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Scientist

Ashish Vaswani

1986– · Artificial Intelligence, machine learning, natural language processing

Scientist in artificial intelligence, lead author of the revolutionary paper 'Attention Is All You Need', which introduced the Transformer architecture. This model, based entirely on attention mechanisms, revolutionized natural language processing and ushered in the era of large language models such as BERT and GPT.

Biography

He received his education at the Indian Institute of Technology, earned his PhD at the University of California, Berkeley. He worked at Google Brain, then co-founded the startup Adept AI Labs, which is focused on creating universal AI agents.

Key discoveries

The Transformer architecture — a model
based on multi-head self-attention
that replaced recurrent and convolutional networks. The scaled self-attention mechanism
enabling efficient training of models on large text corpora. The concept of positional encoding to account for word order.

💡 The paper 'Attention Is All You Need' was rejected at one conference, but later became the most influential work in NLP, ushering in the era of large language models.

"They claimed that attention mechanisms are sufficient for many tasks."

Related articles

Medical Physics2025-05-162 minarXiv:2505.11735

Dense Connections vs. Residual Paths: How DenseNet-121 Outperforms ResNet-50 in Brain Cancer Detection

A brain tissue slice is just 5 microns thick, twenty times thinner than a human hair. On such a slice, a pathologist looks for signs of a tumor: altered nuclear shapes, cell crowding, abnormal blood vessels. It is painstaking work, and two specialists can disagree on the same image.

Mohnish Sao·Mousa Alrubayan·Prabhakar Pradhan

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection Convolutional Neural Networks deep learning in medical imaging neural networks Weakly Supervised Learning

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HEP Experiment2025-08-273 minarXiv:2508.20180

All tracks at once: how LHCb reads the birth of B mesons in full

In 2016, the LHCb detector at the Large Hadron Collider recorded millions of proton-proton collisions. Among the debris of these collisions, neutral B mesons were born—particles that can spontaneously transform into their antiparticles and back.

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection

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Medical Physics2026-01-021 minarXiv:2601.00685express

Brain Radiation Therapy: One Click Instead of Manual Setup

When a tumor affects the entire brain, doctors irradiate the whole organ. It's a reliable method, but setting up the radiation is painstaking: you need to adjust parameters so the tumor gets the right dose while the eyes and lenses suffer as little as possible. A specialist typically spends about 15 minutes manually tweaking settings in the software.

Adnan Jafar·An Qin·Gavin Atkins·Xiaoyu Hu·Yin Gao·Xun Jia

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection deep learning in medical imaging medical image segmentation

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Machine Learning2026-01-111 minarXiv:2601.07035express

How MRI Predicts Chemotherapy Response in Glioblastoma

Glioblastoma, a brain tumor, is a tricky foe: in some patients, the drug temozolomide works, while in others it barely helps. The difference often lies in a small stretch of DNA — the MGMT gene. If this region is chemically switched off (methylated), the tumor is worse at repairing its cells, and the drug hits harder.

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation deep learning in medical imaging prostate MRI

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Neurons and Cognition2026-01-161 minarXiv:2601.10912express

A Map of Brain Aging

The cerebral cortex is like a crumpled sheet of paper: it has thickness, curves, and folds of varying depth. With age, this sheet changes unevenly — thinning in some places, losing the sharpness of its folds in others. Previously, doctors assessed brain age as a whole, as if looking at the sheet from a distance.

Samuel D. Anderson·Jordan Jomsky·Nikhil N. Chaudhari·Nahian F. Chowdhury·Xiaoyu·Zheng·Andrei Irimia·Alzheimers Disease Neuroimaging Initiative

Rashid Alievich Sunyaev H. Dieter Zeh brain brain cancer detection medical image segmentation

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Medical Physics2026-01-211 minarXiv:2601.14654express

A Crystal Keeps an Eye on the Proton Beam

Treating cancer with a proton beam is a bit like archery: you need to hit the bull's-eye without hitting anything else. Protons release their energy at the end of their path, so healthy tissues are largely spared. But to make the shot safe, every treatment plan is checked in advance — measuring the dose the tumor will get and what the surrounding organs will receive.

Hunter D. Ellis·Ajayvarman Mallapillai·Jared Miller·Imteaz Rahaman·Botong Li·Vikren Sarkar·Kai Fu

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection proton therapy

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Machine Learning2026-01-213 minarXiv:2601.15530express

Catching Alzheimer's Without a Poke

A detective is looking for a criminal in a file of mugshots, but the portraits are mixed up. Usually, they expect a man with a gray beard, but the culprit is young and clean-shaven. Similarly, doctors often fail to recognize Alzheimer's disease in those who show unusual symptoms — not memory loss, but problems with vision or speech.

Megan A. Witherow·Michael L. Evans·Ahmed Temtam·Hamid R. Okhravi·Khan M. Iftekharuddin

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection deep learning in medical imaging Weakly Supervised Learning medical image segmentation EEG seizure detection

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Computer Vision2026-01-242 minarXiv:2601.17504express

Brain Tumor on Scans: Where Certainty Ends

Brain tissue on a scan looks like a stormy sky: bright patches, dark hollows, blurred edges. The tumor hides among these patterns, and the doctor needs to outline its contour to plan surgery or radiation. One MRI mode highlights edema, another the tumor core, a third dead areas.

Yan Zhou·Suncheng Xiang·Zhen Huang·Yue Ouyang·Yingqiu Li·Zehua Wang

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation deep learning in medical imaging Convolutional Neural Networks density matrix

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Medical Physics2026-01-261 minarXiv:2601.18219express

Diagnosis Without Lenses: Breast Cancer Seen Through Shadows

In a dark room, on a table, sit a laser pointer, a piece of glass with tissue, and an ordinary phone camera. Light passes through the sample, and the image shows not cells but a pattern of bright and dark stripes, like the shadow of leaves on a wall.

Che-Yung Shen·Xilin Yang·Yuzhu Li·Leon Lenk·Aydogan Ozcan

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection Convolutional Neural Networks deep learning in medical imaging medical image segmentation Weakly Supervised Learning

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Medical Physics2026-02-052 minarXiv:2602.06212express

Rays That Heal and Harm

When a person receives radiation for a tumor in the head or neck, the rays pass through healthy tissue as well. Sometimes the jawbone starts to die afterward — a severe complication called osteoradionecrosis. The question isn't whether it happens, but how much the radiation dose itself increases the risk.

Jingyuan Chen·Yunze Yang·Olivia M. Muller·Lei Zeng·Zhengliang Liu·Tianming Liu·Robert L Foote·Daniel J Ma·Samir H Patel·Zhong Liu·Wei Liu

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection deep learning in medical imaging

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q-bio.CB2026-02-082 minarXiv:2602.08008express

How tumor cells wander through the brain's maze

A brain tumor is like a traveler trudging through a dense forest: trees and bushes are the different types of brain tissue, some easier to traverse than others. Glioma cells don't move in a straight line; they constantly loop around, bumping into obstacles and going around them.

Martina Conte·Sandesh Hiremath·Christina Surulescu

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection stochastic gene expression cell deep learning in medical imaging genomics

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Statistical Mech2026-02-122 minarXiv:2602.11813express

How Cancer Chooses Its Path

A tumor doesn't stay put. Individual cells or whole groups break off and set off on a journey through the body. Some crawl solo, like scouts; others stick together, like a flock. Scientists built a computer model to understand how these cells pick a direction. In the model, cells respond to two signals.

R. González-Albaladejo·M. Carretero·L. L. Bonilla

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection cell medical image segmentation apparent diffusion coefficient neuron

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Chemical Physics2026-02-201 minarXiv:2602.18284express

Glowing Probe for Cancer Detection

Standard chemotherapy hits the whole body like carpet bombing: both cancerous and healthy cells suffer. Scientists are hunting for more precise weapons — molecules that light up when they slip into a cancer cell's DNA, revealing its location. Such glowing probes could help doctors spot tumors early and even destroy them with pinpoint accuracy, leaving neighboring tissue untouched.

Lena T. T. Nguyen·Ernst D. Larsson·Kajsa M. F. Niklasson·Erna K. Wieduwilt·Erik D. Hedegård

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection molecular property prediction sequencing medical image segmentation deep learning in medical imaging

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Medical Physics2026-02-241 minarXiv:2602.21354express

The Brain Under a Magnifying Glass: A Tomograph That Catches Every Detail

A camera that captures not your face but your brain itself — from the inside, layer by layer. Conventional tomographs often produce blurry images: fine details merge like letters on a fogged-up window. Engineers set out to build a device that sees clearly even what is smaller than a millimeter.

Yuemeng Feng·Lisa Blackberg·Arkadiusz Sitek·Hamid Sabet

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection Weakly Supervised Learning medical image segmentation optical microscopy

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cs.CE2026-03-202 minarXiv:2603.19829express

The Brain as Clay: Why It Shrinks in Alzheimer's Disease

Alzheimer's disease begins quietly: deep in the brain, two proteins, tau and amyloid-beta, start to accumulate. They behave like weed seeds: one clump that appears causes neighboring cells to produce similar clumps. Gradually, the proteins spread along nerve fibers, like water through the capillaries of a paper towel, and invade new areas.

A. Vazquez-Palomo·C. Betegón·J. Weickenmeier·E. Martínez-Pañeda

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection brain protein medical image segmentation

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Biological Physics2026-03-211 minarXiv:2603.20764express

Artificial Intelligence Tracks Microbes

To avoid losing a fast soccer player in the frame, a drone doesn't need a bright beacon — recognizing the silhouette is enough. Similarly, a neural network now tracks microbes: the algorithm analyzes an ordinary microscope image and instantly finds a bacterium in a drop of water.

Thierry Darnige·Daniel Midtvedt·Renaud Baillou·Benjamin Perez Estay·Changsong Wu·Alex Le Guen·Giovanni Volpe·Eric Clement

Rashid Alievich Sunyaev H. Dieter Zeh Aharonov–Bohm effect microorganism brain cancer detection spectroscopy

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Machine Learning2026-03-272 minarXiv:2603.26994express

How T Cells Recognize the Enemy: A New Look at the Immune Passport

When a virus enters the body or a cancer cell appears, T cells, the immune system's fighters, take the stage. Each T cell has its own receptor, a lock-like molecule that searches for the right key: a piece of protein (peptide) on the surface of the diseased cell. If the key fits, the T cell activates and destroys the enemy.

Marco Garcia Noceda·Matthew T Noakes·Andrew FigPope·Daniel E Mattox·Bryan Howie·Harlan Robins

Rashid Alievich Sunyaev H. Dieter Zeh immunity antibody brain cancer detection deep learning in medical imaging molecular property prediction

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Neurons and Cognition2026-03-311 minarXiv:2603.29176express

A Virtual Brain Chooses the Right Treatment

The brain of a person with Parkinson's disease works like an orchestra where the conductor either freezes or waves the baton off-beat. Medications don't help everyone, so doctors turn to stimulation — weak electrical pulses that restore the rhythm.

Siyuan Du·Siyi Li·Shuwei Bai·Ang Li·Haolin Li·Mingqing Xiao·Yang Pan·Dongsheng Li·Weidi Xie·Yanfeng Wang·Ya Zhang·Chencheng Zhang·Jiangchao Yao

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection quantum-like models brain deep learning in medical imaging Weakly Supervised Learning

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Medical Physics2026-04-032 minarXiv:2604.03431express

A Fluorescent Flashlight for Surgeons

In the operating room, the surgeon illuminates the tumor with a special agent that makes it glow. But how do you know whether it glows brightly because there are many cancer cells or simply because it lies close to the surface?

Yucheng Bian·Sebastien Ourselin·Yijing Xie

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation deep learning in medical imaging optical microscopy Convolutional Neural Networks

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Computer Vision2026-04-042 minarXiv:2604.03710express

How Graphs Find Melanoma on Your Skin

A mole on your skin looks like a mosaic of colored pieces. Each piece is a small patch of the image where color and texture barely change. Such pieces are called superpixels. If you connect them with lines, you get a network that looks like a subway map: stations are the pieces, and lines are the connections between them. The weight of each line shows how strongly two pieces are related.

Asmaa M. Elwer·Muhammad A. Rushdi·Mahmoud H. Annaby

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation Convolutional Neural Networks deep learning in medical imaging

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cs.MM2026-04-102 minarXiv:2604.14216express

How to Predict the Outcome of Brain Surgery

When medications fail to control epilepsy, doctors may suggest surgery: removing the brain region where seizures originate. But predicting whether it will help a particular person is tricky. Pre-surgery MRI scans show only the current state, not how the brain will change after the intervention. The new approach works like a librarian searching for similar medical histories.

Aizierjiang Aiersilan·Mohamad Koubeissi

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection EEG seizure detection deep learning in medical imaging

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Medical Physics2026-04-112 minarXiv:2604.10174express

Why the Brain Has a Weak Spot When It Comes to Radiation

When a person's brain tumor is irradiated, some of the energy also hits healthy cells. A few months later, MRI scans of some patients show bright spots — places where tissue has changed due to radiation. Doctors call them "radiation-induced contrast enhancements." These spots aren't always dangerous, but they show where the brain took the hardest hit.

Martina Palkowitsch·Larissa S. Kilian·Fabian Hennings·Armin Lühr·Justus Thiem·Arne Grey·Rebecca Bütof·Annekatrin Seidlitz·Esther G. C. Troost·Mechthild Krause·Steffen Löck

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation deep learning in medical imaging

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q-bio.GN2026-04-182 minarXiv:2604.18621express

A Quantum Magnifier for Lung Cancer

Two nearly identical locks are opened by the same pick. They look alike on the outside, but inside the mechanisms differ. Much the same can be said for the two main types of non-small cell lung cancer — adenocarcinoma and squamous cell carcinoma. Under a microscope, they can be confused, yet they require different treatments. That's where the quantum "magnifier" comes in.

Mandeep Kaur Saggi·Amandeep Singh Bhatia·Humaira Gowher·Sabre Kais

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection quantum dot deep learning in medical imaging medical image segmentation ion channel

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Optics2026-04-231 minarXiv:2604.21636express

Microwaves Feel for the Edge of a Tumor

A surgeon removes a breast tumor, but how do you know no cancer cells are left at the edge? Right now, the tissue goes to a lab, and the answer comes back days later. If the margin is not clean, a second surgery is needed. The new method promises to give the answer right in the operating room, while the patient is still on the table.

Harry Penketh·Sonal Saxena·Michal Mrnka·Cameron P. Gallagher·Caitlin Lloyd·Diksha Garg·Christopher R. Lawrence·Nicholas E. Grant·John D. Murphy·David B. Phillips·Ian R. Hooper·Nick Stone·Euan Hendry

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection prostate MRI medical image segmentation optical microscopy deep learning in medical imaging

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Neurons and Cognition2026-04-242 minarXiv:2604.22275express

The Brain in Milliseconds: Catching Hidden Trauma

When a soccer player heads the ball, the brain inside the skull jiggles slightly, like jelly in a sealed jar. A single impact leaves no trace, but hundreds repeat over the years. Doctors struggle to tell when these jolts start to cause harm: standard brain scans look normal, and the person may feel perfectly healthy. Scientists have found another way to peek into such a brain.

Jiajia Li·Zhenzhen Yu·Zhenghao Fu·Guozheng Xu·Jian Song

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection brain deep learning in medical imaging EEG seizure detection

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Medical Physics2026-04-241 minarXiv:2604.22666express

Ultrasound Opens the Gates to the Brain

The brain is a fortress. It's protected by a dense layer of cells that only lets in what it needs. Drugs can't get through this barrier, which is why many brain diseases are so hard to treat. Scientists have found a way to crack the fortress gates. They built a device that sends focused ultrasound into the brain. Tiny gas bubbles are injected into the blood.

Sait Kilinc·Reza Pakdaman Zangabad·Victor Menezes·Hohyun Lee·Costas Arvanitis·Levent Degertekin

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection optical microscopy ion channel deep learning in medical imaging

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Computer Vision2026-04-251 minarXiv:2604.23137express

Two Eyes Are Better Than One: How a Neural Network Learns to See Tumors

A doctor studies a brain scan: somewhere in the tangle of tissue, a tumor is hiding. One glance picks out small spots and edges, another takes in the overall shape and location. A person combines both, but across hundreds of scans that gets tedious. A new program does the same thing automatically.

Syed Ibad Hasnain·Muhammad Faris·Hafiza Syeda Yusra Tirmizi·Rabail Khowaja·Hafsa Israr

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection deep learning in medical imaging medical image segmentation Convolutional Neural Networks computer vision

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q-bio.GN2026-04-261 minarXiv:2604.23679express

Tongue Cancer: How a Scan Reveals the Tumor's Personality

A tongue tumor is like a stranger in a crowd. On the surface, they all look much alike, but beneath the surface hide very different personalities. Some tumors behave aggressively, others grow slowly. Doctors need to understand who they're dealing with before surgery. Usually, this means taking a tissue sample — a biopsy.

Hao Pan·Peipei Wang·Yajie Chang·Bingyi Lu·Yunyan Jiang·Mengfan Wang·Xinyue Wang·Xinrou Yang·Jiyuan Zhang·Yu Liu·Andrei Velichko·Yuanjun Wang

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation deep learning in medical imaging

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Medical Physics2026-04-272 minarXiv:2604.24417express

Electrons at Light Speed Against Brain Tumors

A garden hose shoots a thin, powerful jet. If you sweep it across the yard, you can water the whole bed without flooding the path. That's roughly how the new approach to treating deep tumors works: instead of a broad radiation field, you take a narrow beam of electrons accelerated to nearly the speed of light and scan it across the tumor like a jet of water.

Leonida A. Gizzi·Damiano Del Sarto·Federico Avella·Gabriele Bandini·Simona Piccinini·Daniele Panetta·Davide Terzani·Luca Labate

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection medical image segmentation

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q-bio.QM2026-04-302 minarXiv:2605.00272express

The Protein of Forgetfulness: How Math Catches an Invisible Foe

Mold on bread: a spot today, half a loaf tomorrow. That's roughly how amyloid-beta spreads through the brain — a sticky protein that clumps up in Alzheimer's disease and disrupts neuron function.

Zheyu Wen·George Biros

Rashid Alievich Sunyaev H. Dieter Zeh Weakly Supervised Learning brain cancer detection Large Language Models deep learning in medical imaging evidential neural networks

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cs.CE2026-05-012 minarXiv:2605.00730express

How the Brain Takes Out the Trash: A Map of Flows

Imagine a river that doesn't flow in an open channel but through the inside of a sponge, with its currents shifting from place to place. That's a good way to think about the brain's glymphatic system: a network of ultra-fine channels around blood vessels, through which cerebrospinal fluid seeps into the tissue and washes away the waste that has piled up during the day.

A. Derya Bakiler·Michael J. Johnson·Michael R. A. Abdelmalik·Frimpong A. Baidoo·Andrew Badachhape·Ananth V. Annapragada·Thomas J. R. Hughes·Shaolie S. Hossain

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection Neural Network Oscillations brain Filtering Recurrent Neural Networks

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Medical Physics2026-05-031 minarXiv:2605.01918express

Water Exchange in Tumors: What MRI Can Reveal

Imagine a water park with many pools connected by narrow passages. Visitors, water molecules, splash around in each pool, but occasionally move to the next one. In a brain tumor, these "passages" are protein channels in cell membranes. Their abundance determines how quickly water moves between cells.

Arthur Chakwizira·Filip Szczepankiewicz·Carl-Fredrik Westin·Linda Knutsson·Pia C Sundgren·Markus Nilsson

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection apparent diffusion coefficient prostate MRI medical image segmentation

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Signal Processing2026-05-201 minarXiv:2605.21350express

Radar Instead of a Scanner: How Antennas Hunt Tumors

When you need to see inside the brain, you usually lie in a tight tube of an MRI scanner or get zapped with X-rays. Both methods are costly, bulky, and not always available.

Keniel Peart·Indu Bodala·Shelly Vishwakarma

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection antennas radar

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Image Processing2026-05-223 minarXiv:2605.24179express

Why Your Hand Trembles but Your Legs Won't Move

For one person, the disease begins with a tremor in the hand — the cup dances on its saucer as they carry it to the table. For another, the legs suddenly refuse to move smoothly: the step becomes short and shuffling, as if the floor were suddenly covered in a sticky layer. These are not two different diseases but two faces of the same one — Parkinson's disease.

Anne Louise Kristoffersen·Runa Geirmundsdatter Unsgård·Marc-Antoine Fortin·Ingrid Gylterud Kvålsgard·Kjersti Eline Stige·Thanh Pierre Doan·Erik Magnus Berntsen·Charalampos Tzoulis·Pål Erik Goa

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection deep learning in medical imaging molecular property prediction brain medical image segmentation

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Machine Learning2026-05-302 minarXiv:2606.00892express

How a Digital Twin Saves a Brain in Minutes

A plumber clears a clog in a narrow, winding pipe — by feel, without seeing inside. That's roughly how a surgeon feels during mechanical thrombectomy, the operation to remove a blood clot from a brain vessel. Time is short, and every move can either save a life or damage the vessel wall.

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection evidential neural networks Explainable AI deep learning in medical imaging Weakly Supervised Learning

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Medical Physics2026-06-051 minarXiv:2606.07851express

How to See Capillaries in a Living Brain

Photographing a delicate spiderweb trembling in the wind: that's roughly what it takes to look into the blood vessels of a living brain. Ultrasound localization microscopy (ULM) turns ordinary ultrasound into a tool capable of seeing individual capillaries, but only if you get the settings just right.

Brice Rauby·Nin Ghigo·Gerardo Ramos-Palacios·Alexis Leconte·Stephen A. Lee·Alice Wu·Paul Xing·Oleksandra Gulenko·Louis Caron·Antoine Malescot·Eric Martineau·Jonathan Porée·Maxime Gasse·Ravi L. Rungta·Abbas F. Sadikot·Jean Provost

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection optical microscopy

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q-bio.QM2026-06-102 minarXiv:2606.11876express

When a Test's Silence Speaks Louder Than Numbers

When the canary in the coal mine falls silent, the miners know: the gas is already here, time to get out. Tumor DNA floating in the blood behaves much the same way. The drug bears down on the cancer, and the level of this DNA drops to nearly zero. The test stops seeing it. The doctor sees 'clean' and breathes easy. But silence can be deceptive.

Aarchi Singh Thakur·Abhijoy Sarkar

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection gene expression noise stochastic gene expression Weakly Supervised Learning DNA

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Medical Physics2026-06-191 minarXiv:2606.21336express

A Magnetic Compass for the Brain, Without the Noise

The powerful magnet of an MRI scanner induces weak electric currents in tissues. Their phase behaves like a compass needle trembling with every gust of wind — the slightest disturbance turns the map into a ripple, where instead of small vessels or iron deposits, all you see is noise.

Barbara Dymerska·Oliver Josephs·Benjamin James·Vahid Malekian·Nadine N. Graedel·Martina F. Callaghan

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection electromagnetic compatibility prostate MRI

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Quantum Physics2026-06-251 minarXiv:2606.27411express

The Quantum Compressor: A New Way to Find Brain Tumors

A cook spends years honing the skill of reducing a recipe to three or four essentials and recreating the dish from them. If the ingredients are familiar, the expected meal lands on the plate. A foreign ingredient disrupts compression, and you get something unrecognizable. The Quantum Compressor does the same with medical scans.

Santanu Ganguly·Xing Liang·Dimitrios Makris

Rashid Alievich Sunyaev H. Dieter Zeh brain cancer detection quantum information quantum sensing quantum measurement quantum annealing

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Medical Physics2026-07-102 minarXiv:2607.09401express

When Vessel Walls Distort the Picture

In the brain's white matter, the signal travels along axons — long neuronal processes wrapped in an insulating myelin sheath. Water fills the space inside axons and outside, in the narrow gaps between fibers.

Rutger H. J. Fick

Rashid Alievich Sunyaev H. Dieter Zeh apparent diffusion coefficient brain cancer detection Water

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