Asadur Chowdury
YOU?
Author Swipe
View article: Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning
Protocol to annotate and automate single-cell instance segmentation on stimulated Raman histology using deep learning Open
Stimulated Raman histology (SRH) is a label-free optical imaging technique that can discern molecular components such as lipids and proteins at subcellular spatial resolution without histologic staining. Here, we present a protocol for lab…
View article: Intelligent Histology for Tumor Neurosurgery
Intelligent Histology for Tumor Neurosurgery Open
The importance of rapid and accurate histologic analysis of surgical tissue in the operating room has been recognized for over a century. Our standard-of-care intraoperative pathology workflow is based on light microscopy and H\&E histolog…
View article: Towards Scalable Language-Image Pre-training for 3D Medical Imaging
Towards Scalable Language-Image Pre-training for 3D Medical Imaging Open
The scalability of current language-image pre-training for 3D medical imaging, such as CT and MRI, is constrained by the need for radiologists to manually curate raw clinical studies. In this work, we pioneer pre-training directly on uncur…
View article: Step-Calibrated Diffusion for Biomedical Optical Image Restoration
Step-Calibrated Diffusion for Biomedical Optical Image Restoration Open
High-quality, high-resolution medical imaging is essential for clinical care. Raman-based biomedical optical imaging uses non-ionizing infrared radiation to evaluate human tissues in real time and is used for early cancer detection, brain …
View article: Foundation models for fast, label-free detection of glioma infiltration
Foundation models for fast, label-free detection of glioma infiltration Open
A critical challenge in glioma treatment is detecting tumour infiltration during surgery to achieve safe maximal resection1-3. Unfortunately, safely resectable residual tumour is found in the majority of patients with glioma after surgery,…
View article: The mesolimbic system and the loss of higher order network features in schizophrenia when learning without reward
The mesolimbic system and the loss of higher order network features in schizophrenia when learning without reward Open
Introduction Schizophrenia is characterized by a loss of network features between cognition and reward sub-circuits (notably involving the mesolimbic system), and this loss may explain deficits in learning and cognition. Learning in schizo…
View article: Fast intraoperative detection of primary CNS lymphoma and differentiation from common CNS tumors using stimulated Raman histology and deep learning
Fast intraoperative detection of primary CNS lymphoma and differentiation from common CNS tumors using stimulated Raman histology and deep learning Open
Background Accurate intraoperative diagnosis is crucial for differentiating between primary CNS lymphoma (PCNSL) and other CNS entities, guiding surgical decision-making, but represents significant challenges due to overlapping histomorpho…
View article: Super-resolution of biomedical volumes with 2D supervision
Super-resolution of biomedical volumes with 2D supervision Open
Volumetric biomedical microscopy has the potential to increase the diagnostic information extracted from clinical tissue specimens and improve the diagnostic accuracy of both human pathologists and computational pathology models. Unfortuna…
View article: Super-resolution of biomedical volumes with 2D supervision
Super-resolution of biomedical volumes with 2D supervision Open
Volumetric biomedical microscopy has the potential to increase the diagnostic information extracted from clinical tissue specimens and improve the diagnostic accuracy of both human pathologists and computational pathology models. Unfortuna…
View article: Step-Calibrated Diffusion for Biomedical Optical Image Restoration
Step-Calibrated Diffusion for Biomedical Optical Image Restoration Open
High-quality, high-resolution medical imaging is essential for clinical care. Raman-based biomedical optical imaging uses non-ionizing infrared radiation to evaluate human tissues in real time and is used for early cancer detection, brain …
View article: Blunted brain responses to neutral faces in healthy first-degree relatives of patients with schizophrenia: an image-based fMRI meta-analysis
Blunted brain responses to neutral faces in healthy first-degree relatives of patients with schizophrenia: an image-based fMRI meta-analysis Open
Schizophrenia is characterized by the misattribution of emotional significance to neutral faces, accompanied by overactivations of the limbic system. To understand the disorder’s genetic and environmental contributors, investigating health…
View article: Visual foundation models for fast, label-free detection of diffuse glioma infiltration
Visual foundation models for fast, label-free detection of diffuse glioma infiltration Open
A critical challenge in diffuse glioma treatment is detecting tumor infiltration during surgery to achieve safe maximal resection[1-3]. Unfortunately, safely resectable residual tumor is found in the majority of glioma patients after surge…
View article: A self-supervised framework for learning whole slide representations
A self-supervised framework for learning whole slide representations Open
Whole slide imaging is fundamental to biomedical microscopy and computational pathology. Previously, learning representations for gigapixel-sized whole slide images (WSIs) has relied on multiple instance learning with weak labels, which do…
View article: The impact of a focused behavioral intervention on brain cannabinoid signaling and interoceptive function: Implications for mood and anxiety
The impact of a focused behavioral intervention on brain cannabinoid signaling and interoceptive function: Implications for mood and anxiety Open
The Wim Hof method (WHM) is a behavioral intervention technique that consists of deep breathing exercises, cold exposure and meditation. In light of the crucial role of the cannabinoid system in modulating neurotransmitter release through …
View article: SURG-04. FAST DETECTION OF GLIOMA INFILTRATION USING LABEL-FREE OPTICAL MICROSCOPY AND DEEP NEURAL NETWORKS
SURG-04. FAST DETECTION OF GLIOMA INFILTRATION USING LABEL-FREE OPTICAL MICROSCOPY AND DEEP NEURAL NETWORKS Open
INTRODUCTION Fast and accurate detection of tumor infiltration is a central challenge in the comprehensive management of diffuse glioma patients. Despite our best real-time tumor detection strategies, such as intraoperative MRI and fluores…
View article: Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy
Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy Open
Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has focused on self-supervised representation learning (SSL) m…
View article: Basal glutamate in the hippocampus and the dorsolateral prefrontal cortex in schizophrenia: Relationships to cognitive proficiency investigated with structural equation modelling
Basal glutamate in the hippocampus and the dorsolateral prefrontal cortex in schizophrenia: Relationships to cognitive proficiency investigated with structural equation modelling Open
Hippocampal glutamate deficits in schizophrenia participants are consistent with evidence of reduced neuropil density. Moreover, SEM analyses indicated that hippocampal glutamate deficits in schizophrenia participants as measured during a …
View article: Hierarchical discriminative learning improves visual representations of biomedical microscopy
Hierarchical discriminative learning improves visual representations of biomedical microscopy Open
Learning high-quality, self-supervised, visual representations is essential to advance the role of computer vision in biomedical microscopy and clinical medicine. Previous work has focused on self-supervised representation learning (SSL) m…
View article: NIMG-30. AI-BASED MOLECULAR CLASSIFICATION OF DIFFUSE GLIOMAS USING RAPID, LABEL-FREE OPTICAL HISTOLOGY
NIMG-30. AI-BASED MOLECULAR CLASSIFICATION OF DIFFUSE GLIOMAS USING RAPID, LABEL-FREE OPTICAL HISTOLOGY Open
INTRODUCTION Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. Access to timely molecular diagnostic testing for brain tumor patients is limited, c…
View article: The topology, stability, and instability of learning-induced brain network repertoires in schizophrenia
The topology, stability, and instability of learning-induced brain network repertoires in schizophrenia Open
There is a paucity of graph theoretic methods applied to task-based data in schizophrenia (SCZ). Tasks are useful for modulating brain network dynamics, and topology. Understanding how changes in task conditions impact inter-group differen…
View article: Basal glutamate in the hippocampus and the dorsolateral prefrontal cortex in schizophrenia: Relationships to cognitive proficiency investigated with structural equation modeling
Basal glutamate in the hippocampus and the dorsolateral prefrontal cortex in schizophrenia: Relationships to cognitive proficiency investigated with structural equation modeling Open
Schizophrenia (SCZ) is characterized by deficits across multiple cognitive domains presumed to be associated with altered glutamate (Glu) related neuroplasticity in the dorsolateral prefrontal cortex (dlPFC) and the hippocampus. However, h…
View article: Sustained attention induces altered effective connectivity of the ascending thalamo-cortical relay in obsessive-compulsive disorder
Sustained attention induces altered effective connectivity of the ascending thalamo-cortical relay in obsessive-compulsive disorder Open
Abnormal function of the thalamo-cortical relay is considered a hallmark of obsessive-compulsive disorder (OCD) and aberrant network interactions may underpin many of the clinical and cognitive symptoms that characterize the disorder. Seve…
View article: AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging
AI-based molecular classification of diffuse gliomas using rapid, label-free optical imaging Open
Molecular classification has transformed the management of brain tumors by enabling more accurate prognostication and personalized treatment. However, timely molecular diagnostic testing for brain tumor patients is limited [1–3], complicat…
View article: Statistical inference for persistent homology applied to simulated fMRI time series data
Statistical inference for persistent homology applied to simulated fMRI time series data Open
Time-series data are amongst the most widely-used in biomedical sciences, including domains such as functional Magnetic Resonance Imaging (fMRI). Structure within time series data can be captured by the tools of topological data analysis (…