About

Bhaskar Banerjee is a Professor of Medicine, Biomedical Engineering, and Optical Sciences at the University of Arizona. He is affiliated with the College of Medicine and the Wyant College of Optical Sciences. His specific research interests include the optical detection of gastrointestinal cancer using native fluorophores and receptor-targeted imaging of gastrointestinal cancer. His work focuses on developing optical techniques for cancer detection and imaging, contributing to advancements in biomedical optics and cancer diagnostics.

Research topics

• Artificial Intelligence
• Computer Science
• Combinatorial chemistry
• Materials science
• Radiology
• Internal medicine
• Waste management
• Chemistry
• Optics
• Polymer chemistry
• Environmental resource management
• Telecommunications
• Biomedical engineering
• Physics
• Engineering
• Operating system
• Pathology
• Organic chemistry
• Marine engineering
• Medicine
• Environmental science

Selected publications

• Asymmetric organotellurium hard-soft donor schiff base ligand and its Cu(II)/Ni(II) complexes: DNA intercalation, anti-inflammatory and antimicrobial activity

  Polyhedron · 2026-05-12

  articleCorresponding
  PublisherDOI

• MONONUCLEAR NICKEL COMPLEXES OF ORGANOSELENIUM SCHIFF BASE MACROCYCLES: SYNTHESIS AND CHARACTERIZATION

  Journal of Forensic Medicine and Toxicology · 2025-02-11

  article

  Synthesis of organoselenium multidentate ligands having 24- and 28-membered ring in dry acetonitrile under inert atmosphere has been carried out and studied their reactivity towards NiCl2. The reaction has been carried out at room temperature. These ligands on coordination with NiCl2 in, 1:2 molar ratio in CH3OH, its produced green colored compound 1 and 2. The mononuclear complexes 1 and 2 are found to have [Se{(CH2)nN=CPhC6H2(O)(4-CH3)PhC=O}2Ni] (where n = 2, 3) molecular composition with the elimination of CH3COOH and bis(aminoalkyl) selenide. The above compound 1and 2, Ni(II) binds in a bidentate mode (N2O2) after the hydrolysis of two azomethine bonds (C=N) of the Schiff base compound. The complexes 1 and 2 have been characterized by various spectroscopic techniques such as ESIMS, IR, UV-Visible, cyclic voltammeter and conductance measurements.

  PublisherDOI

• Multimodal esophageal cancer imaging: establishing data processing techniques and assessing diagnostic sensitivity

  Biophotonics discovery. · 2025-05-30

  articleOpen access

  Multimodal optical imaging techniques have generated significant interest for applications such as cancer detection, as combining complementary modalities could broaden the ability to detect early disease changes, as well as address patient-to-patient variability. However, there are challenges in determining how different imaging modalities may or may not complement one another and how best to capitalize on these advantages through computational analysis. We investigate the application of multimodal imaging for the purpose of detecting esophageal cancer, the sixth most deadly cancer in the world. To achieve this, we acquired multimodal optical imaging data-specifically autofluorescence, hyperspectral, polarized light, and optical coherence tomography (OCT)-from fresh human tissue samples obtained during upper endoscopy. Our analysis then addressed three key questions: Which individual modality best differentiates between healthy and cancerous tissues? How can data from these modalities be integrated to maximize discrimination? What computational methods are suitable for analyzing the resulting high-dimensional multimodal datasets? Our findings indicate that polarized light imaging (PLI) exhibits the strongest discriminatory power under these imaging conditions, with potential benefits observed from combining PLI and OCT in a multimodal approach.

  PublisherOA PDFDOI

• Visual Prompt Aided Single Shot Object Part Segmentation

  2025-08-18 · 1 citations

  article

  Few Shot or Single Shot Segmentation of an object part is a challenging problem owing to various factors involving scarcity of part segmentation labels and varying scale and pose of the labeled object part (support-part) in relation to query object whole segment (query-whole). Prior attempts have been made to segment the query object part using additional language guidance with object part labels. Owing to lack of proper definition of an object part or lack of part label descriptions in many scenarios (e.g. an engine part), many real-world situations demand segmenting object parts with guidance from only a visual prompt. We propose to solve the problem of few shot part segmentation using only visual prompt by modeling it as a graph labeling problem. To this end, we introduce a novel super-pixel guided DiNOv2 feature based graph modeling for the whole and part of the support object (visual prompt) and the whole of the query object. We rely on an iterative graph partitioning strategy based on reverse guidance from query to support and converge to the most optimal query part segmentation. We showcase the efficacy of our proposed method in the most exhaustive part segmentation database, ADE20K-Part-234.

  PublisherDOI

• Therapeutic and structural insights into selenium bearing inflammatory inhibitors and DNA intercalators

  Journal of Molecular Structure · 2025-05-23 · 1 citations

  article
  PublisherDOI

• Synthesis and Characterization of Novel Selenium Bearing 24‐ and 28‐Membered Macrocyclic Schiff Bases and Their Reactivity with Hg (II) Ion

  Macromolecular Symposia · 2025-02-01 · 7 citations

  article1st author

  Abstract The present study reports the synthesis of novel selenium containing 24 ( 1 )‐ and 28 ( 2 )‐membered macrocyclic Schiff base ligands and their reactivity with Hg(II) metal ion to form complex 3 and 4 , respectively. The synthesis of the ligands are carried out by a simple condensation of 2,6‐dibenzoyl‐4‐methylphenol and bis(aminoethyl/propyl)selenides in [2+2] dipodal manner in dry acetonitrile solvent under inert atmosphere. Furthermore, the reaction between the 24‐ and 28‐membered selenium containing ligands and Hg(II) metal ion are carried out in dry methanol in argon atmosphere. Following the complexation of both the ligands, 1 (C 50 H 48 O 2 N 4 Se 2 ) and 2 (C 54 H 56 O 2 N 4 Se 2 ) when reacted with HgBr 2 yields monometallic complexes 3 and 4 with molecular composition of C 50 H 50 O 3 N 4 Se 2 HgBr 2 and C 54 H 58 O 3 N 4 Se 2 HgBr 2 , respectively, as calculated via elemental analysis and mass spectrometry. Moreover, the synthesized compounds are also characterized by various physicochemical techniques to determine the structure and reactivity, which includes UV–vis, FT‐IR, multinuclear ( 1 H and 77 Se) NMR, and cyclic voltammetry.

  PublisherDOI

• Cabin Noise Modeling for Seat Location Variation Using Simulation and AI

  SAE technical papers on CD-ROM/SAE technical paper series · 2025-05-05

  articleSenior author

  <div class="section abstract"><div class="htmlview paragraph">Analyzing acoustic performance in large and complex assemblies, such as vehicle cabins, can be a time-intensive process, especially when considering the impact of seat location variations on noise levels. This paper explores the use of Ansys simulation and AI tools to streamline this process by predicting the effects of different speaker locations and seat configurations on cabin noise, particularly at the driver’s ear level. The study begins by establishing a baseline simulation of cabin noise and generating training data for various seat location scenarios. This data is then used to train an AI model capable of predicting the noise impact of different design adjustments. These predictions are validated through detailed simulations. The paper discusses the accuracy of these predictions, the challenges encountered and provides insights into the effective use of AI models in acoustic analysis for cabin noise, with a specific emphasis on seat location as a key variable.</div></div>

  PublisherDOI

• Statistically enhanced correspondence for accurate registration in mixed reality

  The Visual Computer · 2025-12-06

  article
  PublisherDOI

• Synthesis, Characterization, and Computational Studies of Organoselenium Compounds for Bioactivity Assessment Against Pancreatic Ductal Adenocarcinoma

  Macromolecular Symposia · 2025-02-01

  article1st author

  Abstract In the present research article, two small organoselenium molecules, 2‐(phenylselanyl)ethanamine, L 1 H and 2‐(phenylselanyl)propanamine, L 2 H, have been synthesized via high yield synthetic route and characterized using elemental, UV–vis, FTIR, ( 1 H and 77 Se) NMR, and mass spectrometry along with computational investigation, confirming selenium integration. Density functional theory (DFT) study elucidates the optoelectronic properties and structures of L 1 H and L 2 H, providing insights into stability and reactivity of selenium bearing small organic compounds. In addition to this, molecular docking studies and pharmacokinetic profile highlights potential binding affinity with target proteins and also suggests their promising bioactivity. The interaction between the regulatory proteins involved in pancreatic ductal adenocarcinoma (PDAC) and the synthesized small molecule L 1 H and L 2 H shows the involvement of amine group and selenium atom for inhibiting the proteins to potentially stop the growth of cancer cells. The comprehensive investigation lays groundwork for further exploration of these compounds in small molecule drug development and medicinal chemistry.

  PublisherDOI

• Hyperspectral and auto-fluorescence imaging show promise for detection of esophageal cancer

  2024-03-12 · 1 citations

  article

  Esophageal cancer’s increasing prevalence coupled with a 5-year average survival rate below 20% due largely to late detection indicates a significant need for improved imaging tools that can detect and localize early, unseen lesions and be incorporated into endoscopy for screening and evaluation of early symptoms. While white light imaging or virtual chromoendoscopy contrast-enhancement techniques like narrow-band imaging have largely seen commercialization, there remain emerging label-free imaging-based techniques that show promise for improving diagnosis and biopsy guidance. Among them we investigate the clinical potential of hyperspectral (HSI) and autofluorescence imaging (AFI) which lend themselves well to implementation in an endoscopic system. We performed ex-vivo imaging on esophageal biopsies suspicious for carcinoma (N=11) and/or Barrett’s esophagus (N=6) and adjacent normal appearing squamous mucosa in the same patient as controls. Our results indicate AFI and HSI are both promising imaging modalities for detecting and localizing morphological and metabolic changes associated with esophageal cancer.

  PublisherDOI

Frequent coauthors

• Brent Miedema

  University of Missouri

  15 shared

• Terry O. Matsunaga

  University of Nebraska Medical Center

  11 shared

• Hemanth Gavini

  10 shared

• Robert S. Krouse

  University of Pennsylvania

  9 shared

• Holekere R. Chandrasekhar

  Washington University in St. Louis

  8 shared

• Sangeeta Agarwal

  8 shared

• Vassiliki L. Tsikitis

  Oregon Health & Science University

  8 shared

• Khanh Kieu

  University of Arizona

  8 shared