited Alzheimer disease provide a unique opportunity to study potential imaging biomarkers. Biomarkers based on routinely acquired clinical MR images, could supplement the extant invasiv…
View article: AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration
AutoFuse: Automatic Fusion Networks for Deformable Medical Image Registration Open
Deformable image registration aims to find a dense non-linear spatial correspondence between a pair of images, which is a crucial step for many medical tasks such as tumor growth monitoring and population analysis. Recently, Deep Neural Ne…
View article: 2764 A case of semantics: huntington disease presenting as primary progressive aphasia
2764 A case of semantics: huntington disease presenting as primary progressive aphasia Open
Objective We present a case of the semantic variant of primary progressive aphasia (PPA) as the initial presenting feature in a patient with Huntington disease (HD). Case A 76-year-old Caucasian man was referred for evaluation of progressi…
View article: Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration
Non-iterative Coarse-to-fine Transformer Networks for Joint Affine and Deformable Image Registration Open
Image registration is a fundamental requirement for medical image analysis. Deep registration methods based on deep learning have been widely recognized for their capabilities to perform fast end-to-end registration. Many deep registration…
View article: Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer
Merging-Diverging Hybrid Transformer Networks for Survival Prediction in Head and Neck Cancer Open
Survival prediction is crucial for cancer patients as it provides early prognostic information for treatment planning. Recently, deep survival models based on deep learning and medical images have shown promising performance for survival p…
View article: Pearls & Oy-sters: Huntington Disease Presenting as Primary Progressive Aphasia
Pearls & Oy-sters: Huntington Disease Presenting as Primary Progressive Aphasia Open
We present a case of semantic variant primary progressive aphasia as the presenting feature in a patient with Huntington disease (HD). The patient initially developed progressive language impairment including impaired naming and object kno…
View article: AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images
AdaMSS: Adaptive Multi-Modality Segmentation-to-Survival Learning for Survival Outcome Prediction from PET/CT Images Open
Survival prediction is a major concern for cancer management. Deep survival models based on deep learning have been widely adopted to perform end-to-end survival prediction from medical images. Recent deep survival models achieved promisin…
View article: Lenalidomide Consolidation Added to Rituximab Maintenance Therapy in Patients Remaining PET Positive After Treatment for Relapsed Follicular Lymphoma: A Phase 2 Australasian Leukaemia & Lymphoma Group NHL26 Study
Lenalidomide Consolidation Added to Rituximab Maintenance Therapy in Patients Remaining PET Positive After Treatment for Relapsed Follicular Lymphoma: A Phase 2 Australasian Leukaemia & Lymphoma Group NHL26 Study Open
Follicular lymphoma (FL), the most common indolent lymphoma, has a heterogeneous clinical course.1 Positron emission-computerized tomography (PET) using 18F-Fluorodeoxyglucose (18F-FDG) is integral to response assessment in FL.2 The inferi…
View article: Synthesis and structure–activity relationship (SAR) studies of 1,2,3-triazole, amide, and ester-based benzothiazole derivatives as potential molecular probes for tau protein
Synthesis and structure–activity relationship (SAR) studies of 1,2,3-triazole, amide, and ester-based benzothiazole derivatives as potential molecular probes for tau protein Open
A series of tau ligands was synthesized replacing the photoisomerisable trans -diene bridge of PBB3 with 1,2,3-triazole, amide, and ester moieties. Several ligands were able to visualise Aβ plaques and neurofibrillary tangles in Alzheimer'…
View article: Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation
Hyper-Connected Transformer Network for Multi-Modality PET-CT Segmentation Open
[18F]-Fluorodeoxyglucose (FDG) positron emission tomography - computed tomography (PET-CT) has become the imaging modality of choice for diagnosing many cancers. Co-learning complementary PET-CT imaging features is a fundamental requiremen…
View article: PSMA PET-CT in the Diagnosis and Staging of Prostate Cancer
PSMA PET-CT in the Diagnosis and Staging of Prostate Cancer Open
Prostate cancer is the most common cancer and the second leading cause of cancer death in men. The imaging assessment and treatment of prostate cancer has vastly improved over the past decade. The introduction of PSMA PET-CT has improved t…
View article: 2445 A rare case of Erdheim-Chester Disease associated with anti-GABA-B antibodies
2445 A rare case of Erdheim-Chester Disease associated with anti-GABA-B antibodies Open
Introduction Encephalitis associated with anti-GABA-B antibodies is a rare phenomenon which has been typically shown to manifest as a paraneoplastic process, usually associated with small-cell lung cancer. The present case is an unusual pr…
View article: Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images
Graph-Based Intercategory and Intermodality Network for Multilabel Classification and Melanoma Diagnosis of Skin Lesions in Dermoscopy and Clinical Images Open
The identification of melanoma involves an integrated analysis of skin lesion images acquired using clinical and dermoscopy modalities. Dermoscopic images provide a detailed view of the subsurface visual structures that supplement the macr…
View article: Biomarker clustering in autosomal dominant Alzheimer's disease
Biomarker clustering in autosomal dominant Alzheimer's disease Open
INTRODUCTION As the number of biomarkers used to study Alzheimer's disease (AD) continues to increase, it is important to understand the utility of any given biomarker, as well as what additional information a biomarker provides when compa…
View article: Neuroimaging within the Dominantly Inherited Alzheimer’s Network (DIAN): PET and MRI
Neuroimaging within the Dominantly Inherited Alzheimer’s Network (DIAN): PET and MRI Open
The Dominantly Inherited Alzheimer Network (DIAN) Observational Study is an international collaboration studying autosomal dominant Alzheimer disease (ADAD). This rare form of Alzheimer disease (AD) is caused by mutations in the presenilin…